We are looking for a C++ engineer to design and build high-performance, low-latency applications that process large volumes of real-time data.

Principal Responsibilities:

• Design, implement, and maintain high-performance C++ services handling high message rates and low-latency workloads.

• Optimise existing components for latency, throughput, and CPU/memory efficiency.

• Develop and tune networking, messaging, and I/O layers to handle large data volumes reliably.

• Profile and debug performance issues at application, OS, and network levels.

• Collaborate with quantitative, trading, and infrastructure teams to translate requirements into robust technical solutions.

• Write clean, production-quality code with appropriate tests and documentation.

• Participate in code reviews, design discussions, and continuous improvement of engineering practices.

Required Qualifications:

• Strong proficiency in modern C++ (C++17/20 or later).

• 5+ years of experience.

• Analytics Focus: KDB / Q Experience for large market data, modern data analysis with pytorch, pandas and modern tooling including Apache arrow.

• Familiar with basics statistics as applied to financial research.

• Proven experience building performance-critical, real-time, or low-latency systems.

• Strong knowledge of computer science fundamentals: data structures, algorithms, memory management, and optimisation.

• Experience using profiling, benchmarking, and performance analysis tools.

• Proficiency with version control (Git) and standard build systems.

• Excellent problem-solving skills and attention to detail.

• Strong interpersonal skills with a proven ability to navigate large organisations.

Preferred Qualifications:

• Experience with kernel bypass or user-space networking technologies.

• Familiarity with AI productivity enhancing coding tools.

• Experience in financial markets, market data distribution, order routing, or exchange connectivity.

• Experience with monitoring/telemetry for high-performance systems.

• Familiarity with scripting languages for tooling and automation.

• AI: Familiarity with AI productivity enhancing coding tools.

Personal Attributes:

• Obsessed with performance, measurement, and data-driven optimisation.

• Comfortable owning features end-to-end and operating in a production environment.

• Clear communicator who can work closely with both technical and non-technical stakeholders.

• Proactive, self-directed, and able to thrive in a highly iterative environment.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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As a Compliance Analyst on our team, you will have the opportunity to provide both high-level analysis and day-to-day support in connection with the Firm's compliance programme. The role demands an ability to multi-task, work within a team as well as independently, and communicate effectively with business groups. It requires an individual who understands the necessity for confidentiality and professionalism at all times.

Responsibilities:

Assist in the Firm's global compliance programme, records, and systems, which include regulatory filings, examinations, investigations, regulatory inquiries, audits, and inspections Manage the Firm's code of ethics/personal trading policies utilising compliance software Liaise with employees to ensure all necessary personal trading information is provided to the Firm to enable trade monitoring in accordance with regulatory requirements Work on the personal trading programme including personal trade disclosures, pre-approval requests and reconciliation Coordinate the Firm's compliance certification programme Help with preparation, delivery, and tracking of relevant compliance trainings Facilitate the development of controls and system enhancements to improve the Firm's compliance programme Aid with the internal compliance projects, such as preparing metrics of department projects and trend analysis Undertake ad-hoc compliance-related projects, as assigned

Qualifications:

1+ years' experience in financial services control functions, ideally Hedge Fund and Private Equity regulatory compliance experience or accounting, investor services, policy, audit or similar process-driven and detail-oriented experience in financial services Bachelor's degree from an accredited university or college with a strong academic record Strong attention to detail and organisation skills, possess the ability to spot issues, and respond timely Outstanding verbal and written communication skills, with poise and confidence to interact with internal clients at all levels Ability to prioritise in a fast-paced, high-pressure, constantly evolving environment with high urgency and ownership Ability to learn and develop ownership of systems

The estimated base salary range for this position is $70,000 to $160,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalising an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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You will be accountable for leading the developing and delivering critical components of the US brand strategy in partnership with the cross-functional (XF) team,translating strategy into high-quality pre-launch and launch execution.

This role requires an outcomes-focused leader, ideally with previous people leadership experience, who can motivate cross-functional partners, guide country teams, and exercise evaluative judgment in complex, ambiguous situations.

You have a passion for campaign marketing, an eye for detailed planning, and the ability to assess multiple angles to develop pragmatic solutions.

Your initiatives are rooted in robust market research and a sharp understanding of the external environment.

Major Duties and Responsibilities:

As the Director, Marketing - COPD you will be accountable for:

Brand Plan Development & Implementation: Lead the development and implementation of the US pre-launch and promotional activity plan, ensuring quality, compliance, and measurable impact.

Lead US Initiative Roll-out Plans: Lead the roll-out of US initiatives, projects, and engagement plans (e.g., campaigns, brand forums, congress strategy and presence), with a focus on T8 markets and scalable toolkits.

Market Partnership and Execution: Engage closely with local marketing teams to ensure flawless, aligned execution of the promotional plan; collect and synthesize market feedback to refine guidance.

Strategy Input and GSP: Provide promotional input to the US strategy, including positioning, messaging, and priority initiative recommendations.

External Engagement and Advocacy: Engage with KEEs and other priority stakeholders to gather input that informs the promotional strategy and activity plan, supporting advocacy development and evidence-led storytelling.

Omnichannel and C360 Enablement: Support segmentation, journey mapping, and content operations in C360; track channel performance and drive continuous optimization of HCP and patient engagement.

AI Enabled Ways of Working: Champion responsible use of AI to enhance content creation, tagging, and analytics; document learnings and best practices for scale.

Agency and Budget Operations: Manage day-to-day agency briefs, timelines, and deliverables; support PO creation, budget tracking, and investment reporting.

Performance Tracking: Maintain dashboards, KPIs, and leading indicators; contribute to business reviews and implement course corrections on owned initiatives.

Requirements/Qualifications:

Education: Bachelor's degree is required with business degree or scientific expertise as preferred

Experience:

Strong in market experience launching biologics, preferably in respiratory; specialty care experience required.

Demonstrated experience leading marketing campaign implementation in a global role or a significant global market.

In-depth understanding of commercial strategy, methodologies, and tools, including product profiling and positioning, forecasting inputs, pricing and reimbursement, market research techniques, and competitive intelligence.

Proven experience engaging external customers (e.g., KEEs, prescribers, payers) and translating insights into actionable plans.

Special Skills/Abilities:

Strong planning and project management, with the ability to manage complex, multi-stakeholder initiatives and deliver at pace.

Demonstrated ability to lead without authority and influence across functions and geographies.

Ability to gauge feasibility, impact, and risk of proposed programs; data-driven decision-making.

Strong leadership and influencing skills to ensure commercial focus in global projects.

Demonstrated ability to bring ideas to action and deliver measurable outcomes.

Robust analytical, organizational, and communication skills (written and verbal).

Proven collaborator who operates well amid ambiguity, simplifies complexity, and manages multiple priorities.

Total Rewards: The annual base pay (or hourly rate of compensation) for this position ranges from $193,898 to $290,847. Our positions offer eligibility for various incentives,an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.

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The ideal candidate will have a strong background in resilient kubernetes application architecture and deployment.

Responsibilities

• Champion reliability initiatives for Kubernetes application deployments: Advocate for best practices to ensure high availability, scalability, and resilience of applications in Kubernetes, focusing on robust testing, secure pipelines, and efficient resource use.
• Administer multi-tenant Kubernetes platforms: Manage complex multi-tenant Kubernetes clusters, configuring access, quotas, and security for isolation and optimal resource allocation while upholding SLAs.
• Perform lifecycle and day 2 operations on clusters: Execute Kubernetes cluster lifecycle, including provisioning, patching, monitoring, backup, disaster recovery, and troubleshooting.
• Deep dive into reliability issues: Conduct in-depth analysis and root cause identification for complex reliability incidents in Kubernetes, utilizing advanced debugging and monitoring tools to propose preventative measures.
• Perform on-call duties: Respond to critical alerts and incidents outside business hours, providing timely resolution to minimize disruptions, collaborating with teams, and communicating clearly.

Requirements

• Bachelor's in CS, Engineering, or related field, or equivalent experience preferred.
• CKA or similar certifications is highly desired.
• 5+ years administering multi-tenant SAAS Kubernetes (EKS, AKS, GKS).
• Strong Gitops/Devops with Argocd or similar helm chart management.
• Proven Docker and containerization experience.
• Strong Linux OS experience.
• Proficient in Go.
• Excellent problem-solving, debugging, and analytical skills.
• Strong communication and collaboration.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Benefits

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

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Anthropic is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on,from metrics and logging pipelines to distributed tracing, error analytics, alerting, and the dashboards and query interfaces that make it all actionable.

As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude. We’re building next-generation observability systems,high-throughput ingest pipelines, cost-efficient columnar storage, unified query layers across signals, and agentic diagnostic tools,to ensure that engineers can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become exponentially more complex.

Responsibilities

• Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic’s multi-cluster infrastructure

• Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organisational growth

• Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services

• Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise

• Reduce mean time to detection and resolution by building cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling

• Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organisation

You May Be a Good Fit If You

• Have 10+ years of relevant industry experience building and operating large-scale observability or monitoring infrastructure

• Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others

• Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale

• Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems

• Have strong proficiency in at least one of Python, Rust, or Go

• Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities

• Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges

Strong Candidates May Also Have

• Experience operating metrics systems at very high cardinality (hundreds of millions of active time series or more)

• Experience with log storage migrations or operating columnar databases (ClickHouse, BigQuery, or similar) for analytics workloads

• Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies

• Experience building or operating alerting platforms, on-call tooling, or SLO frameworks at scale

• Experience with Kubernetes-native monitoring, eBPF-based observability, or continuous profiling

• Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

Gusto is scaling our AI-powered risk function to support a complex, multi-entity business operating in highly regulated environments. As the Enterprise Risk Management Lead, you will own and operate Gusto's Enterprise Risk and Third Party Risk Management programs , built AI-first, designed to scale, and built to enable the business to move fast without breaking things.

This is a People Empowerer (manager) role. You balance hands-on program leadership with managing and developing a team of compliance professionals. You navigate the tension between "doing the work" and "leading the work" , contributing directly to complex, high-impact programs while ensuring your team delivers with excellence.

You are a change agent who influences how automated risk management gets done at Gusto, models AI-enabled ways of working, and helps others grow their own capabilities in the process.

You will champion the adoption of AI, machine learning, and process automation across risk monitoring, control testing, incident management, and reporting , and you will partner with Product, Data Science, and Engineering to make it explainable, adopted, compliant, and scalable.

Here’s what you’ll do day-to-day:

You manage initiatives that are complex in both scope and impact, influencing the strategic direction of Gusto's compliance risk management framework.

You apply a deep understanding of the regulatory landscape and how it intersects with Gusto's business model to proactively design and lead cross-functional risk programs.

You translate complex risk topics into clear, actionable guidance that senior leaders can immediately understand and operationalize.

You lead cross-functional working groups, align divergent perspectives, and drive cohesive progress toward shared goals , with minimal oversight.

As a PE, you balance individual risk and compliance contribution with team leadership.

You manage operations, professional development, resource allocation, and performance , while staying close enough to the work to be a credible, hands-on partner to your team and stakeholders.

You model responsible AI use, and act as a source of knowledge and mentorship , supporting your team's AI journey and helping others apply it responsibly and effectively.

AI-Enabled Risk Operations, Innovation & Transformation

This is how you and your team operate , not a side project.

• Champion the adoption of AI, machine learning, process automation, and advanced analytics to improve risk monitoring, control testing, and reporting across ERM, TPRM, and broader compliance functions

• Lead the integration of AI and automation into every phase of the risk lifecycle: vendor assessments, document ingestion and analysis, continuous monitoring and alerting, risk scoring, prioritization, and trend analysis

• Build intelligent risk monitoring and evaluation systems , including auto-tagging for risk issues, audit requests, and regulatory changes , that improve real-time visibility and eliminate manual effort across the enterprise risk portfolio

• Drive the digitalization of risk tools including RCSAs, KRIs, incident reporting, and audit tracking , transforming periodic, reactive processes into continuous intelligence systems with live leading and lagging indicators that enable real-time decision-making

• Partner with Product, Data Science, and Engineering to define requirements for AI-driven workflows, decisioning engines, and dashboards , ensuring explainability, auditability, and regulatory defensibility of all AI-enabled risk decisions

• Design and build intelligent dashboards and reporting tools that deliver real-time risk visibility and decision-quality insights to senior leadership and cross-functional stakeholders

• Design AI workflows with appropriate validation loops, human-in-the-loop checkpoints, and guardrails , ensuring outputs are reliable, governable, and meet regulatory standards before being used to frame risks, recommendations, or decisions

• Stay current on AI advancements and emerging technologies and proactively integrate new capabilities into team operations to increase velocity and scale

• Model responsible AI use , supporting ICs in their AI journeys and fostering a culture of intentional experimentation, accountability, and continuous improvement

Enterprise Risk Management

• Design, implement, and continuously improve Gusto's ERM framework, ensuring alignment with best practices and Gusto's stage of growth and strategic priorities across all entities

• Define and maintain Gusto's enterprise risk taxonomy, risk appetite statement, and key risk indicators spanning operational, regulatory, technology, financial, and reputational risk domains

• Lead Gusto's Enterprise Risk Management process , driving integration of risk practices across business functions, promoting a proactive risk culture, and ensuring incident management, root cause analysis, and lessons learned are systematically captured in an automated, AI forward way.

• Apply AI-assisted insights to enterprise risk datasets to surface systemic patterns, validate assumptions, prioritize risks, and deliver proactive, data-driven advisory to senior leadership

• Monitor the regulatory landscape (OCC, FDIC, CFPB, SEC, FINRA, GDPR, NIST, ISO, SOC) and leverage AI to proactively incorporate changes before they become compliance gaps

• Act as a key advisor to senior compliance leadership , translating complex risk findings into clear, actionable recommendations with minimal oversight

Third Party Risk Management (TPRM)

• Design, implement, and independently manage a high-impact, AI-first TPRM program with clear milestones, progress tracking, and measurable outcomes across all Gusto entities

• Manage the full third-party risk lifecycle , onboarding and risk profiling, periodic assessments, issue management, corrective action tracking, and offboarding , across suppliers, product partners, contractors, service providers, and cloud service providers , and do so in an AI and automated way.

• Maintain a centralized, authoritative vendor risk inventory and risk register, ensuring real-time visibility into Gusto's third-party risk posture

• Conduct periodic AI-driven audits and reviews of third-party compliance with contractual obligations and regulatory standards, identifying patterns that inform continuous program improvement

• Serve as the central orchestrator across Compliance, Security, Legal, Procurement, IT, and GRC for proactive and reactive third-party incident management

• Own Gusto's TPRM policy and maintain comprehensive documentation , risk assessments, audit findings, corrective actions , ensuring full accountability and traceability

People Leadership & Team Development

• Balance individual compliance contribution with team leadership , managing operations, professional development, resource allocation, and performance while staying close to the work

• Coach and develop ICs toward next

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In this role, you will push the boundaries of container orchestration far beyond existing systems like Kubernetes, manage exascale compute resources, optimize for high-performance training runs and production serving, and collaborate closely with research and systems teams to deliver reliable, ultra-scalable infrastructure that enables xAI's next-generation models and applications.

Responsibilities include building and managing massive-scale clusters, designing, developing, and extending an in-house container orchestration platform, collaborating with research teams to architect and optimize compute clusters, profiling, debugging, and resolving complex system-level performance bottlenecks, and owning end-to-end infrastructure initiatives.

To succeed in this role, you will need deep expertise in virtualization technologies and advanced containerization/sandboxing, strong proficiency in systems programming languages such as C/C++ and Rust, and proven track record profiling, debugging, and optimizing complex system-level performance issues.

Preferred skills and experience include experience in Linux kernel development, hypervisor extensions, or low-level system programming for compute-intensive workloads, operating or designing large-scale AI training/inference clusters, and familiarity with performance tools, tracing, and debugging in production distributed environments.

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In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

Own the end-to-end enforcement strategy against unauthorized frontier model abuse , from detection signal development through enforcement action and post-enforcement measurement

Operationalize detection and review pipelines , translating leads from case investigations and detection outputs into structured review workflows that scale across surfaces

Drive enforcement actions for high-priority actors , synthesizing signals from across intelligence, detection, and review into enforcement packages suitable for formal escalation

Partner with Legal and Policy to assess case strength, characterize ToS and IP violations, and support enforcement escalations through formal channels

Close the loop between enforcement outcomes and upstream improvements , channeling review results and enforcement findings back to policy updates and detection refinements

Develop and maintain a dynamic enforcement framework that accounts for the complexity of cross-surface enforcement , including varied escalation paths, partner coordination, and enforcement consistency across surfaces

Collaborate with Threat Intelligence, Research, Engineering, and Policy partners to ensure detection coverage keeps pace with evolving frontier abuse tactics

Maintain rigorous documentation of enforcement decisions, pipeline logic, and precedents to build institutional knowledge

Qualifications:

Required

5+ years of experience in trust & safety, abuse enforcement, fraud investigation, policy, or a related field , with demonstrated ownership of complex, high-stakes enforcement programs

Track record of building detection and enforcement approaches for novel or emerging abuse vectors where established playbooks don't exist

Experience supporting or directly contributing to formal enforcement actions , including case documentation, evidence packaging, and escalation coordination

Strong data analysis skills , comfortable navigating complex, multi-table datasets to surface behavioral patterns and support investigations

Experience conducting structured investigations, including open-source intelligence techniques and cross-referencing external data sources to attribute activity

Demonstrated ability to translate ambiguous policy questions into defensible enforcement decisions and clear written findings

Strong written and verbal communication skills , able to present complex enforcement cases clearly to stakeholders across Legal, Policy, and Engineering

Preferred

Familiarity with the AI/ML ecosystem , including how model distillation, fine-tuning, and synthetic data generation work in practice, and how actors attempt to obscure this activity

Experience conducting threat actor profiling or open-source investigations in a trust & safety, intelligence, or legal context

Experience working with generative AI products, including using AI tools to accelerate investigative and analytical workflows

Background or interest in AI policy, IP enforcement, competitive intelligence, or AI governance

Experience coordinating with external enforcement partners or platform partners on escalated enforcement actions

Education: At least a Bachelor's degree in a relevant field, or equivalent experience.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $230,000-$270,000 USD

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Your expertise will be focused on the intricate details of system internals, performance, and efficiency. You will work closely with other senior engineers and architects to define technical strategies and roadmaps, and collaborate with junior engineers to mentor and contribute to a culture of technical excellence.

Responsibilities:

• Design, implement, and maintain core system infrastructure and low-level software components.
• Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions.
• Work with JVM internals, memory management, concurrency, and distributed systems.
• Collaborate with other senior engineers and architects to define technical strategies and roadmaps.
• Mentor junior engineers and contribute to a culture of technical excellence.
• Participate in code reviews, design discussions, and architectural decision-making.
• Troubleshoot complex system issues and provide effective resolutions.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 7+ years of professional experience in software development.
• Deep understanding of Java Virtual Machine (JVM) internals, including garbage collection, JIT compilation, class loading, and memory model.
• Proficiency in at least one JVM language and extensive experience with its runtime environment.
• Strong programming skills in Scala/Java/Rust or other systems-level languages.
• Extensive experience with operating system concepts; including processes, threads, concurrency, scheduling, and I/O.
• Proven track record of building and optimizing high-performance, scalable, and reliable systems.
• Experience with distributed systems concepts and technologies.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and collaboration abilities
• Experience with performance profiling and tuning tools.
• Contributions to open-source projects related to JVM or systems software.
• Experience with RPC frameworks.

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Your work will touch the full GenAI inference stack , from kernels and runtimes to orchestration and memory management. You will contribute to the design and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference.

Key responsibilities include:

• Collaborating with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine
• Optimizing for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators
• Building and maintaining instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations
• Developing and enhancing scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads
• Supporting reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning
• Integrating with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead
• Collaborating cross-functionally: with platform engineers, cloud infrastructure, and security/compliance teams
• Documenting and sharing learnings, contributing to internal best practices and open-source efforts when possible

Requirements include:

• BS/MS/PhD in Computer Science, or a related field
• Strong software engineering background (3+ years or equivalent) in performance-critical systems
• Solid understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc.
• Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.)
• Comfortable designing and operating distributed systems, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning
• Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler)
• Experience building instrumentation, tracing, and profiling tools for ML models
• Ability to work closely with ML researchers, translate novel model ideas into production systems
• Ownership mindset and eagerness to dive deep into complex system challenges
• Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving

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Anthropic is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on,from metrics and logging pipelines to distributed tracing, error analytics, alerting, and the dashboards and query interfaces that make it all actionable.

By joining this team, you’ll have a direct impact on the reliability and operational excellence of Anthropic’s research and product systems.

As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude. We’re building next-generation observability systems,high-throughput ingest pipelines, cost-efficient columnar storage, unified query layers across signals, and agentic diagnostic tools,to ensure that engineers can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become exponentially more complex.

Responsibilities

• Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic’s multi-cluster infrastructure

• Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organisational growth

• Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services

• Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise

• Reduce mean time to detection and resolution by building cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling

• Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organisation

You May Be a Good Fit If You

• Have 10+ years of relevant industry experience building and operating large-scale observability or monitoring infrastructure

• Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others

• Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale

• Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems

• Have strong proficiency in at least one of Python, Rust, or Go

• Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities

• Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges

Strong Candidates May Also Have

• Experience operating metrics systems at very high cardinality (hundreds of millions of active time series or more)

• Experience with log storage migrations or operating columnar databases (ClickHouse, BigQuery, or similar) for analytics workloads

• Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies

• Experience building or operating alerting platforms, on-call tooling, or SLO frameworks at scale

• Experience with Kubernetes-native monitoring, eBPF-based observability, or continuous profiling

• Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we’re different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm.

Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.

Responsibilities:

• Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment

• Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors

• Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns

• Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems

• Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs

• Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions

• Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities

• Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes

You may be a good fit if you

• Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience with threat actor profiling and utilizing threat intelligence frameworks

• Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats

• Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners

• Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership

Strong candidates may also have

• Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field

• Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats

• Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information

• Background in AI safety, machine learning security, or technology abuse investigation

• Familiarity with synthetic biology, biotechnology, or dual-use research

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

The annual compensation range for this role is $230,000-$290,000 USD.

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a very specific candidate who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system.

The U.S. Withholding Tax Associate Manager will be an integral part of the Coinbase tax team, supporting the day-to-day operations of the U.S. withholding tax function, including backup withholding and nonresident alien (NRA) withholding.

This role will focus on ensuring Coinbase's compliance with U.S. withholding tax requirements and collaborate cross-functionally with product, platform, and data teams to drive continuous process improvements.

Key responsibilities include:

• Ensuring accurate application of backup withholding and NRA withholding rates on reportable transactions
• Monitoring and ensuring timely withholding tax deposits in accordance with IRS requirements
• Reconciling withholding tax liabilities and supporting preparation of Form 945 and Form 1042
• Monitoring withholding rate changes and coordinating system updates accordingly
• Tracking and responding to IRS notices including B-notices, C-notices, and withholding tax assessments
• Supporting withholding tax audits and tax authority requests
• Researching and analyzing U.S. withholding tax developments and assessing impact on Coinbase operations
• Identifying and implementing improvements to withholding tax processes and procedures
• Responding to inquiries from product, onboarding, and customer support teams regarding U.S. withholding tax requirements
• Partnering with product and data teams on system requirements and business rules for withholding tax processes
• Supporting customer service teams through internal education and customer escalations related to withholding tax
• Coordinating across departments including product, data analytics, onboarding, customer service, and communications

To be successful in this role, you will need:

• A Bachelor’s degree in Finance, Accounting, or similar field
• 4-7+ years of experience in U.S. withholding tax, ideally with a bank, broker-dealer, large financial institution or multinational or Big 4
• Strong technical knowledge of backup withholding (IRC Section 3406) and NRA withholding (IRC Sections 1441-1446)
• Experience with U.S. withholding tax deposits, reconciliations, and filings (Form 945, Form 1042)
• Familiarity with IRS notice processes, including B-notices and C-notices
• Experience with withholding tax systems and tools
• Experience with withholding tax system implementations or process automation
• Excellent written and verbal communication skills, with the ability to explain withholding tax requirements to both tax and non-tax audiences
• Strong attention to detail and process orientation
• Collaborative mindset and positive attitude
• Willingness to adapt and learn in a fast-paced environment
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality

Nice to have:

• Experience with data analytics tools such as Snowflake, Looker, or similar platforms for withholding tax reconciliation and reporting
• IRS withholding tax audit or examination experience
• Basic knowledge of SQL for data extraction and analysis
• Experience with withholding tax system implementations or process automation

Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). Annual base salary range (excluding equity and bonus): $130,900-$154,000 USD

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You will be a member of the user well-being team, with an initial focus on standing up detection, review, and escalation workflows for this domain , from tuning classifiers and curating evaluation datasets through to managing external partnerships and real-world harm escalation pathways.

This position may later expand to include broader areas of user well-being enforcement. Safety is core to our mission, and you'll help shape policy enforcement so that our users can interact with and build on top of our products across all surfaces in a harmless, helpful, and honest way.

In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

• Design and architect automated enforcement systems and review workflows for human exploitation and abuse, ensuring they scale effectively while maintaining high accuracy

• Partner with Product, Engineering, and Data Science teams to build and tune detection signals for human trafficking, sextortion, and image-based sexual abuse, and to develop custom mitigations for these sensitive policy areas

• Curate policy violation examples, maintain golden evaluation datasets, and track enforcement actions across both consumer and API surfaces

• Conduct deep-dive investigations into suspected exploitation activity , using SQL and other data analysis tools to surface threat patterns and bad-actor behavior in large datasets , then produce clear, well-sourced intelligence reports that inform detection strategy and surface policy gaps to the Safeguards policy design team

• Study trends internally and in the broader ecosystem , including evolving trafficking and sextortion tactics , to anticipate how AI systems could be misused for exploitation as capabilities advance

• Review and investigate flagged content to drive enforcement decisions and policy improvements, exercising careful judgment on the line between permitted adult content and exploitative material

• Build and maintain relationships with external intelligence partners , including hotlines, NGOs, and industry hash-sharing consortia , to inform our approach and enable appropriate real-world escalation

You may be a good fit if you have:

• 3+ years of experience in trust and safety, content moderation, counter-exploitation work, or a related field

• Subject matter expertise in one or more of: human trafficking, human exploitation and abuse, sextortion, image-based sexual abuse / non-consensual intimate imagery, or commercial sexual exploitation

• Experience building or operating detection and review workflows for sensitive content, at a platform, NGO, hotline, or similar organization

• Ability to use SQL, Python, and/or other data analysis tools to interact with large datasets and derive insights that support key decisions and recommendations

• Demonstrated ability to analyze complex situations and make well-reasoned decisions under pressure

• Sound judgment in distinguishing permitted content from exploitative content, and comfort working in areas where these lines require careful reasoning

• Strong attention to detail and ability to maintain accurate documentation

• Ability to collaborate with team members while navigating rapidly evolving priorities and workstreams

Preferred:

• Familiarity with the NGO and industry ecosystem working on these harms (for example, Polaris Project, Thorn, NCMEC, IWF, StopNCII, or industry hash-sharing initiatives)

• Experience conducting open-source investigations or threat actor profiling in a trust & safety, intelligence, or law enforcement context

• Experience working with generative AI products, including writing effective prompts for content review and enforcement

• A deep interest in AI safety and responsible technology development

• Experience standing up real-world harm escalation pathways or working with law enforcement referral processes

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $245,000-$285,000 USD

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You will join Carta's Tax team as a US Federal tax preparer and reviewer, leveraging Carta's proprietary tax engine to file tax returns for our clients.

The Team

You will be collaborating with our wider Carta accounting, fund administration, and compliance teams on relevant tax issues that relate to Carta's products and services.

The Problems

• Turning professional services into products is challenging: how do you productize workflows so that we can deliver the fastest tax solutions with perfect accuracy?
• We are at the intersection of finance, tax, and technology: how do we build a tax engine that will make tax filings feel as simple as ordering a book online?
• We automate investment structures in venture capital: how can you help scale post-deal processes so that each container is as seamless and fun to use as the last one created?

About You

Must have US Federal tax experience for the preparation and filing of tax returns and IRS e-filings, focusing on partnership tax returns. You are a fully qualified CPA (or eligible to sit for CPA exam) who understands the intricacies of US tax filings relating to investment vehicles, and have a burning desire to see it automated and simplified.

Requirements

• High attention to detail: written and quantitative.
• Organized and calm under pressure, you are able to manage competing demands on your time, whilst persevering to solve ambiguous problems.
• Passionate and knowledgeable about venture capital: you intimately understand the pressures facing our clients and are ready to roll up your sleeves in a fast-paced environment

Disclosures

We are an equal opportunity employer and are committed to providing a positive interview experience for every candidate.

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You'll be working closely with our Design team to evolve and scale our component library, ensuring it's accessible, composable, and well-documented. You'll also be responsible for profiling, diagnosing, and fixing client-side performance bottlenecks, establishing performance budgets, and building dashboards to keep the team honest.

As a force multiplier, you'll act as a coach and enablement specialist, helping product teams adopt improvements and level up their craft. You'll write playbooks and docs, deliver tech talks, pair with product engineers, and create local tooling to improve developer speed and quality.

In this role, you'll have the opportunity to work on a wide range of challenging projects, from performance optimization to design system evolution. You'll be part of a flat organizational structure, where everyone is valued and empowered to contribute. And, as a remote-friendly company, you'll have the flexibility to work from anywhere, with opportunities for in-person collaboration when needed.

If you're passionate about frontend platform work, enjoy making an entire engineering organization faster and more effective, and are excited about the prospect of joining a dynamic and growing company, we'd love to hear from you!

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You'll shape the future of fal's inference engine and ensure our generative models achieve best-in-class performance. Your work directly impacts our ability to rapidly deliver cutting-edge creative solutions to users, from individual creators to global brands.

Day-to-day, you'll set technical direction, guide your team to build high-performance inference solutions, and personally contribute to critical inference performance enhancements and optimizations. You'll collaborate closely with research & applied ML teams, influence model inference strategies and deployment techniques, and drive advanced performance optimizations.

As a leader, you'll mentor and scale your team, coach and expand your team of performance-focused engineers, and help them innovate, solve complex performance challenges, and level up their skills.

To succeed in this role, you'll need to be deeply experienced in ML performance optimization, understand the full ML performance stack, and know inference inside-out. You'll also need to thrive in cross-functional collaboration and have excellent leadership skills.

If you're ready to lead the future of inference performance at a fast-paced, high-growth frontier, apply now!

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As a Tax Associate at Carta, you will assist in delivering tax returns and supporting the delivery process. Your clients are the most talented venture capitalists, fund managers, and dealmakers in the world.

Responsibilities

• Assist with tax return processing, including e-filing and mailing of federal and state filings, as applicable.
• Scan and file federal and state notices as received and maintain notice tracker.
• Assist with routing tax-related client inquiries to the relevant federal, state, or international tax team members.
• Collect and validate relevant tax records and financial data via proprietary Carta Tax software to facilitate the preparations and reviews of tax returns.
• Support special projects on an ad-hoc basis.
• Provide administrative support to tax team leaders.

Requirements

• Must have experience supporting the preparation and filing of tax returns and IRS e-filings.
• High attention to detail: written and quantitative.
• Organized and calm under pressure, you are able to manage competing demands on your time, whilst persevering to solve ambiguous problems.
• You're interested in working on projects in a fast-paced environment with a supportive team and as an individual.
• You have experience leveraging technologies to automate processes and gain efficiencies.
• You have strong critical thinking, problem-solving, and decision-making skills.
• You take pride in your ability to communicate effectively and are able to multitask to meet multiple deadlines.

Compensation

Carta's compensation package includes a market-competitive salary, equity for all full-time roles, exceptional benefits, and, for applicable roles, commissions plans. Our expected cash compensation (salary + commission if applicable) range for this role is: $74,290.00 - $87,400.00 in Seattle, WA.

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The International Trade Compliance team is responsible for providing strategic, high-level trade compliance advice and guidance to internal business and engineering teams as well as owning day-to-day tactical execution.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

In this role, you will be responsible for driving international trade controls and policies to protect and guide the development of commercial dual-use and defence technology across the APAC region, as an expert in applicable US and non-US export control laws and regulations.

The role will be a key interface between engineering, program management, compliance, and senior leadership to ensure that product teams are in line with engineering goals and compliance frameworks.

This person will be responsible for designing and managing controls plans for commercial dual-use and defence platforms across the region and ensuring compliance with U.S. and global export control regulations.

You will provide strategic guidance and regulatory expertise, achieving positive outcomes supporting Anduril's global growth objectives.

Key Responsibilities:

• Design and implement trade compliance policies, protections, and infrastructure to ensure engineering/program development meets schedule objectives, consistent with ITAR, EAR, and local country laws/regulations of EU, UK, or Australia.

• Coordinate with external partners (e.g., customers, suppliers, in-region government agencies, etc.) to ensure product roadmaps align with internal compliance posture and pivot accordingly.

• Develop country-specific classification decision rationale, heuristics and methodology for Anduril programs to improve efficiency in classification while maintaining accuracy.

• Leverage AI for rapid risk-mitigated determinations.

• Support the release of technology and data to internal and external stakeholders.

• Deploy and maintain country-specific J/C training curricula and robust methodologies to meet cost and performance metrics.

• Apply for and manage country-specific export authorizations, when required.

• Oversee country-specific export authorizations, ensuring compliance with license scope, provisos and associated conditions.

• Support the logistics team on hardware exports and imports as appropriate.

• Provide guidance and training to Anduril regional teams on ITAR, EAR and country-specific regulations as appropriate.

• Perform compliance assessments, identifying and mitigating compliance risks, of export/import authorizations and related transactions and assist in any investigations of potential compliance issues.

• Lead working groups, independent projects, and collaborative efforts with within the compliance function or cross-functionally driving ITC program enhancements.

• Support and implement corrective actions that result from compliance issues.

• Navigate co-production, co-development, and offset projects across multiple countries, ensuring compliance with US export regulations and country-specific trade laws.

• Manage Defence export portal for license applications, tracking, and reporting (RR).

• Evaluate and review commodities, including hardware, software, and technical data, for export license eligibility under AUKUS and other international trade control frameworks.

• Communicate and collaborate with regulators and outside counsel to address export compliance matters.

• Stay updated on regulatory changes and export compliance requirements, providing timely insights and guidance to leadership.

• Provide guidance on the use of collaborative environments for sharing technical information across borders.

Requirements:

• Ability to travel +25%

• Understanding of engineering concepts across software and hardware and development principles to be able to craft policies and procedures to segregate commercial and export controlled technology development

• Strong understanding of the U.S. and non-U.S. export regulations, including relevant classifications pertaining to aerospace parts, electronics, computers, IT equipment, encryption technology, and navigational hardware, etc.

• +10 years experience in product development, defence technology, startups, defence contracting or similar

• +5 years experience in trade compliance, international trade controls, international contracts management

• A superpower for smashing through regulatory roadblocks

• Ability to obtain and maintain a NV2 Security Clearance

Preferred Qualifications:

• Experience with AUKUS partnership frameworks, including export compliance, license management, and cross-border collaboration requirements

• Experience with customs and import filings, including managing Free Trade Agreements (FTAs), temporary imports, and processing ATA Carnets for duty-free and tax-free international transactions

• Experience in group 3-5 UAS, UUVs, or robotic systems product development or concepts

• Experience working with or supporting government contracts

• Experience in managing development infrastructure and training technical teams

• Experience designing and implementing technology control plans

• An understanding of the distinctives and intersection of Lean Product and Process Development, Agile Software Development, and Lean Production

• Knowledge of exportability considerations and experience incorporating export control compliance into product development plans

• Understanding of Missile Technology Control Regime (MTCR) guidelines

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As a Tax Associate at Carta, you will assist in delivering tax returns and supporting the delivery process. Your clients are the most talented venture capitalists, fund managers and dealmakers in the world. You will help them realise their ambitions of supporting the companies of tomorrow through our next-gen investment stack (including legals, vehicle formation, banking, investor onboarding and much more).

Responsibilities

• Assist with tax return processing including e-filing and mailing of federal and state filings, as applicable.
• Scan and file federal and state notices as received and maintain notice tracker.
• Assist with routing tax-related client inquiries to the relevant federal, state or international tax team members.
• Collect and validate relevant tax records and financial data via proprietary Carta Tax software to facilitate the preparations and reviews of tax returns.
• Support special projects on an ad-hoc basis.
• Provide administrative support to tax team leaders.

Requirements

• Must have experience supporting the preparation and filing of tax returns and IRS e-filings.
• High attention to detail: written and quantitative.
• Organized and calm under pressure, you are able to manage competing demands on your time, whilst persevering to solve ambiguous problems.
• You're interested in working on projects in a fast-paced environment with a supportive team and as an individual.
• You have experience leveraging technologies to automate processes and gain efficiencies.
• You have strong critical thinking, problem solving, and decision making skills.
• You take pride in your ability to communicate effectively and are able to multitask to meet multiple deadlines.

Benefits

• Collaborate with our wider Carta accounting, fund administration and compliance teams on relevant tax issues that relate to Carta's products and services.
• Excited to work on wider team projects which are not directly tax-related (e.g. legal, financial) as well as interacting with clients on administering their investment structures.

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This role requires 6+ years of experience in a corporate tax environment, preferably in industry and/or Big 4. You should have experience with ASC 740 for technology, SaaS and/or pre-IPO companies, and be able to clearly communicate complex tax concepts to non-tax stakeholders. You should also have experience with integrating technology into daily tax operations and be able to operate independently while maintaining alignment with broader tax strategy.

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In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

• Own the end-to-end enforcement strategy against unauthorized frontier model abuse , from detection signal development through enforcement action and post-enforcement measurement
• Operationalize detection and review pipelines , translating leads from case investigations and detection outputs into structured review workflows that scale across surfaces
• Drive enforcement actions for high-priority actors , synthesizing signals from across intelligence, detection, and review into enforcement packages suitable for formal escalation
• Partner with Legal and Policy to assess case strength, characterize ToS and IP violations, and support enforcement escalations through formal channels
• Close the loop between enforcement outcomes and upstream improvements , channeling review results and enforcement findings back to policy updates and detection refinements
• Develop and maintain a dynamic enforcement framework that accounts for the complexity of cross-surface enforcement , including varied escalation paths, partner coordination, and enforcement consistency across surfaces
• Collaborate with Threat Intelligence, Research, Engineering, and Policy partners to ensure detection coverage keeps pace with evolving frontier abuse tactics
• Maintain rigorous documentation of enforcement decisions, pipeline logic, and precedents to build institutional knowledge

Qualifications:

• 5+ years of experience in trust & safety, abuse enforcement, fraud investigation, policy, or a related field , with demonstrated ownership of complex, high-stakes enforcement programs
• Track record of building detection and enforcement approaches for novel or emerging abuse vectors where established playbooks don't exist
• Experience supporting or directly contributing to formal enforcement actions , including case documentation, evidence packaging, and escalation coordination
• Strong data analysis skills , comfortable navigating complex, multi-table datasets to surface behavioral patterns and support investigations
• Experience conducting structured investigations, including open-source intelligence techniques and cross-referencing external data sources to attribute activity
• Demonstrated ability to translate ambiguous policy questions into defensible enforcement decisions and clear written findings
• Strong written and verbal communication skills , able to present complex enforcement cases clearly to stakeholders across Legal, Policy, and Engineering

Preferred qualifications include familiarity with the AI/ML ecosystem, experience conducting threat actor profiling or open-source investigations, and experience working with generative AI products.

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Key responsibilities include:

• Leading the design, implementation, benchmarking, and maintenance of core compute kernels optimized for various hardware backends (GPU, accelerators)
• Driving the performance roadmap for kernel-level improvements: vectorization, tensorization, tiling, fusion, mixed precision, sparsity, quantization, memory reuse, scheduling, auto-tuning, etc.
• Integrating kernel optimizations with higher-level ML systems
• Building and maintaining profiling, instrumentation, and verification tooling to detect correctness, performance regressions, numerical issues, and hardware utilization gaps
• Leading performance investigations and root-cause analysis on inference bottlenecks, e.g. memory bandwidth, cache contention, kernel launch overhead, tensor fragmentation
• Establishing coding patterns, abstractions, and frameworks to modularize kernels for reuse, cross-backend portability, and maintainability
• Influencing system architecture decisions to make kernel improvements more effective (e.g. memory layout, dataflow scheduling, kernel fusion boundaries)
• Mentoring and guiding other engineers working on lower-level performance, providing code reviews, and helping set best practices
• Collaborating with infrastructure, tooling, and ML teams to roll out kernel-level optimizations into production, and monitoring their impact

Requirements include:

• BS/MS/PhD in Computer Science, or a related field
• Deep hands-on experience writing and tuning compute kernels (CUDA, Triton, OpenCL, LLVM IR, assembly or similar sort) for ML workloads
• Strong knowledge of GPU/accelerator architecture: warp structure, memory hierarchy (global, shared, register, L1/L2 caches), tensor cores, scheduling, SM occupancy, etc.
• Experience with advanced optimization techniques: tiling, blocking, software pipelining, vectorization, fusion, loop transformations, auto-tuning
• Familiarity with ML-specific kernel libraries (cuBLAS, cuDNN, CUTLASS, oneDNN, etc.) or open kernels
• Strong debugging and profiling skills (Nsight, NVProf, perf, vtune, custom instrumentation)
• Experience reasoning about numerical stability, mixed precision, quantization, and error propagation
• Experience in integrating optimized kernels into real-world ML inference systems; exposure to distributed inference pipelines, memory management, and runtime systems
• Experience building high-performance products leveraging GPU acceleration
• Excellent communication and leadership skills , able to drive design discussions, mentor colleagues, and make trade-offs visible
• A track record of shipping performance-critical, high-quality production software
• Bonus: published in systems/ML performance venues (e.g. MLSys, ASPLOS, ISCA, PPoPP), experience with custom accelerators or FPGA, experience with sparsity or model compression techniques

The pay range for this role is $190,900-$232,800 USD per year, depending on location and experience.

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The International Trade Compliance team is responsible for providing strategic, high-level trade compliance advice and guidance to internal business and engineering teams as well as owning day-to-day tactical execution.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

In this role, you will be responsible for driving international trade controls and policies to protect and guide the development of commercial dual-use and defence technology across the APAC region, as an expert in applicable US and non-US export control laws and regulations.

The role will be a key interface between engineering, program management, compliance, and senior leadership to ensure that product teams are in line with engineering goals and compliance frameworks.

This person will be responsible for designing and managing controls plans for commercial dual-use and defence platforms across the region and ensuring compliance with U.S. and global export control regulations.

You will provide strategic guidance and regulatory expertise, achieving positive outcomes supporting Anduril’s global growth objectives.

Key Responsibilities:

• Design and implement trade compliance policies, protections, and infrastructure to ensure engineering/program development meets schedule objectives, consistent with ITAR, EAR, and local country laws/regulations of EU, UK, or Australia.

• Coordinate with external partners (e.g., customers, suppliers, in-region government agencies, etc.) to ensure product roadmaps align with internal compliance posture and pivot accordingly.

• Develop country-specific classification decision rationale, heuristics and methodology for Anduril programs to improve efficiency in classification while maintaining accuracy.

• Leverage AI for rapid risk-mitigated determinations.

• Support the release of technology and data to internal and external stakeholders.

• Deploy and maintain country-specific J/C training curricula and robust methodologies to meet cost and performance metrics.

• Apply for and manage country-specific export authorizations, when required.

• Oversee country-specific export authorizations, ensuring compliance with license scope, provisos and associated conditions.

• Support the logistics team on hardware exports and imports as appropriate.

• Provide guidance and training to Anduril regional teams on ITAR, EAR and country-specific regulations as appropriate.

• Perform compliance assessments, identifying and mitigating compliance risks, of export/import authorizations and related transactions and assist in any investigations of potential compliance issues.

• Lead working groups, independent projects, and collaborative efforts with within the compliance function or cross-functionally driving ITC program enhancements.

• Support and implement corrective actions that result from compliance issues.

• Navigate co-production, co-development, and offset projects across multiple countries, ensuring compliance with US export regulations and country-specific trade laws.

• Manage Defence export portal for license applications, tracking, and reporting (RR).

• Evaluate and review commodities, including hardware, software, and technical data, for export license eligibility under AUKUS and other international trade control frameworks.

• Communicate and collaborate with regulators and outside counsel to address export compliance matters.

• Stay updated on regulatory changes and export compliance requirements, providing timely insights and guidance to leadership.

• Provide guidance on the use of collaborative environments for sharing technical information across borders.

Requirements:

• Ability to travel +25%

• Understanding of engineering concepts across software and hardware and development principles to be able to craft policies and procedures to segregate commercial and export controlled technology development

• Strong understanding of the U.S. and non-U.S. export regulations, including relevant classifications pertaining to aerospace parts, electronics, computers, IT equipment, encryption technology, and navigational hardware, etc.

• +10 years experience in product development, defence technology, startups, defence contracting or similar

• +5 years experience in trade compliance, international trade controls, international contracts management

• A superpower for smashing through regulatory roadblocks

• Ability to obtain and maintain a NV2 Security Clearance

Preferred Qualifications:

• Experience with AUKUS partnership frameworks, including export compliance, license management, and cross-border collaboration requirements

• Experience with customs and import filings, including managing Free Trade Agreements (FTAs), temporary imports, and processing ATA Carnets for duty-free and tax-free international transactions

• Experience in group 3-5 UAS, UUVs, or robotic systems product development or concepts

• Experience working with or supporting government contracts

• Experience in managing development infrastructure and training technical teams

• Experience designing and implementing technology control plans

• An understanding of the distinctives and intersection of Lean Product and Process Development, Agile Software Development, and Lean Production

• Knowledge of exportability considerations and experience incorporating export control compliance into product development plans

• Understanding of Missile Technology Control Regime (MTCR) guidelines

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Key Responsibilities:

• Design, implement, and own microservices and REST/GraphQL APIs in Node.js/TypeScript (NestJS preferred)
• Translate product requirements into technical designs; break down work, estimate, and deliver incrementally
• Model data and optimize queries in MongoDB; implement effective caching with Redis (TTL, eviction, hot-key mitigation)
• Ship production-ready code with unit/integration tests; participate in on-call, incident response, and postmortems
• Containerize and deploy via Docker/Kubernetes; automate builds and releases with CI/CD (blue/green or canary)
• Instrument services for logs, metrics, and traces (p95/p99); continuously improve latency, reliability, and cost
• Review code, document designs, and mentor SE II/III engineers; contribute to shared standards and best practices

Requirements:

• 7+ years of software engineering experience, including 3+ years building backend services in Node.js/TypeScript
• Strong API fundamentals: versioning, pagination, authN/Z (OAuth/OIDC), and secure coding (OWASP)
• Hands-on with NestJS/Express/Fastify; familiarity with microservices patterns and event-driven workflows
• MongoDB expertise (schema design, indexing, basic sharding concepts) and Redis caching patterns
• Cloud experience on GCP (preferred) or AWS; Docker; working knowledge of Kubernetes; CI/CD with GitHub Actions/Jenkins/GitLab
• Observability skills: Datadog/OpenTelemetry/Prometheus/Grafana; confident debugging in production

Nice to Have:

• Kafka or Pub/Sub; API Gateway/Ingress; feature flags; rate limiting and quotas
• Terraform/Helm; security tooling (SonarQube), dependency hygiene, secret management
• Performance profiling, load testing, and practical cost optimization

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Your responsibilities will include:

• Utilizing proprietary software to provide accurate input and labels for tax law projects, ensuring high-quality data for AI model training.
• Delivering curated, high-quality data for tax law scenarios involving complex structures for clients, including trust and estate taxation documents, charitable gifting strategies and agreements, private foundation formation and compliance materials, tax opinions on diverse assets (real estate, private equity, art, cryptocurrency, and alternative investments), wealth transfer planning (GRATs, IDGTs, dynasty trusts), and substantial estate and gift tax filings.
• Collaborating with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assisting in designing and improving efficient annotation tools tailored for tax law and wealth planning documentation.
• Selecting and analyzing complex problems in tax law fields aligned with your expertise to enhance AI model performance.
• Interpreting, analyzing, and executing tasks based on evolving instructions, maintaining precision and adaptability.

To be successful in this role, you will need:

• A Juris Doctor (J.D.) degree and active admission to a state bar.
• Professional experience at a top-tier white-shoe law firm and/or a leading boutique tax firm.
• Direct experience in sophisticated tax law work, including drafting and reviewing trust and estate planning documents, private foundation materials, charitable gifting strategies, complex wealth transfer structures, and tax opinions on diverse asset classes.
• Strong understanding of federal and state income taxation, estate and gift taxation, private client services, and regulatory compliance in high-wealth scenarios.
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in legal practice.

Preferred qualifications include extensive transactional experience in wealth transfer taxation, trust and estate planning, private foundations, or charitable giving strategies at a white-shoe or boutique tax firm, proven track record handling tax implications of complex asset portfolios and substantial wealth transfers, experience reviewing tax opinions, foundation compliance filings, and planning documents for accuracy, completeness, and regulatory compliance, comfort with recording audio or video sessions for data collection, and familiarity with AI or data annotation workflows in a technical setting.

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We're seeking a Senior Data Systems Analyst to become the expert on our company data pipeline,the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies. In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure.

As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving. This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure,maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute,you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth.

As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture,how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect

• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system

• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact

• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions

• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality

• Translate data quality investigations and emerging requirements into system-level improvement opportunities

• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving,such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges

• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving

• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts

• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes

• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team

• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field

• 5+ years of experience in data analytics, data engineering, or related technical roles

• Experience working with data pipelines, ETL systems, or data processing infrastructure,you understand how data moves through systems and what can go wrong

• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility

• Strong programming skills in Python and SQL for data analysis and manipulation

• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis

• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs

• Strong analytical skills with ability to investigate complex issues systematically

• Excellent communication skills,able to explain technical concepts clearly to diverse audiences

• Self-directed with strong ownership mentality,you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives

• Experience with data profiling, entity resolution, record linkage, or data matching systems

• Background contribution

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You will be a member of the user well-being team, and your initial focus will be on standing up detection, review, and escalation workflows for this domain , from tuning classifiers and curating evaluation datasets through to managing external partnerships and real-world harm escalation pathways.

This position may later expand to include broader areas of user well-being enforcement. Safety is core to our mission, and you'll help shape policy enforcement so that our users can interact with and build on top of our products across all surfaces in a harmless, helpful, and honest way.

In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

• Design and architect automated enforcement systems and review workflows for human exploitation and abuse, ensuring they scale effectively while maintaining high accuracy

• Partner with Product, Engineering, and Data Science teams to build and tune detection signals for human trafficking, sextortion, and image-based sexual abuse, and to develop custom mitigations for these sensitive policy areas

• Curate policy violation examples, maintain golden evaluation datasets, and track enforcement actions across both consumer and API surfaces

• Conduct deep-dive investigations into suspected exploitation activity , using SQL and other data analysis tools to surface threat patterns and bad-actor behavior in large datasets , then produce clear, well-sourced intelligence reports that inform detection strategy and surface policy gaps to the Safeguards policy design team

• Study trends internally and in the broader ecosystem , including evolving trafficking and sextortion tactics , to anticipate how AI systems could be misused for exploitation as capabilities advance

• Review and investigate flagged content to drive enforcement decisions and policy improvements, exercising careful judgment on the line between permitted adult content and exploitative material

• Build and maintain relationships with external intelligence partners , including hotlines, NGOs, and industry hash-sharing consortia , to inform our approach and enable appropriate real-world escalation

Requirements:

• 3+ years of experience in trust and safety, content moderation, counter-exploitation work, or a related field

• Subject matter expertise in one or more of: human trafficking, human exploitation and abuse, sextortion, image-based sexual abuse / non-consensual intimate imagery, or commercial sexual exploitation

• Experience building or operating detection and review workflows for sensitive content, at a platform, NGO, hotline, or similar organization

• Ability to use SQL, Python, and/or other data analysis tools to interact with large datasets and derive insights that support key decisions and recommendations

• Demonstrated ability to analyze complex situations and make well-reasoned decisions under pressure

• Sound judgment in distinguishing permitted content from exploitative content, and comfort working in areas where these lines require careful reasoning

• Strong attention to detail and ability to maintain accurate documentation

• Ability to collaborate with team members while navigating rapidly evolving priorities and workstreams

Preferred Qualifications:

• Familiarity with the NGO and industry ecosystem working on these harms (for example, Polaris Project, Thorn, NCMEC, IWF, StopNCII, or industry hash-sharing initiatives)

• Experience conducting open-source investigations or threat actor profiling in a trust & safety, intelligence, or law enforcement context

• Experience working with generative AI products, including writing effective prompts for content review and enforcement

• A deep interest in AI safety and responsible technology development

• Experience standing up real-world harm escalation pathways or working with law enforcement referral processes

Compensation:

The annual compensation range for this role is $245,000-$285,000 USD.

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The Staff Recruiter will partner with hiring managers, business leaders, and HR business partners to set and drive strategy, goals, process for their searches. The Staff Recruiter will also support all aspects of the search process ranging from preparation for client meetings, including market research and drafting specifications; developing search strategies; identifying, researching, and contacting prospective candidates; creating status reports and candidate assessments and leading weekly status calls on search progress.

Responsibilities:

• Oversee the research effort in partnership with our sourcers to map our markets and generate candidate names and target profiles for a high volume of searches
• Create robust search strategies that will attract the best and brightest candidates while ensuring our commitment to diversifying our global workforce
• Calibrate and fine-tune candidate profiles with hiring managers
• Gain trust of prospective candidates and develop them into active candidates
• Uphold DB’s hiring bar through rigorous screening, assessment, and reference checks
• Continually contribute to the knowledge base of the group by providing education on industries and market conditions
• Proactively build out talent networks across diverse functions/industries and tap knowledgeable industry sources to help develop a competitive advantage
• Lead client update meetings and leverage data to advance search progress

Requirements:

• Minimum of 8+ years of experience in a highly professional business environment
• 6+ years of Recruiting experience Recruiting for Corporate profiles from entry level to VP level candidates
• Proven track record of being scrappy and able to fulfill the searches in a timely manner
• Highly developed conceptual skills - able to synthesize information quickly, understand various industries and functions, and be able to present material in an organized, concise, and clear manner
• Highly organized, detail-oriented, and able to effectively prioritize projects and deliverables
• Experience managing a demanding workload, balancing multiple tasks, and switching gears while maintaining priorities
• Ability to work with a number of constituencies on simultaneous projects
• Personal and business maturity that leads to confident and rational business decisions
• Demonstrable initiative and resourcefulness
• Ability to develop well-planned strategies and achieve goals within tight timelines
• Experience using technology competently in a business setting

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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In this role, you will lead the architecture and development of performance profiling and instrumentation infrastructure, covering CPU, GPU, memory, request hot paths, utilization, and deployment events, making these capabilities available to all backend teams.

You will partner with infrastructure teams across compute, reliability, backend frameworks, and AI Infra to ensure the fleet operates at optimal utilization.

You will connect performance outcomes to business objectives and company-wide SLOs, and guide engineering teams in keeping the stack scalable and efficient.

You will evaluate emerging hardware and software technologies, engage with the external solutions ecosystem, and advise on build vs. buy decisions in areas of strategic importance.

As a mentor and technical leader, you will uplevel engineers across the organization through design reviews, architectural guidance, and performance best practices.

To be successful in this role, you will need to have 12+ years of performance engineering experience in high-scale, high-growth production environments.

You will need to have a deep understanding of how software and hardware systems interact at scale, including architectural patterns for performance-critical stacks.

You will need to have strong familiarity with public cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes).

You will need to have experience with profiling and instrumentation tooling across CPU, GPU, memory, and distributed request tracing.

You will need to have demonstrated ability to define performance objectives and drive delivery against company-wide SLOs across multiple organizations.

You will need to have strong communication and influence skills; comfortable driving technical direction with senior engineering and product leadership.

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Working at the intersection of hardware and software, you will implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack,from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization.

Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.

Responsibilities:

• Architect and implement foundational systems that power Claude
• Maximize GPU utilization and performance at unprecedented scale
• Develop cutting-edge optimizations that directly enable new model capabilities
• Dramatically improve inference efficiency
• Implement state-of-the-art techniques from custom kernel development to distributed system architectures
• Work at the intersection of hardware and software
• Span the entire stack,from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization

Requirements:

• Deep experience with GPU programming and optimization at scale
• Impact-driven, passionate about delivering measurable performance breakthroughs
• Ability to navigate complex systems from hardware interfaces to high-level ML frameworks
• Enjoy collaborative problem-solving and pair programming
• Want to work on state-of-the-art language models with real-world impact
• Care about the societal impacts of your work
• Thrive in ambiguous environments where you define the path forward

Nice to have:

• Experience with GPU Kernel Development: CUDA, Triton, CUTLASS, Flash Attention, tensor core optimization
• ML Compilers & Frameworks: PyTorch/JAX internals, torch.compile, XLA, custom operators
• Performance Engineering: Kernel fusion, memory bandwidth optimization, profiling with Nsight
• Distributed Systems: NCCL, NVLink, collective communication, model parallelism
• Low-Precision: INT8/FP8 quantization, mixed-precision techniques
• Production Systems: Large-scale training infrastructure, fault tolerance, cluster orchestration

Representative projects:

• Co-design attention mechanisms and algorithms for next-generation hardware architectures
• Develop custom kernels for emerging quantization formats and mixed-precision techniques
• Design distributed communication strategies for multi-node GPU clusters
• Optimize end-to-end training and inference pipelines for frontier language models
• Build performance modeling frameworks to predict and optimize GPU utilization
• Implement kernel fusion strategies to minimize memory bandwidth bottlenecks
• Create resilient systems for planet-scale distributed training infrastructure
• Profile and eliminate performance bottlenecks in production serving infrastructure
• Partner with hardware vendors to influence future accelerator capabilities and software stacks

Note: The salary range for this position is $280,000-$850,000 USD per year.

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As a software engineer on the Data Platform team, you will design, build, and operate the distributed systems powering X's data movement and compute. You will take ownership of infrastructure components that process trillions of events daily, driving the scalability, performance, and reliability of the systems that power product and ML workloads across the company.

Responsibilities

• Design and implement high-throughput, low-latency data ingestion and transport systems.
• Scale and optimize multi-tenant Kafka infrastructure supporting real-time workloads.
• Extend and tune Spark, Flink, and Trino for demanding production pipelines.
• Build interfaces, APIs, and pipelines enabling teams to query, process, and move data at petabyte scale.
• Debug and optimize distributed systems, with a focus on reliability and performance under load.
• Collaborate with ML, product, and infrastructure teams to unblock critical data workflows.

Basic Qualifications

• Proven expertise in distributed systems, stream processing, or large-scale data platforms.
• Proficiency in Rust, Go, Scala or similar systems languages.
• Hands-on experience with Kafka, Flink, Spark, Trino, or Hadoop in production.
• Strong debugging, profiling, and performance optimization skills.
• Track record of shipping and maintaining critical infrastructure.
• Comfortable working in fast-moving, high-stakes environments with minimal guardrails.

Compensation and Benefits

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at X, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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You will collaborate closely with technical teams to support the development and refinement of new AI capabilities, with a primary focus on quantitative financial risk management domains. Your expertise will drive the selection and rigorous resolution of complex risk-related problems, including market risk modeling, credit and counterparty risk, liquidity and funding risk, operational and model risk, stress testing & scenario analysis, Value at Risk (VaR)/Expected Shortfall (ES), risk attribution, capital allocation (economic/regulatory), and enterprise-wide risk frameworks under regulatory regimes (Basel, Dodd-Frank, IFRS 9, etc.).

This role requires exceptional quantitative rigor, rapid adaptation to evolving guidelines, and the ability to deliver precise, technically sound critiques, derivations, and solutions in a fast-paced environment. As a Finance Risk Expert, you will directly support xAI's mission by helping train and refine frontier AI models. You will teach the models how risk professionals quantify uncertainties, model tail events, assess portfolio vulnerabilities, ensure regulatory compliance, perform stress testing, and make data-driven decisions to protect capital and maintain financial stability.

Your tasks may include recording audio walkthroughs of risk models, participating in video-based scenario reasoning, or producing detailed quantitative risk analysis traces. All outputs are considered work-for-hire and owned by xAI.

Responsibilities:

• Use proprietary annotation and evaluation software to deliver accurate labels, rankings, critiques, and comprehensive solutions on assigned projects
• Consistently produce high-quality, curated data that adheres to strict quantitative and regulatory standards
• Collaborate with engineers and researchers to develop and iterate on new training tasks, risk-specific benchmarks, and evaluation frameworks
• Provide constructive feedback to improve the efficiency, precision, and usability of annotation and data-collection tools
• Select and solve challenging problems from financial risk domains where you have deep expertise

Basic Qualifications:

• Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Econometrics, Risk Management, Operations Research, Physics, Computer Science (with risk/finance focus), or closely related field or equivalent professional experience as a quantitative risk analyst, risk modeler, or risk quant
• Excellent written and verbal English communication (technical reports, regulatory documentation, explanatory breakdowns)
• Strong familiarity with financial risk data sources and platforms (Bloomberg, Refinitiv, Moody’s Analytics, S&P Capital IQ, RiskMetrics, internal bank risk systems, regulatory filings, Basel/FRB datasets, etc.)
• Exceptional analytical reasoning, attention to detail, and ability to exercise sound judgment with incomplete or ambiguous data

Preferred Skills and Experience:

• Professional experience in quantitative risk management, model development/validation, or risk analytics at a bank, hedge fund, asset manager, insurance company, regulator, or consulting firm
• Track record of publication(s) or contributions in refereed journals/conferences on risk, econometrics, statistics, or quantitative finance
• Prior teaching, mentoring, or training experience (university, industry workshops, regulatory training)
• Proficiency in Python/R for risk modeling (pandas, NumPy, SciPy, statsmodels, QuantLib, PyTorch/TensorFlow for ML risk models, etc.) and familiarity with risk systems (Murex, Calypso, Numerix, etc.)
• Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk (anomaly detection, credit scoring, etc.)
• Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7 model risk guidance, IFRS 9/CECL, Solvency II)
• CFA, FRM, PRM, CQF, or similar risk-focused certifications
• Previous exposure to large language models, AI safety, or quantitative evaluation pipelines

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time
• We are unable to provide visa sponsorship
• For those who will be working from a personal device, your computer must meet xAI’s minimum hardware requirements

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Responsibilities: Conduct all-source intelligence collection and analysis to identify, assess, and prioritize geopolitical risks and nation-state threats to Anthropic, its personnel, and its operations Produce clear, well-sourced analytical products, from quick-turn situational updates to in-depth strategic assessments and country risk profiles, for executive and cross-functional delivery Work cross-functionally to integrate geopolitical context into enterprise risk decisions, regulatory strategy, and incident response Conduct horizon scanning for emerging geopolitical flashpoints, policy shifts, and macro-trends that could impact Anthropic's operations or strategic positioning Support event security and corporate strategy by providing geopolitical context for international conferences, government engagements, and multilateral forums where Anthropic participates Conduct country and regional risk assessments to inform decisions on employee travel, international expansion, facility siting, and partnership due diligence Build and maintain relationships with external intelligence partners, government contacts, and industry peers to facilitate information sharing on geopolitical threats to frontier AI companies

Requirements: Hold a bachelor's degree or higher in international relations, political science, security studies, regional studies, intelligence studies, or a related field Have 5-8 years of experience in geopolitical analysis, political risk, intelligence analysis, or a related domain Experience in all-source intelligence analysis, including proficiency with structured analytic techniques, commercial intelligence platforms, and OSINT methodology Ability to effectively tailor complex geopolitical analysis for various stakeholders, from technical security teams to senior leadership and board-level audiences Demonstrated ability to operate independently with minimal oversight while managing multiple analytical lines of effort simultaneously Are comfortable with a flexible schedule, including on-call availability during international crises and breaking geopolitical events

Preferred qualifications: Background in high-growth technology companies, particularly those with significant geopolitical exposure Professional certifications, IC credentials, or advanced degrees in relevant fields Specialized knowledge of risks unique to the AI sector

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This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. As a Quantitative Finance Expert, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. Quantitative Finance Experts teach our AI models about how people interact and react, as well as how people approach issues and discussions in quantitative finance. To accomplish this, Quantitative Finance Experts will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from quantitative finance fields that align with your expertise, focusing on areas like portfolio optimization, derivatives pricing, or high-frequency trading backtests, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Must possess a Master's or PhD in a quantitative finance-related field (Quantitative Finance, Financial Engineering, Financial Mathematics, Applied Mathematics, Statistics, Economics with quantitative focus, or related disciplines) or equivalent professional experience as a quantitative trader or analyst.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various financial information resources, databases, and online resources (e.g., Bloomberg, Reuters, SEC filings).
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.
• Strong passion for and commitment to technological advancements and innovation in quantitative finance.

Preferred Skills and Experience:

• Professional experience as a quantitative trader or analyst.
• Possesses experience with at least one publication in a reputable finance or economics journal or outlet.
• Teaching experience as a professor
• Familiarity with Python/R for financial scripting or ML libraries (e.g., QuantLib)
• FRM (Financial Risk Manager)
• CQF (Certificate in Quantitative Finance)
• PRM (Professional Risk Manager)
• CAIA (Chartered Alternative Investment Analyst)
• CFA (Chartered Financial Analyst)

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Your responsibilities will include evaluating and refining AI-generated code, ensuring it adheres to industry standards for efficiency, scalability, and reliability. You will also collaborate with cross-functional teams to enhance AI-driven coding solutions, ensuring they meet enterprise-level quality and performance benchmarks.

To succeed in this role, you will need professional software engineering experience building scalable, high-performance applications. You should have deep expertise in one or more programming languages, strong proficiency in relevant frameworks and libraries, and a solid understanding of software design principles, performance optimization, and best practices.

As a detail-oriented and adaptable individual, you will thrive in a fast-paced work environment and possess strong logical reasoning skills. Experience integrating analytics, monitoring, and security best practices relevant to your technical domain is a plus. Containerization technologies, such as Docker, and knowledge of complementary technologies, such as backend systems, APIs, databases, and authentication, are also desirable.

This role may be offered as a full-time, part-time, or contractor position, depending on role needs and candidate fit. As a contractor, you will have the flexibility to set your own hours and determine the exact amount of time needed to complete deliverables. You will be working remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

US-based candidates will be compensated between $60/hour and $100/hour, depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates will receive information during the recruitment process.

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In this role, you will leverage your expertise in complex tax structuring, wealth transfer taxation, trust and estate planning, charitable gifting strategies, private foundations, and the tax implications of diverse assets to support the training of advanced AI systems.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world tax analysis, sophisticated planning documentation, and high-stakes wealth transfer dynamics.

This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for tax law projects, ensuring high-quality data for AI model training.

• Deliver curated, high-quality data for tax law scenarios involving complex structures for clients, including trust and estate taxation documents, charitable gifting strategies and agreements, private foundation formation and compliance materials, tax opinions on diverse assets (real estate, private equity, art, cryptocurrency, and alternative investments), wealth transfer planning (GRATs, IDGTs, dynasty trusts), and substantial estate and gift tax filings.

• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.

• Assist in designing and improving efficient annotation tools tailored for tax law and wealth planning documentation.

• Select and analyze complex problems in tax law fields aligned with your expertise to enhance AI model performance.

• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Required Qualifications:

• Juris Doctor (J.D.) degree and active admission to a state bar.

• Professional experience at a top-tier white-shoe law firm and/or a leading boutique tax firm.

• Direct experience in sophisticated tax law work, including drafting and reviewing trust and estate planning documents, private foundation materials, charitable gifting strategies, complex wealth transfer structures, and tax opinions on diverse asset classes.

• Strong understanding of federal and state income taxation, estate and gift taxation, private client services, and regulatory compliance in high-wealth scenarios.

• Proficiency in reading and writing informal and professional English.

• Strong communication, interpersonal, analytical, and organizational skills.

• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.

• Passion for technological advancements and innovation in legal practice.

Preferred Qualifications:

• Extensive transactional experience in wealth transfer taxation, trust and estate planning, private foundations, or charitable giving strategies at a white-shoe or boutique tax firm.

• Proven track record handling tax implications of complex asset portfolios and substantial wealth transfers.

• Experience reviewing tax opinions, foundation compliance filings, and planning documents for accuracy, completeness, and regulatory compliance.

• Comfort with recording audio or video sessions for data collection.

• Familiarity with AI or data annotation workflows in a technical setting.

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About this role:

As a Paralegal at Waymark, you will play a vital role in helping Waymark navigate the intersection of law and healthcare technology, ensuring our operations are compliant and efficient, enabling Waymark to transform care to patients with Medicaid benefits. Reporting to the General Counsel, you will help scale our legal infrastructure, becoming a go-to resource for internal teams on routine legal matters and process improvements.

Key Responsibilities:

• Own responsibility for Waymark’s corporate filings, monitor business licensing, patents, trademarks, and registrations; and maintain corporate records
• Maintain, organise and update legal and compliance related documents, templates, policies and procedures
• Operate and implement an agile legal intake process to manage legal requests that reduces friction for internal stakeholders
• Play a role in reviewing vendor contracts, and updating and maintaining contract management system
• Work cross-functionally with other departments to resolve issues and complete substantive tasks with moderate guidance.
• Conduct state and federal regulatory research to support our Medicaid business, develop processes to collect necessary paperwork to ensure compliance, assist with reporting and ad-hoc projects as assigned.

Minimum Qualifications:

• 3+ years of work experience as a paralegal or legal assistant at a law firm or in house legal department.
• Own and drive projects forward independently, demonstrating a strong “get things done” attitude and high attention to detail.
• Exceptional written and verbal communication skills, with a focus on delivering practical solutions.
• Ability to utilise legal technology tools (e.g., GC AI, Lexion (preferred), or other contract management system, Carta).
• Proven ability to manage multiple priorities and deadlines and thrive in a fast-paced environment.
• A strong value for teamwork and the ability to work effectively with diverse teams and perspectives.
• Proficient with healthcare regulatory laws.

Preferred Qualifications:

• Ability to work across a range of legal matters, transactional, regulatory, and compliance.
• Experience in a startup environment.
• Advanced proficiency in automating legal workflows.

Hourly Rate Range:

US Employees in San Francisco/Bay Area: $38.80 - $44.00/hour US Employees in Boston, Los Angeles, Seattle, Washington DC: $35.70 - $40.50/hour US Employees in Arlington, Denver, San Diego, Sacramento: $34.10 - $38.70/hour US Employees in Albany, Atlanta, Austin, Baltimore, Central/Southern Virginia, Charlotte, Chicago, Dallas/Fort Worth, Detroit, Houston, Las Vegas, Miami, Milwaukee, Philadelphia, Portland, Research Triangle, Salt Lake City, Twin Cities: $31.00 - $35.20/hour US Employees in Baton Rouge, Birmingham, Charleston, Cincinnati, Cleveland, Daytona Beach, Indianapolis, Nashville, New Orleans, Omaha, Phoenix, Pittsburgh, St. Louis, Tampa: $30.10 - $34.15/hour

In addition to salary, we offer a comprehensive benefits package. Here’s what you can expect:

• Stock Options: Opportunity to invest in the company’s growth.
• Work-from-Home Stipend: A dedicated stipend for your first year to help set up your home office.
• Medical, Vision, and Dental Coverage: Comprehensive plans to keep you and your family healthy.
• Life Insurance: Basic life insurance to give you peace of mind.
• Paid Time Off: 20 vacation days, accrued over the year, plus 11 paid holidays.
• Parental Leave: 16 weeks of paid leave for birthing parents after six months of employment, and 8 weeks of bonding leave for non-birthing parents.
• Retirement Savings: Access to a 401(k) plan with a company contribution, subject to a vesting schedule.
• Commuter Benefits: Convenient options to support your commute needs.
• Professional Development Stipend: A dedicated stipend supports professional development and growth.

Offer of employment is contingent upon successful completion of a background check.

Don’t check off every box in the requirements listed above? Please apply anyway! Studies have shown that some of us may be less likely to apply to jobs unless we meet every single qualification. Waymark is dedicated to building a supportive, equal opportunity, and accessible workplace that fosters a sense of belonging – so if you’re excited about this role but your past experience doesn’t align perfectly with every preferred qualification in the job description, we encourage you to still consider submitting an application. You may be just the right candidate for this role or another one of our openings!

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Responsibilities

• Develop models and infrastructure for the integrated simulation pipeline in C++.
• Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.
• Implement test scenarios and write unit, system, and regression tests.
• Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
• Contribute to platform-agnostic simulation tooling to accelerate future development efforts
• Perform verification and validation (V&V) analysis activities on model tools.
• Conduct system performance analysis and generate reports and visualizations.
• Utilize best practices in C++, simulation architecture, and performance engineering.

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You'll work on mission-critical software that bridges responsive user interfaces with robust backend systems, enabling human operators to plan, command, and monitor autonomous assets with precision and reliability.

Responsibilities:

• Design, develop, and optimize ground control software that enables low-latency communication with UAVs and other autonomous platforms.

• Build high-performance client and server applications that support telemetry processing, mission planning, and real-time control.

• Implement responsive user interfaces with React and TypeScript for operator workflows and visualization of spatial data, sensor feeds, and mission state.

• Collaborate closely with teams across autonomy, embedded systems, backend, and UX to deliver integrated, field-ready solutions.

• Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault-tolerance.

• Lead development efforts on key features or subsystems, from early design through deployment and iteration.

• Write high-quality, well-tested code and participate in peer design/code reviews.

Requirements:

• Senior: Bachelor's degree with 5+ years of relevant experience, or Masters with 4+ years, or PhD with 2+ years.

• Staff: Bachelor's degree with 7+ years of relevant experience, or Masters with 6+ years, or PhD with 4+ years.

• Senior Staff: Bachelor's degree with 10+ years of relevant experience, or Masters with 9+ years, or PhD with 7+ years.

• Demonstrated experience building real-time or performance-sensitive applications,preferably for UAVs, robotics, autonomous vehicles, or simulation environments.

• Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration.

• Experience with web technologies, especially React, TypeScript/JavaScript, and Node.js.

• Strong software engineering fundamentals including version control, testing, debugging, and performance profiling.

• Proven ability to deliver high-quality software as part of a collaborative engineering team.

Preferences:

• Experience with GCS software, mission planning tools, or real-time visualization platforms.

• Familiarity with API-driven systems using REST or gRPC, and communication protocols like WebSocket or custom telemetry formats.

• Knowledge of standards such as STANAG 4586, Cursor on Target (CoT), or MAVLink.

• Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD practices.

• Exposure to distributed systems and cloud integration for telemetry data pipelines.

• Understanding of security best practices in control systems and networked applications.

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At Mercury, we believe that experience should feel less like navigating bureaucracy and more like talking to a brilliant friend who understands your needs. Our customers put it better than we can: "I'm so happy I never have to touch HR software again." And: "10x better than our former stack." That's not just great software. That's great service, woven into the product itself.

We have a generational opportunity to reinvent how companies are operated. Central handles payroll, benefits, HR, compliance, government filings, and more , so founders can focus on the things that actually matter: curing brain cancer, making institutions more efficient, reducing our carbon footprint. As a Benefits Broker at Central, you'll be the human layer behind an extraordinary product , and a licensed broker who can actually close the deal. The software is powerful. You make it feel like magic.

Key Responsibilities:

• Guide customers through designing their benefits packages , helping them pick the right plans for their teams and their stage
• Own the end-to-end enrollment process: filling out and submitting insurance forms accurately and on time
• Keep our systems current with the right health insurance information so nothing downstream breaks
• Communicate proactively with customers to resolve issues before they become problems
• Build and refine the internal processes that ensure no enrollment ever gets missed
• Solve hard, ambiguous benefits problems , the ones that fall between carriers, platforms, and regulations
• Manage the client lifecycle at renewal, helping them choose options and running open enrollment at renewal

Requirements:

• An active Life & Health broker license
• Experience selling or administering small group benefits across multiple states, with a focus on SMBs and startups
• Exceptional detail orientation to help you build resilient systems and processes
• Deep customer empathy to default to what's actually best for the customer, not what's easiest for you
• Clear, direct communication and explain a complex benefits decision to a first-time founder in plain English
• Be in the top 5% of your peers, and the people who've worked with you would agree

Total Rewards Package:

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Salary and Equity Ranges:

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Target New Hire Base Salary Ranges:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $121,700 - $152,100
• US employees outside of the New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $109,500 - $136,900

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You will work closely with finance leadership and cross-functional partners to ensure our books are clean, processes are scalable, and financial reporting is reliable as the organization grows. This is a force-multiplier role with visibility across the business and the opportunity to grow into broader responsibilities over time.

Responsibilities

• Execute and continuously improve the monthly, quarterly, and annual close processes, ensuring accuracy, timeliness, and audit readiness.
• Maintain the general ledger in NetSuite, including journal entries, accruals, prepaids, and intercompany activity.
• Reconcile bank accounts, corporate cards, payroll, and other balance sheet accounts.

Day-to-Day Accounting & Systems

• Own accounts payable and receivable workflows, including vendor onboarding, invoice processing, and payment runs using tools like Ramp.
• Partner with payroll providers (e.g., ADP) to ensure accurate payroll, benefits, bonus, and equity-related accounting.
• Maintain clean subledgers and supporting schedules that tie directly to the GL.

Crypto-Native Accounting & Complexity

• Account for token activity, including transfers, incentives, and related expense recognition, ensuring alignment between on-chain activity and the general ledger.
• Support crypto-specific accounting workflows and reconciliations as the business evolves.
• Partner with external specialists as needed on digital asset accounting considerations.

Tax, Audit & Compliance Support

• Support corporate tax filings (U.S. and international) by preparing schedules, documentation, and reconciliations.
• Work with external tax, audit, and advisory firms to support annual audits, reviews, and special projects.
• Ensure accounting policies and procedures align with US GAAP and scale with the business.

Build for Scale

• Document accounting processes and controls, creating clarity and repeatability as the team grows.
• Identify gaps, inefficiencies, and risks , and proactively design better workflows and controls.
• Act as a trusted accounting partner to finance leadership and cross-functional teams.

Requirements

• 5–8+ years of experience in accounting, ideally with a mix of public accounting and in-house experience.
• Strong working knowledge of NetSuite and month-end close in a multi-entity environment.
• Hands-on experience with modern finance tools such as Ramp (or similar) and ADP (or similar payroll providers).
• Solid understanding of US GAAP, balance sheet accounting, and close best practices (CPA preferred, not required).
• Comfortable operating in high-growth, ambiguous environments where processes are built, not inherited.
• Detail-oriented, highly organized, and obsessed with accuracy , you close loops and don’t let issues linger.
• Clear communicator who can explain accounting concepts to non-finance stakeholders.

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Daylight is the decentralised energy company. We're building a protocol that converts distributed solar and storage systems into yield-bearing infrastructure. These assets are deployed behind the meter in American homes and businesses, generating electricity revenues that flow onchain as a single, liquid yield token.

Our team brings together energy and crypto veterans who believe in a future where communities power themselves. Backed by a16z, Framework, and other industry-leading investors, we're building the infrastructure to make that vision a reality.

The Role

As a Senior Software Engineer | Blockchain at Daylight, you'll play a crucial role in developing our Django APIs and backend services that support our mobile app and partner integrations as well as designing the interactions with our smart contracts onchain. You'll build functionality that helps homeowners monitor, control, and optimise their energy usage while participating in our decentralised energy network.

We're an early-stage startup, so this role goes beyond just writing code. You'll have significant input on architecture decisions, user experience, and product direction. As we scale, there will be opportunities to grow into a leadership or management position, mentoring junior developers and shaping our backend development strategy and onchain integrations.

This role is ideal for someone who is passionate about crypto and clean energy, values craftsmanship in their code, and thrives in dynamic startup environments where your work has a direct impact on the product's success and the company's mission.

Responsibilities

• Develop and maintain scalable API endpoints that support vendor/partner integrations

• Collaborate with cross-functional teams to define, design, and ship innovative features

• Continuously monitor performance and resolve bottlenecks and bugs across all endpoints

• Champion code quality, automation, and comprehensive testing practices

• Design and implement Solidity smart contracts that underpin Daylight's decentralised energy markets

• Develop Daylight's decentralised data storage and validation layer using modern frameworks (e.g. Commonware, Snapchain L3)

• Architect secure oracle flows to feed real-world energy data onchain

• Contribute to architecture planning and drive technical design decisions that ensure scalability and security

• Optimise the application stack for maximum speed and reliability

• Embrace CI/CD methodologies and infrastructure-as-code practices to streamline deployments

What we're looking for

• 5+ years of experience developing APIs and backend services
• 2+ years of experience writing Solidity smart contracts
• Strong understanding of API Development and best practices
• Experience with Python, Django, PostgreSQL and Redis
• Proficiency in writing clean, readable, and well-documented code
• Experience with REST APIs, GraphQL, and network request handling
• Familiarity with version control systems, particularly Git
• Knowledge of backend performance profiling and optimisation techniques
• Experience with testing and managing AWS infrastructure and Kubernetes
• Familiarity with crypto and related infrastructure, specifically EVM
• Ability to work in a fast-paced environment with changing requirements
• Strong problem-solving skills and attention to detail
• Familiarity with DeFi protocols, especially stablecoins, lending markets, liquid staking, or yield optimisation systems
• Experience integrating offchain data via oracles

What we offer

• Competitive salary and equity package
• Opportunity to shape a category-defining product from the ground up
• Comprehensive health, dental, and vision insurance
• Wellhub membership
• Monthly wellness stipend

Daylight values diversity and welcomes applications from all qualified candidates. We're building technology that serves everyone, and we believe diverse perspectives make our team and our product stronger.

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Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are looking for innovative, motivated, and experienced leaders to join us and move this field forward.

Key reasons to join Cyngn:

• We operate with the energy of a startup, but with the liquidity of a publicly-traded company.
• Our autonomous vehicles are deployed to real clients right now, so your work will have a tangible, visible impact.
• We're a welcoming, diverse team of sharp thinkers and kind humans.

About this role:

As a Robotics Integration Engineer, you'll help bring autonomy to life by integrating hardware + sensors + vehicle software into a reliable, production-ready stack.

Responsibilities

• Integrate and validate sensors such as LiDAR, cameras, IMU/GNSS, and other vehicle hardware.
• Own mission-critical system pieces: state management, health monitoring, diagnostics, logging, and fleet-ready tooling.
• Work on vehicle communications including CAN bus (interfaces, message handling, reliability, basic ECU/firmware touchpoints).
• Build and maintain the glue that makes the stack work: drivers, bring-up scripts, config management, calibration workflows, and time synchronization basics.
• Troubleshoot complex issues across hardware + software + networking (timing drift, dropped frames, driver issues, flaky connections, bandwidth constraints).
• Profile and optimize performance for real-time-ish workloads (high-bandwidth sensor streams, CPU/memory bottlenecks, startup stability).
• Help create and maintain integration tests and validation workflows (reproducible tests, automated checks, regression catches, log replay).
• Collaborate across perception, localization, controls, and product teams to integrate systems cleanly and ship improvements quickly.
• Write clear documentation for integration procedures, system configuration, and “how to debug this when it breaks.”

Qualifications

• 2–4+ years in robotics integration, autonomy, embedded/systems engineering, or adjacent experience working close to hardware.
• Strong programming ability in: C++, Python, Shell scripting, and Linux.
• Solid experience with Linux (Ubuntu), including building, packaging, and running systems in the field.
• Comfort with sensor + hardware bring-up (drivers, calibration workflows, time sync concepts, logs, reproducible setup).
• Understanding of networking fundamentals (TCP/UDP, bandwidth/latency tradeoffs, basic multicast, and debugging with common tools).
• Strong debugging instincts: you can form a hypothesis, gather evidence, and drive to root cause across layers.
• Clear communicator with good documentation habits and a low-ego, team-first approach.

Bonus Qualifications

• Experience with ROS 2 (nodes, launch, TF2, bags, QoS) or other robotics middleware frameworks.
• Experience with CAN tooling (SocketCAN, DBC workflows) and/or ECU/firmware update flows.
• Experience with containerized deployments (e.g., Docker) or production deployment patterns on vehicles.
• Familiarity with profiling tools (perf, top/htop, valgrind, gdb) and performance tuning.
• Exposure to OTA / device management systems (e.g., AWS Greengrass) or fleet rollout practices.
• Understanding of safety-oriented development practices (fault handling, watchdogs, redundancy concepts).
• Experience with simulation environments (e.g., NVIDIA Isaac Sim, Gazebo, or similar) for integration and regression testing.
• CI/CD experience for robotics stacks (automated builds/tests, hardware-in-the-loop or log replay workflows).

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Remote or hybrid work opportunities
• Sabbatical leave opportunity after 5 years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

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Member of Technical Staff - Image / Video Generation

Job Description

We're the team behind Latent Diffusion, Stable Diffusion, and FLUX,foundational technologies that changed how the world creates images and video. We're creating the generative models that power how people make images and video,tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting started.

Why This Role

You'll train large-scale diffusion models for image and video generation, exploring new approaches while maintaining the rigor that helps us distinguish meaningful progress from incremental tweaks. This isn't about following established recipes,it's about running the experiments that clarify which architectural choices matter and which are less impactful.

What You’ll Work On

• Trains large-scale diffusion transformer models for image and video data, working at the scale where intuitions break and empirical evidence matters
• Rigorously ablates design choices,running experiments that isolate variables, control for confounds, and produce insights you can actually trust,then communicating those results to shape our research direction
• Reasons about the speed-quality tradeoffs of neural network architectures in production settings where both constraints matter simultaneously
• Fine-tunes diffusion models for specialized applications like image and video upscalers, inpainting/outpainting models, and other tasks where general-purpose models aren't enough

What We’re Looking For

• You've trained large-scale diffusion models and developed strong intuitions about what matters. You know that at research scale, every design choice has tradeoffs, and the only way to know which ones are worth making is through careful ablation. You're comfortable debugging distributed training issues and presenting research findings to the team.

Required Skills

• Hands-on experience training large-scale diffusion models for image and video data, with practical knowledge of common failure modes and what matters most in training
• Experience fine-tuning diffusion models for specialized applications,upscalers, inpainting, outpainting, or other tasks where understanding the domain matters as much as understanding the architecture
• Deep understanding of how to effectively evaluate image and video generative models,knowing which metrics correlate with quality and which are just convenient proxies
• Strong proficiency in PyTorch, transformer architectures, and the full ecosystem of modern deep learning
• Solid understanding of distributed training techniques,FSDP, low precision training, model parallelism,because our models don't fit on one GPU and training decisions impact research outcomes

Preferred Skills

• Experience writing forward and backward Triton kernels and ensuring their correctness while considering floating point errors
• Proficiency with profiling, debugging, and optimizing single and multi-GPU operations using tools like Nsight or stack trace viewers
• Know the performance characteristics of different architectural choices at scale
• Have published research that contributed to how people think about generative models

How We Work Together

We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.

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This individual will be responsible for overseeing all brokerage related accounting and reporting functions, ensuring compliance with regulations, and leading the design, documentation, and implementation of policies, processes, and controls. This role will also be responsible for working cross functionally with legal, compliance and other teams within Anchorage as we prepare for swap-dealer registration with the National Futures Association.

The role presents a unique and exciting opportunity to navigate the complexities of trading digital assets, derivatives and engaging in digital asset borrowing and lending

Technical Skills:

• Demonstrate expertise in US GAAP with a focus on ASC 606 and ASC 815 and regulatory accounting requirements, ensuring accurate application to revenue recognition and accounting for prime brokerage services.
• Expertise in accounting and regulatory reporting requirements for swap-dealers or related businesses, including knowledge of NFA filings and development of related procedures
• Resolve a wide range of issues in creative ways, suggesting different potential approaches and adapting to new circumstances rapidly.
• Established expertise in designing, implementing, and continuously improving daily and month-end prime brokerage accounting practices, ensuring full compliance with GAAP and industry best practices.
• Apply advanced skills in Google Sheets to efficiently and reliably work with large data sets.
• Proven ability to account for complex matrix organizational structures and intercompany transactions.

Complexity and Impact of Work:

• Lead the accounting team through the intricacies of accounting related to digital asset and OTC derivative prime brokerage activities and products, ensuring alignment with customer contracts as well as evolving regulatory and industry best practices.
• Drive the development of scalable and automated financial processes and controls, leveraging your technical expertise to design and implement internal end-to-end trading system reporting, as well as integration of external software tools, as needed.
• Perform and/or review month end accounting close responsibilities for brokerage related legal entities, including reviewing journal entries, account reconciliations, variance analysis, and FBO fiat and digital asset account reconciliations.
• Provide support for internal and external audits related to specific areas of responsibility.
• Create and maintain detailed documentation of core accounting and regulatory reporting processes.
• Identify opportunities for improvements and efficiencies.

Organizational Knowledge:

• Cultivate effective cross-functional communication with the brokerage, legal, operations and technical accounting teams to ensure comprehensive documentation and understanding of transactions and their appropriate accounting treatment.
• Stay informed and socialize with the broader organization on industry pronouncements, emerging trends, and developments in accounting and reporting for digital assets, SEC regulations, and lending practices.

Communication and Influence:

• Leverage accounting expertise to provide guidance and requirements to product, brokerage operations, legal and engineering teams in designing and implementing new products that meet financial reporting and compliance requirements.
• Assist with internal and external audits to ensure accuracy and timeliness of financial reporting.
• Interact with regulators such as the NFA and CFTC as we navigate the swap-dealer registration process and ongoing regulatory compliance, including examinations.

You may be a fit for this role if you have:

• 10+ years of related accounting experience, with a mix of Big 4 public accounting experience and/or in a fast paced startup/Fintech environment.
• Knowledge of blockchain technology and the crypto economy.
• Able to work well in a dynamic environment, implement process improvements, work autonomously and handle multiple tasks simultaneously.
• Experience accounting for digital assets, prime brokerage services, digital asset borrowing/ lending, and/or derivatives.
• NFA Series 3 License or ability to obtain within 6 months.

Although not a requirement, bonus points if:

• Knowledge of blockchain technology and the crypto economy.
• You have worked at or with investment advisors or institutional investment funds.
• You can write Python scripts, SQL queries or build data integrations into Google Sheets/Excel.
• You have SOX compliance experience.
• Experience working in Netsuite and G-suite.
• Experience accounting for digital asset prime brokerage services.
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)

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The Common Engineering Components (CEC) team, part of Synopsys Central Engineering, develops and maintains productivity-enhancing platforms, tools, and services enabling Synopsys R&D engineers, Field Application Engineers (FAEs), and customers to efficiently identify, diagnose, and resolve issues in Synopsys' Electronic Design Automation (EDA) tools. Our work is critical to the performance and scalability of EDA solutions used in silicon chip design.

We are looking for a Senior Staff Software Engineer to join our team. As a Senior Staff Software Engineer, you will be responsible for delivering enterprise-scale software solutions to internal and external stakeholders, ensuring reliability and performance at every stage. You will collaborate with multiple global engineering teams to achieve common goals and successful project delivery. You will define technical requirements and drive implementation of next-generation productivity platforms. You will mentor engineers, fostering a culture of technical excellence, collaboration, and innovation within the team.

You will utilize C/C++, Python, Unix/Linux system-level knowledge, and advanced debugging and performance profiling tools to deliver robust, scalable solutions and resolve critical issues efficiently. You will accelerate Synopsys' capability to deliver cutting-edge solutions for customers and partners worldwide. You will enable seamless integration of advanced computing platforms into chip design and verification workflows. You will drive operational efficiency and scalability for mission-critical applications and services. You will influence technology strategy and architecture decisions, shaping the future of Synopsys' product offerings. You will empower engineering teams through mentorship, fostering innovation and technical growth. You will enhance customer satisfaction by delivering reliable, high-performance software solutions tailored to evolving industry needs.

You will have 8–14 years of professional software development experience, ideally in High Performance Computing (HPC) or large-scale systems. You will have strong Unix/Linux systems programming background, including multithreading, synchronization, sockets, and inter-process communication (IPC). You will have proven experience designing and working with distributed systems, including networking, databases, and containerized environments. You will have proficiency in C/C++ and Python, with hands-on experience using debugging and performance profiling tools. You will have excellent written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.

You will be an inclusive leader and collaborator, committed to fostering diverse perspectives and teamwork. You will be analytical and detail-oriented, with a passion for solving challenging technical problems. You will be adaptable and proactive, able to thrive in dynamic, rapidly evolving environments. You will be curious and innovative, always seeking new ways to leverage technology for impactful results. You will be a mentor and coach, dedicated to supporting the growth and development of others.

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This role requires exceptional communication skills, strong prioritization, and the ability to navigate a global, fast-paced environment with professionalism and discretion. The CRO is based in the US and travels frequently to Paris and other Mistral offices, requiring tight coordination across multiple time zones.

Responsibilities:

• Manage complex and dynamic calendars across multiple time zones, scheduling meetings, travel, and internal/external engagements.
• Prepare briefing materials, presentations, agendas, and follow-up notes for leadership meetings.
• Handle all incoming and outgoing communications (email, Slack, calls) with clarity, confidentiality, and strong judgment.
• Track deadlines, priorities, and key deliverables to ensure leaders stay ahead of commitments.

Operations & Coordination:

• Coordinate international and domestic travel (flights, accommodations, itineraries) for the CRO and European leaders.
• Support organization of internal and external events, client meetings, offsites, and GTM team gatherings.
• Liaise with employees, clients, partners, and vendors as a primary point of contact for the CRO’s office.
• Maintain documentation, filing systems, dashboards, and shared folders to keep GTM operations structured and up to date.

Cross-functional Support:

• Collaborate closely with the Office Manager and People & Operations teams on initiatives (e.g., revenue team events, onboarding support, quarterly reporting).
• Assist with special projects, process improvements, and operational initiatives driven by the CRO.

Confidentiality & Professionalism:

• Handle sensitive information with discretion and sound judgment.
• Represent the CRO’s office with professionalism, rigor, and a solutions-oriented mindset.

Who You Are:

• Proven experience as an Executive Assistant supporting C-level leaders (CRO/CSO/COO preferred), ideally in fast-growing tech or consulting environments.
• Exceptional communication skills in English (mandatory) and strong proficiency in French is a plus.
• Comfortable managing shifting priorities and multiple time zones in a fast-paced, high-ambiguity environment.
• Highly organized, detail-oriented, and able to anticipate needs before they arise.
• Strong mastery of Google Suite and/or Microsoft Office; experience with productivity tools (Notion, Slack, CRM systems) is a plus.
• Proactive problem solver with a positive, can-do attitude and strong ownership mindset.
• Thrives in a startup environment where no job is too small and impact is immediate.

What we offer:

• Competitive cash salary and equity
• Food: Daily lunch vouchers
• Sport: Monthly contribution to a Gym pass subscription
• Transportation: Monthly contribution to a mobility pass
• Health: Full health insurance for you and your family
• Parental: Generous parental leave policy

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Role Overview and Purpose

The Administrator will provide dedicated administrative support across Amazon sites, ensuring consistent delivery of site-based processes including quotation preparation, purchase order handling, contractor liaison, compliance support, and reporting.

Key Responsibilities

Key duties and accountabilities include:

• Preparing and submitting quotations, referencing supporting supplier quotes to ensure transparency and alignment with ABM's agreed mark-up structure.
• Raising and receipting purchase orders accurately using IBMS (or relevant CAFM systems), ensuring all documentation is filed appropriately.
• Maintaining and updating all administrative trackers – including quotes, purchase orders, and compliance trackers – in IBMS and Microsoft SharePoint/ Teams.
• Supporting the scheduling and closure of approved quotes, working closely with contract managers and site managers to ensure work is allocated and delivered.
• Uploading documentation (e.g. supplier quotes, completion evidence, subcontractor job sheets) to DMS and ensuring records are maintained for billing and audit purposes.
• Assisting in the management of maintenance schedules, ensuring visibility of key PPM dates and site-specific requirements.
• Liaising with subcontractors and internal stakeholders to coordinate additional works, consumables, and reactive requests, ensuring these are correctly separated from core PPM activities in line with contractual boundaries.
• Managing and updating compliance systems such as Avetta, ensuring supplier documentation is up to date and verified.
• Assisting with quote authorisation processes, tracking client approvals (e.g. PO or written instruction) and preparing documentation for submission to the client.
• Contributing to weekly and monthly reporting by updating trackers, submitting quote status updates, monitoring outstanding approvals or POs, and supporting the collation of data for contract performance and financial reporting.
• Providing general administrative support to site and contract managers to help deliver operational efficiency.

Required Skills and Experience

• Strong organisational skills with the ability to manage multiple priorities.
• High attention to detail in document preparation, tracking, and record-keeping.
• Excellent written and verbal communication skills.
• Proficient in Microsoft Office (especially Excel, Word, Teams).
• Experience working with CAFM systems (e.g. IBMS) and digital filing systems (e.g. DMS).
• Confident in liaising with suppliers, contractors, and clients in a professional and clear manner.
• Capable of working independently across multiple sites and adapting to varying operational needs.
• Able to maintain a high level of discretion and professionalism in a fast-paced commercial environment.

Benefits

We're proud to offer a great range of benefits including:

• 24/7 GP: Both you and your immediate family can speak to a UK-based GP from the comfort of your own home
• Mental Health support and Life Event Counseling
• Get Fit Programme
• Financial and legal support
• Cycle to work scheme
• Access Perks at Work, our innovative employee app where you can find:

• Perks: discounts, gift cards, cashback, and exclusive offers
• Life: Search for resources and tools on topics ranging from family and life to health, money and work
• Support: Online chat or telephone service for urgent support in a crisis

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Key Responsibilities:

• Ensure all processes are followed in a timely and effective manner, including the booking in of goods received, all internal credits, perpetual inventory counts, and helpdesk requests.
• Investigate and resolve errors and discrepancies thoroughly.
• Maintain accurate accounting and filing of paperwork.
• Ensure the Distribution Centre provides the highest possible level of customer service and presentation.
• Produce reports required by the departmental management team.
• Meet performance accuracy targets in line with department KPIs.
• Handle high-specification and high-value racing car components.

Our ideal candidate will have previous experience in processing goods in, despatching parts, internal picking, and regular inventory stock counts. You will be highly computer literate and have an eye for detail. You will have a can-do attitude with the ability to work in a fast-paced environment. Previous experience in the Motorsport or automotive industry would be advantageous.

What can we offer you?

• An attractive salary that will grow in line with your ongoing development and impact.
• 25 days holiday (increasing with long service) with the option to purchase up to 15 extra days.
• Training opportunities for continuing professional development.
• Onsite subsidised staff restaurant.
• Car and pension salary sacrifice schemes.
• Cyclescheme.
• Exercise classes.
• Paid time off for volunteering.
• Consultations with our Fit 4 Life expert.
• Social events throughout the year.
• Exclusive company discounts.
• Life assurance.

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Job Responsibilities

• Proactively drive the research and implementation of the Razer Gold core automation system.
• Engage with Product and various partner teams for business and technical requirements.
• Drive the review of the technical design and implementation of the team.
• Leverage latest AI technology and LLM to tackle challenging technical issues.
• Research on how to leverage AI for driving the automation transformation.
• Set an example by building high-quality code with unit test and automation test.
• Stay on top of any critical issues and drive to the finish line.
• Work with the team to migrate the existing system to a new tech stack.

Pre-Requisites

• Bachelor's or Master's degree in Computer Science, Math, Physics, or other technical fields.
• Experience in E-Commerce Java based core system design and implementation.
• Experience in leveraging AI and various LLM for driving automation transformation and adoption.
• Experience in building highly scalable, high availability online system.
• Experience in implementing test automation and performance test.
• Hands-on experience in JVM tuning and heap dump analysis. Good understanding of GC mechanisms and familiarity of Java profiling is a huge plus.
• Experience in .Net system is a plus.
• Experience in DB system, especially PostgreSQL and MySQL DB.
• Experience with one of major public cloud services is a huge plus, especially AWS.

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Your key responsibilities will include:

• Proactively driving the design and implementation of the Razer Gold core backend system.
• Engaging with Product and various partner teams for business and technical requirements.
• Driving the review of the technical design and implementation of the team.
• Leading the team to tackle challenging technical issues.
• Helping the team to grow and prepare for foreseeable technical challenges.
• Setting an example by building high-quality code with unit tests and automation tests.
• Staying on top of any critical issues and driving to the finish line.
• Leading the team to migrate the existing system to a new tech stack.

Razer offers a unique, gamer-centric experience that will put you in an accelerated growth, both personally and professionally.

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Collaboration & Support

You'll work closely with animators, character artists, and gameplay engineers to ensure efficient workflows and high-fidelity animated content. You'll translate the technical requirements of the animation team into actionable solutions for engineering and pipeline teams. You'll diagnose and resolve complex animation-related issues including rig behavior, deformation quality, skeletal hierarchies, retargeting, and physics performance.

Rigging, Simulation & Animation Systems

You'll design, build, and maintain modular, animator-friendly rigs for characters, creatures, props, facial animation, and mechanical assets. You'll implement and refine physics-based systems including ragdoll setups, cloth simulation, spline dynamics, secondary motion, and procedural animation solutions. You'll develop scalable animation blueprints, state machines, blend trees, and control rigs in Unreal or Unity. You'll integrate motion capture data, build retargeting pipelines, and ensure consistent motion quality across diverse character sets.

Tools, Pipelines & Optimisation

You'll create and maintain tools, scripts, and automated pipelines that improve animation productivity and asset quality. You'll build validation tools to enforce naming conventions, skeleton standards, rig integrity, and performance budgets. You'll profile and optimise animation systems, rig performance, runtime solvers, and physics setups to work efficiently within hardware constraints. You'll participate in cross-discipline R&D to establish best practices for real-time deformation, procedural animation, and advanced simulation workflows.

Requirements

• Experience with Python, C#, MEL, PyMEL, MAXScript, Blueprints (Unreal), Editor Tools (Unity)
• Understanding of runtime animation systems, rig solvers, and physics components
• Familiarity with shader scripting (HLSL/GLSL) is a plus, particularly for deformation or skinning R&D

Skills

• Character & Creature Rigging
• Cloth / Hair / Ragdoll / Physics Setup
• Animation Pipeline Development
• Procedural Animation & Secondary Motion
• Performance Profiling & Optimisation
• Motion Capture Integration

Software / Tools

• Unreal Engine (Control Rig, Physics, Animation Blueprints)
• Unity (Mecanim, Animation Rigging Package, DOTS animation optional)
• Maya, 3DS Max (rigging, scripting, tool creation)
• Houdini (procedural rigs, physics, motion tools a bonus)

Benefits

• Only those with relevant working rights for Malaysia, and Indonesia will be considered. Sponsorship and relocation is not being offered as part of this package.

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Duties and Responsibilities

Social Media & Content Management (30-60%)

Develop and execute the social media strategy across platforms in China (e.g., WeChat, Weibo, Douyin) to increase brand awareness and engagement. Create, curate, and publish engaging content (graphics, video, text) tailored for both B2B and B2C audiences. Manage community interactions, respond to comments and messages, and foster a positive online community.

Marketing Events & Campaigns (5%)

Plan, coordinate, and execute online and offline marketing events, including webinars, trade shows, partner showcases, and community tournaments. Support the development of integrated marketing campaigns to promote company services, products, and new initiatives. Manage event logistics, promotion, and post-event follow-up to maximize lead generation and ROI.

Reporting & Analytics (5%)

Monitor, track, and analyze the performance of marketing campaigns and social media channels using analytics tools. Generate regular reports on KPIs (e.g., engagement rates, lead generation, conversion rates, ROI) to provide actionable insights and inform future strategy. Present findings and recommendations to the management team.

New Business Sector Support (30-60%)

Conduct market research and analysis to identify opportunities and trends for new business sectors. Apply marketing expertise to develop go-to-market strategies, target audience profiles, and initial branding for new ventures. Collaborate with the business development and leadership teams to create marketing materials and pitches for new potential service lines or products. Execution for delivery of potentially one or more of the new business sectors.

Represent the region for Global Marketing and Brand Alignment

Work with the global marketing, branding, and social media teams for alignment and execution of global campaigns.

Requirements

• Bachelor’s degree with relevant working experience.
• Proven hands-on experience managing social media channels and running marketing events.
• Strong analytical skills and experience with reporting tools (e.g., Google Analytics, Baidu analytics, social media insights etc.).
• Excellent written and verbal communication skills in English and Mandarin.
• A creative, proactive, and entrepreneurial mindset.
• Passion for and experience in games.
• Experience in games marketing or games media a big plus.
• Good knowledge in game publishing.
• Experience marketing in both B2B and B2C models.
• Experience with graphic design (e.g., Adobe Creative Suite, Canva) and video editing tools.

Benefits

Base salary, Bonus, Social insurance and housing funds, medical check-up/ additional medical insurance, EAP Program.

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As an Environment Artist (Lighting Focus) at Keywords Studios, you will create high-quality environment art with a strong emphasis on lighting, mood, and atmosphere. You will build, iterate, and optimise lighting setups that support gameplay, narrative, and artistic direction.

Responsibilities:

• Create high-quality environment art with a strong emphasis on lighting, mood, and atmosphere.
• Build, iterate, and optimise lighting setups that support gameplay, narrative, and artistic direction.
• Collaborate closely with art direction, level design, and tech art to ensure lighting enhances spatial readability and performance.
• Author and maintain lighting passes, post-processing profiles, and environment shaders/materials as needed.
• Troubleshoot lighting issues related to performance, consistency, or technical constraints across platforms.
• Contribute to visual benchmarks and help establish best practices for lighting workflows.

Requirements:

• Proven experience as an Environment or Lighting Artist on a shipped AAA or high-quality game project.
• Strong portfolio demonstrating lighting, composition, and environment art fundamentals.
• Proficiency with modern game engines (Unreal, Unity or proprietary engines).
• Solid understanding of lighting theory, color, exposure, and real-time rendering.
• Experience with PBR workflows and optimisation for real-time environments.
• Ability to work collaboratively across disciplines and iterate quickly based on feedback.
• Experience with lighting tools, profiling/debugging, or scripting for workflow automation.

Benefits:

• Only those with relevant working rights for Malaysia, and Indonesia will be considered.
• Sponsorship and relocation is not being offered as part of this package.

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As an Environment Artist at Keywords Studios, you will be responsible for creating high-quality environment art, building, iterating, and optimising environments that support gameplay, narrative, and artistic direction.

Key responsibilities include:

• Collaborating closely with art direction, level design, and tech art to build performant and visually impressive worlds
• Troubleshooting issues related to performance, consistency, or technical constraints across platforms
• Contributing to visual benchmarks and helping establish best practices for environment art workflows

Requirements:

• Proven experience as an Environment Artist (5+ years) on a shipped AAA or high-quality game project
• Strong portfolio demonstrating environment art fundamentals and processes
• Proficiency with modern game engines (Unreal, Unity or proprietary engines)
• Lighting experience, has general understanding of lighting workflows (baking, performance impacts)
• Experience with PBR workflows and optimization for real-time environments
• Ability to work collaboratively across disciplines and iterate quickly based on feedback
• Experience profiling/debugging, or scripting for workflow automation

Benefits:

• Competitive salary and benefits package
• Opportunity to work on exciting and challenging projects
• Collaborative and dynamic work environment

Note: Only those with relevant working rights for Malaysia, and Indonesia will be considered. Sponsorship and relocation is not being offered as part of this package.

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Helpshift helps B2B brands deliver this modern customer service experience through a mobile-first approach. We have changed how conversations take place, moving the conversation away from a slow, outdated email and desktop experience to an in-app chat experience that allows users to interact with brands in their own time.

Through our market-leading AI-powered chatbots and automation, we help brands deliver instant and rapid resolutions. Because agents play a key role in delivering help, our platform gives agents superpowers with automation and AI that simply works.

About the Team

Consumers care first and foremost about having their time valued by brands. Brands need insights into their customer service operation to serve their consumers effectively. Such insights and analytics are delivered through various data products like in-app analytics dashboards and data-sharing integrations.

The data platform team is responsible for designing, building, and maintaining the data infrastructure that enables such data and analytics products at scale. We build and manage data pipelines, databases, and other data structures to ensure that the data is reliable, accurate, and easily accessible.

We also enable internal stakeholders with business intelligence and machine learning teams with data ops. This team manages the platform that handles 2 Million events per minute and processes 1+ terabytes of data daily.

About the Role

• Building maintainable data pipelines both for data ingestion and operational analytics for data collected from 2 billion devices and 900M Monthly active users
• Building customer-facing analytics products that deliver actionable insights and data, easily detect anomalies
• Collaborating with data stakeholders to see what their data needs are and being a part of the analysis process
• Write design specifications, test, deployment, and scaling plans for the data pipelines
• Mentor people in the team & organization

Requirements

• 3+ years of experience in building and running data pipelines that scale for TBs of data
• Proficiency in high-level object-oriented programming language (Python or Java) is must
• Experience in Cloud data platforms like Snowflake and AWS, EMR/Athena is a must
• Experience in building modern data lakehouse architectures using Snowflake and columnar formats like Apache Iceberg/Hudi, Parquet, etc
• Proficiency in Data modeling, SQL query profiling, and data warehousing skills is a must
• Experience in distributed data processing engines like Apache Spark, Apache Flink, Datalfow/Apache Beam, etc
• Knowledge of workflow orchestrators like Airflow, Dasgter, etc is a plus
• Data visualization skills are a plus (PowerBI, Metabase, Tableau, Hex, Sigma, etc)
• Excellent verbal and written communication skills
• Bachelor’s Degree in Computer Science (or equivalent)

Benefits

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India.

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Responsibilities

• Develop and implement systems and tools for the engine, rendering, and technological needs such as streaming, world editing, shaders, lighting, particles, and effects.
• Optimize memory and performance to meet the requirements of the target platforms.
• Provide support to technical artists and other team members as needed to use the technology correctly and efficiently.
• Analyze and propose improvements to the current 3D technologies in our engine.

Requirements

• 5 years of experience in a game development studio.
• Advanced knowledge of C++ and multi-threading techniques.
• Good understanding of modern GPU rendering pipelines and ability to use them efficiently.
• Familiarity with console APIs.
• Mastery of linear algebra 3D.
• Experience with modern rendering techniques such as TAA, deferred rendering, reflections, and global illumination.
• Fluent in French and English (spoken, written, and read).

Nice to Have

• Experience with profiling tools.
• Experience with ray tracing software.

How to Apply

If this opportunity seems like a new and exciting step in your career, we would be delighted to meet you. We know that some people hesitate to apply when they are not sure they meet all the requirements for a job. If you are unsure, take the leap! Share with us what you can bring to the project; we are eager to discover your unique talents, whether it's for this job or a future opportunity. Send your CV, cover letter, and achievements (professional and personal projects) via the form below.

The next steps will be:

• Review of your application
• Technical test (if applicable)
• Interview with a member of the HR team (remote)
• Technical interview with the project leads (in person, when possible, and we will reimburse your travel expenses to Bordeaux)

If you want to learn more about us, take a look at our LinkedIn page; there's a lot to discover about life at Asobo!

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This position is ideal for someone who thrives at the intersection of platform engineering, system design, performance optimization, and long-term architectural thinking. You will shape the technical backbone that enables product teams to move faster, ship safer, and innovate with confidence. If you enjoy building durable foundations, eliminating systemic risks, and raising the quality bar for mobile engineering, you’ll feel right at home on our team.

MAI operates with the agility of a startup—fast-paced, iterative, and impact-driven—while backed by Microsoft’s mission to empower every person and organization on the planet to achieve more. We value engineers who take initiative, navigate ambiguity with clarity, and continuously push the boundaries of what mobile platforms can achieve.

Responsibilities

Strengthen the core quality and reliability of the app, building guardrails, diagnostics, and automated protections that prevent regressions and ensure consistent performance at scale.

Drive optimizations across the app, using deep platform knowledge to identify systemic bottlenecks and implement durable improvements.

Partner closely with cross-functional teams (Product, Design, Research, Backend, AI) to translate complex requirements into robust, scalable client-side solutions.

Explore and integrate AI-assisted development workflows to improve code quality, reduce iteration time, and enhance developer productivity across the mobile organization.

Own critical incident response and long-term remediation, ensuring the app remains stable, observable, and resilient under real-world conditions.

Qualifications

Required Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

2+ years of professional experience in iOS development using Swift and/or Objective‑C, with strong understanding of iOS frameworks, system behaviors, and performance characteristics.

Proven experience building and maintaining large-scale, high-quality mobile applications with complex architecture and long-term maintainability requirements.

Solid understanding of mobile system design, including modularization, dependency management, concurrency, memory management, and networking.

Demonstrated ability to diagnose and resolve deep technical issues across performance, stability, and reliability dimensions.

A growth mindset and willingness to adopt new tools, technologies, and AI-assisted engineering workflows.

Preferred Qualifications:

Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Experience designing mobile foundations or platform-level components (e.g., shared frameworks, internal SDKs, architecture patterns).

Expertise in performance profiling, crash/ANR root-cause analysis, startup optimization, memory tuning.

Experience with cross-platform client engineering (Android, React Native, Flutter, or shared C++ layers) is a plus.

Solid communication and collaboration skills, with the ability to influence engineering direction across multiple teams.

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In this role, you will architect, harden, and optimize the core layers of our mobile applications—frameworks, infrastructure, performance pipelines, and reliability systems—that power Copilot and our broader ecosystem across millions of devices.

This position is ideal for someone who thrives at the intersection of platform engineering, system design, performance optimization, and long-term architectural thinking. You will shape the technical backbone that enables product teams to move faster, ship safer, and innovate with confidence.

If you enjoy building durable foundations, eliminating systemic risks, and raising the quality bar for mobile engineering, you'll feel right at home on our team.

MAI operates with the agility of a startup—fast-paced, iterative, and impact-driven—while backed by Microsoft’s mission to empower every person and organization on the planet to achieve more.

We value engineers who take initiative, navigate ambiguity with clarity, and continuously push the boundaries of what mobile platforms can achieve.

Responsibilities:

Strengthen the core quality and reliability of the app, building guardrails, diagnostics, and automated protections that prevent regressions and ensure consistent performance at scale.

Drive optimizations across the app, using deep platform knowledge to identify systemic bottlenecks and implement durable improvements.

Partner closely with cross-functional teams (Product, Design, Research, Backend, AI) to translate complex requirements into robust, scalable client-side solutions.

Explore and integrate AI-assisted development workflows to improve code quality, reduce iteration time, and enhance developer productivity across the mobile organization.

Own critical incident response and long-term remediation, ensuring the app remains stable, observable, and resilient under real-world conditions.

Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

2+ years of professional experience in iOS development using Swift and/or Objective‑C, with strong understanding of iOS frameworks, system behaviors, and performance characteristics.

Proven experience building and maintaining large-scale, high-quality mobile applications with complex architecture and long-term maintainability requirements.

Solid understanding of mobile system design, including modularization, dependency management, concurrency, memory management, and networking.

Demonstrated ability to diagnose and resolve deep technical issues across performance, stability, and reliability dimensions.

A growth mindset and willingness to adopt new tools, technologies, and AI-assisted engineering workflows.

Preferred Qualifications:

Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Experience designing mobile foundations or platform-level components (e.g., shared frameworks, internal SDKs, architecture patterns).

Expertise in performance profiling, crash/ANR root-cause analysis, startup optimization, memory tuning.

Experience with cross-platform client engineering (Android, React Native, Flutter, or shared C++ layers) is a plus.

Solid communication and collaboration skills, with the ability to influence engineering direction across multiple teams.

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We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations.

You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm.

Responsibilities

• Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities

• Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform

• Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems

• Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data

• Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale

• Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports

• Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders

• Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices

You may be a good fit if you

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience with large language models and understanding of how AI technology could be misused for cyber threats

• Have subject matter expertise in abusive user behaviour detection, such as influence operations, coordinated inauthentic behaviour, or cyber threat intelligence

• Have experience tracking threat actors across surface, deep, and dark web environments

• Can derive insights from large datasets to make key decisions and recommendations

• Have experience with threat actor profiling and utilising threat intelligence frameworks (MITRE ATT&CK, etc.)

• Have strong project management skills and ability to build processes from the ground up

• Possess excellent communication skills to collaborate with cross-functional teams and present to leadership

Strong candidates may also have

• Experience working with government agencies or in regulated environments

• Background in AI safety, machine learning security, or technology abuse investigation

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

Deadline to apply

None. Applications will be reviewed on a rolling basis.

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.

Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us.

To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/career

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Anthropic is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organisation. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on—from metrics and logging pipelines to distributed tracing, error analytics, alerting, and the dashboards and query interfaces that make it all actionable.

Responsibilities

• Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure
• Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organisational growth
• Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services
• Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise
• Reduce mean time to detection and resolution by building cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling
• Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organisation

You May Be a Good Fit If You:

• Have 10+ years of relevant industry experience building and operating large-scale observability or monitoring infrastructure
• Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others
• Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale
• Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems
• Have strong proficiency in at least one of Python, Rust, or Go
• Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities
• Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges

Strong Candidates May Also Have:

• Experience operating metrics systems at very high cardinality (hundreds of millions of active time series or more)
• Experience with log storage migrations or operating columnar databases (ClickHouse, BigQuery, or similar) for analytics workloads
• Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies
• Experience building or operating alerting platforms, on-call tooling, or SLO frameworks at scale
• Experience with Kubernetes-native monitoring, eBPF-based observability, or continuous profiling
• Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses.

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We are looking for a Technical CBRN-E Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats.

Responsibilities

• Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment

• Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors

• Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns

• Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems

• Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs

• Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions

• Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities

• Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes

You may be a good fit if you

• Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience with threat actor profiling and utilizing threat intelligence frameworks

• Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats

• Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners

Strong candidates may also have

• Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field

• Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats

• Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information

• Background in AI safety, machine learning security, or technology abuse investigation

• Familiarity with synthetic biology, biotechnology, or dual-use research

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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Pioneering the next generation of AI requires breakthrough innovations in GPU performance and systems engineering. As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible for maximizing GPU utilization and performance at unprecedented scale, developing cutting-edge optimizations that directly enable new model capabilities and dramatically improve inference efficiency.

Working at the intersection of hardware and software, you'll implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack—from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization.

Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.

You might be a good fit if you:

• Have deep experience with GPU programming and optimization at scale
• Are impact-driven, passionate about delivering measurable performance breakthroughs
• Can navigate complex systems from hardware interfaces to high-level ML frameworks
• Enjoy collaborative problem-solving and pair programming
• Want to work on state-of-the-art language models with real-world impact
• Care about the societal impacts of your work
• Thrive in ambiguous environments where you define the path forward

Strong candidates may also have experience with:

• GPU Kernel Development: CUDA, Triton, CUTLASS, Flash Attention, tensor core optimization
• ML Compilers & Frameworks: PyTorch/JAX internals, torch.compile, XLA, custom operators
• Performance Engineering: Kernel fusion, memory bandwidth optimization, profiling with Nsight
• Distributed Systems: NCCL, NVLink, collective communication, model parallelism
• Low-Precision: INT8/FP8 quantization, mixed-precision techniques
• Production Systems: Large-scale training infrastructure, fault tolerance, cluster orchestration

Representative projects:

• Co-design attention mechanisms and algorithms for next-generation hardware architectures
• Develop custom kernels for emerging quantization formats and mixed-precision techniques
• Design distributed communication strategies for multi-node GPU clusters
• Optimize end-to-end training and inference pipelines for frontier language models
• Build performance modeling frameworks to predict and optimize GPU utilization
• Implement kernel fusion strategies to minimize memory bandwidth bottlenecks
• Create resilient systems for planet-scale distributed training infrastructure
• Profile and eliminate performance bottlenecks in production serving infrastructure
• Partner with hardware vendors to influence future accelerator capabilities and software stacks

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The expected salary range for this position is:

Annual Salary: $280,000 - $850,000USD

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London, UK

Employment Type

Full time

Department

Scaling

About the Team

Training Runtime designs the core distributed runtime that powers everything from early research experiments to frontier-scale model runs. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI.

Within Training Runtime, the Process Management team develops the distributed OS responsible for launching, coordinating, and supervising the large numbers of processes that make up modern training workloads. Our runtime sits beneath training frameworks and on top of research infrastructure, ensuring jobs run reliably across massive clusters while maintaining performance, stability, and observability.

Success for us is measured by both system reliability and researcher velocity - enabling ideas to scale from experiments to production training runs.

About the Role

As a Training Runtime: Process Management Engineer, you will work on the software that ties thousands of computers together and exposes them as a unified system.

This system has to serve individual researchers running multiple parallel experiments, as well as our largest training runs spanning 100’s of thousands and even millions of machines and accelerators. This requires easy to use, introspectable systems that can promote a fast debugging and development cycle, as well as relentless optimization for scale while maintaining stability and performance throughout.

You will work primarily in Rust, building high-performance asynchronous systems with a strong emphasis on performance, correctness, and scalability.

Working at this scale and at the frontier of AI development poses novel challenges. Out-of-the-box approaches often don’t work. The problems you will be working on are highly ambiguous and require strong design judgment as well as proficient execution to advance the state of our infrastructure.

We’re looking for people who love optimizing an end-to-end platform, understanding high-performance architectures to maximize both local and distributed performance across our supercomputers. We’re looking for engineers excited by the rapid pace of responding to the dynamic and evolving needs of our training runtime and compute stack.

This role is based in London, UK. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Work across our Python and Rust stack
• Design, build, and maintain software to orchestrate and monitor machine learning workloads on our largest supercomputers
• Profile and optimize our software stack to support computation orchestration at frontier scale
• Improve reliability, observability, and fault tolerance for long-running jobs
• Debug complex distributed systems issues across large clusters
• Respond to the changing shapes and needs of the ML systems to enable our researchers

You might thrive in this role if you:

• Have experience developing distributed systems (not just operating them)
• Enjoy understanding how large systems behave and fail at scale
• Care deeply about performance, correctness, and reliability
• Have strong software engineering skills and are proficient in Python and Rust or another systems programming language (e.g. C++)
• Have solid Linux knowledge, and are comfortable with systems-level debugging, performance analysis, and memory profiling
• Are comfortable and experienced working and developing asynchronous and concurrent systems
• Like high-ownership environments with light process and strong engineering agency

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $295K – $555K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprises and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference.

About the Role

We’re hiring engineers to scale and optimize OpenAI’s inference infrastructure across emerging GPU platforms. You’ll work across the stack - from low-level kernel performance to high-level distributed execution - and collaborate closely with research, infra, and performance teams to ensure our largest models run smoothly on new hardware.

This is a high-impact opportunity to shape OpenAI’s multi-platform inference capabilities from the ground up with a particular focus on advancing inference performance on AMD accelerators.

In this role, you will:

• Own bring-up, correctness and performance of the OpenAI inference stack on AMD hardware.

• Integrate internal model-serving infrastructure (e.g., vLLM, Triton) into a variety of GPU-backed systems.

• Debug and optimize distributed inference workloads across memory, network, and compute layers.

• Validate correctness, performance, and scalability of model execution on large GPU clusters.

• Collaborate with partner teams to design and optimize high-performance GPU kernels for accelerators using HIP, Triton, or other performance-focused frameworks.

• Collaborate with partner teams to build, integrate and tune collective communication libraries (e.g., RCCL) used to parallelize model execution across many GPUs.

You can thrive in this role if you:

• Have experience writing or porting GPU kernels using HIP, CUDA, or Triton, and care deeply about low-level performance.

• Are familiar with communication libraries like NCCL/RCCL and understand their role in high-throughput model serving.

• Have worked on distributed inference systems and are comfortable scaling models across fleets of accelerators.

• Enjoy solving end-to-end performance challenges across hardware, system libraries, and orchestration layers.

• Are excited to be part of a small, fast-moving team building new infrastructure from first principles.

Nice to Have:

• Contributions to open-source libraries like RCCL, Triton, or vLLM.

• Experience with GPU performance tools (Nsight, rocprof, perf) and memory/comms profiling.

• Prior experience deploying inference on other non-NVIDIA GPU environments.

• Knowledge of model/tensor parallelism, mixed precision, and serving 10B+ parameter models.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Frontend Engineer, Identity

Location

San Francisco

Employment Type

Full time

Location Type

On-site

Department

Applied AI

Compensation

• $230K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Applied team at OpenAI brings cutting-edge AI technology into the hands of millions of people and businesses worldwide. We build and operate products such as ChatGPT, Sora, and the OpenAI API, delivering state-of-the-art multimodal capabilities across text, image, audio, and video. Our work spans product engineering, large-scale inference, and platform infrastructure — all designed to safely and reliably support global usage.

About the Role

As a Frontend Engineer on OpenAI’s Identity team, you’ll build the user-facing experiences that make secure access to OpenAI simple, clear, and trustworthy for organizations. You’ll design and implement core identity flows — such as sign-in, account management, permissions, and admin experiences — that enable enterprises to adopt OpenAI’s products with confidence.

You’ll work closely with design, product, security, and backend teams to translate complex identity systems like SSO, RBAC, and identity federation into intuitive, reliable interfaces. Your work will directly shape how users and administrators understand and manage access across OpenAI’s products, helping unlock secure, large-scale enterprise adoption of AI.

This role is based in San Francisco, California. There may be relocation options available.

In this role, you will:

• Build scalable, reusable frontend components and patterns for core identity experiences, including sign-in flows, account management, permissions, and admin surfaces.

• Partner closely with backend and security engineers to deliver end-to-end identity capabilities such as SSO, RBAC, SCIM provisioning, and delegated access through clear, intuitive interfaces.

• Translate complex authentication and authorization systems (e.g., SAML, OIDC, OAuth) into user experiences that are understandable, reliable, and trustworthy for both admins and end users.

• Help define frontend architecture, standards, and patterns for a shared identity platform used across OpenAI’s products.

• Build internal tools and surfaces that enable teams across OpenAI to integrate, manage, and reason about identity and access control effectively.

• Collaborate with Product, Design, Security, and Go-To-Market partners to turn ambiguous enterprise requirements into high-quality, user-centered interfaces.

You might thrive here if you:

• Have at least 5+ years of frontend engineering experience building and maintaining production-grade web applications, with a focus on usability, scalability, and long-term maintainability.

• Bring deep frontend expertise and genuine enthusiasm for frontend frameworks, performance optimization, latency, and building reusable, composable UI systems.

• Are excited to take ownership of critical access flows, helping scale and improve sign-in, permissions, and account experiences across OpenAI’s products.

• Enjoy working closely with cross-functional partners — including product, design, security, and go-to-market teams — to shape thoughtful, user-centered solutions.

• Have experience evolving or re-architecting production systems to support new capabilities and increased scale.

• Care deeply about user experience and take pride in crafting interfaces that make complex identity and access systems feel simple and trustworthy.

• Thrive in fast-moving environments where re

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Location

San Francisco

Employment Type

Full time

Department

Consumer Products

Compensation

• $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

Consumer Products Research prototypes the future of computing: we explore new modalities, interaction patterns, and system behaviors, then do the engineering required to make those ideas real in rigorous prototypes. The Neosensing team sits at the intersection of sensing, edge algorithms, and systems engineering. We build the end-to-end software that turns new signals into dependable capabilities—collection tooling and protocols, algorithm integration and evaluation hooks, and on-device loops that stay stable under real-world variability. We care deeply about software quality and iteration speed: clean interfaces, debuggability, observability, and performance under tight device constraints.

About the Role

As a Software Engineer on Consumer Products Research, you’ll sit at the boundary between algorithm development and shippable systems. You’ll work closely with algorithm engineers to translate prototypes into clean interfaces, reliable pipelines, and efficient on-device implementations—with strong attention to performance, observability, and real-world failure modes.

This is a software role first: we’re looking for someone who loves writing great code every day, takes pride in engineering craft, and is comfortable going deep enough into the algorithmic details to make the system work end-to-end.

This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Build and ship production software for sensing algorithms, translating algorithm prototypes into reliable end-to-end systems.

• Implement and own key parts of the Python shipping pipeline (integration surfaces, evaluation hooks, and quality/performance guardrails).

• Develop embedded/on-device software in an RTOS environment (e.g., Zephyr) and deploy models to device runtimes and hardware accelerators.

• Optimize real-time on-device perception loops (e.g., detection/tracking-style pipelines) for stability, latency, power, and memory constraints.

• Create data collection + instrumentation tooling to bring up new sensing modalities and accelerate iteration from prototype → dataset → model → device.

• Partner cross-functionally (algorithms, human data, firmware/hardware) to debug, profile, and harden systems against real-world variability.

You might thrive in this role if you:

• Love writing great software and want your work to sit close to novel sensing and edge algorithms.

• Understand algorithm behavior well enough to integrate, debug, and evaluate it—even if you’re not the primary model inventor.

• Have shipped production Python systems and care about clean interfaces, tests, and long-term maintainability.

• Enjoy embedded/on-device work and can debug across hardware, firmware, and higher-level application layers.

• Care about performance engineering and know how to profile and optimize under tight device constraints.

• Take ownership end-to-end and thrive in ambiguous, fast-moving, zero-to-one environments.

Bonus:

• Zephyr (or similar RTOS) experience.

• On-device ML deployment (NPU/GPU/DSP) and accelerator-aware profiling/optimization.

• Background in multimodal sensing, sensor fusion, or on-device perception.

• Experience building data collection systems and human-in-the-loop workflows (protocols, QA, metadata)

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences of our users and the broader community.

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Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

Job Purpose

Provide paralegal and administrative support to patent attorneys and agents in the Patent Prosecution and Patent Strategy departments of the Patent Division at AHM Law & IP business unit.

Key Accountabilities

• Patent Filings and Data Management: Assist patent attorneys and agents with preparation and filing of patent applications with the US Patent Office (and post-filing prosecution), including data management in the patent database and docketing support for invention disclosures, patent searches, prosecution, and maintenance
• Division Operations and Patent Portfolio Administration: Provide administrative assistance for patent activities, including patent inventor award programs, annuities decisions, foreign filing decisions, budgeting, and invoicing
• Development Information Sharing Support: Attend development meetings and share information, as appropriate, with other associates in the division, including during monthly meetings
• Projects: Participate in the planning and execution of assigned projects, including, for example, projects to improve operations and policies
• Back Up: Provide back up to other paralegals
• Administrative: Other general and office administrative duties as required

Qualifications, Experience, and Skills

• Bachelor’s Degree desired; Paralegal Certificate from an ABA-approved Paralegal program also desired
• Required: Minimum of 5 years paralegal experience in a corporate law department or large firm handling corporate transactional matters
• Desired: Familiarity with patent practice and the US Patent Office electronic filing system, as well as familiarity with the Anaqua database system
• Experience evaluating and verifying data to determine compliance with standards, laws, and regulations is desired
• Time management skills, flexibility, attention to detail, and being a self-starter are essential
• Excellent communication and organizational skills
• Exposure to areas of the law he/she will be supporting
• Proficiency with MS Office (Word, Excel, PowerPoint) and AI tools (CoPilot, Power BI, Power Query)
• Ability to understand and work with different computer applications and databases
• Willingness and ability to learn new legal areas or skills.

What differentiates Honda and make us an employer of choice?

Total Rewards:

• Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
• Paid Overtime
• Regional Bonus (when applicable)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401K Plan with company match + additional contribution
• Relocation assistance (if eligible)

Career Growth:

• Advancement Opportunities
• Career Mobility
• Education Reimbursement for Continued Learning
• Training and Development programs

Additional Offerings:

• Tuition Assistance & Student Loan Repayment
• Lifestyle Account
• Childcare Reimbursement Account
• Elder Care Support
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

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What you'll do

• Develop and enhance algorithms for resistance, capacitance, and coupling extraction.
• Model and integrate process-dependent effects (e.g., etch bias, line end extension, thickness variation) into extraction frameworks to ensure signoff-grade accuracy.
• Build and optimize numerical solvers—iterative methods, preconditioners, and low-rank approximations—with high performance and numerical stability.

What you need

• MS/PhD in EE, CE, CS, Applied Math, Physics, or related field.

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Microsoft are looking for a talented Senior Software Engineer at their Suzhou office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the search engine and online advertising ecosystem. You'll work directly with leadership to shape the company's direction in the search and advertising markets.

About the Role

The R&D of Search Ads aims to build an online advertising ecosystem of users, advertisers, and the search engine. Bing Search Ads Understanding team is chartered to deliver world class algorithm using web scale data. Our mission is to drive user satisfaction, advertiser ROI and Bing revenue. A core challenge is to match advertisers’ “Ad display” and users’ “query” by build an intelligent system to really understand the users need. This is a very hard problem that demands the most advanced AI models and sophisticated engineering systems. Join us to work on projects highly strategic to Bing search in a fun and fast-paced environment!

Accountabilities

• Design, develop, and maintain high-performance software in C/C++ and Python, including GPU programming with CUDA, ROCm, or Triton.
• Optimize model inference and training pipelines for speed, throughput, memory efficiency, and cost across GPU platforms.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Python, CUDA, or ROCm OR equivalent experience.

Technical skills:

• Practical experience writing new GPU kernels, going beyond experience of GPU workloads with existing library kernels.

Personal attributes:

• Cross-team collaboration skills and the desire to collaborate in a team of researchers and developers.

Benefits

• Work on projects highly strategic to Bing search in a fun and fast-paced environment.
• Collaborate with platform teams to integrate and tune solutions on emerging accelerator stacks and rapidly evolving toolchains.
• Partner with internal and external stakeholders to translate requirements into scalable performance features and optimizations for state-of-the-art models.

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Microsoft AI are looking for a talented Principal Software Engineer at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Principal Software Engineer, you will be responsible for designing and implementing complex software systems that drive innovation in AI infrastructure. You will work with cutting-edge hardware and software stacks to deliver best-in-class inference performance while optimizing for cost, leveraging open-source projects to advance deep learning applications. You will collaborate with external and internal teams to identify new areas for improvement and contribute to innovations that enhance model performance and deployment.

Accountabilities

• Engage directly with key partners to understand, design, and implement complex inferencing capabilities for state-of-the-art deep learning models, driving innovations in AI infrastructure.
• Work with cutting-edge hardware and software stacks to deliver best-in-class inference performance while optimizing for cost, leveraging open-source projects to advance deep learning applications.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with model compression (quantization, distillation, SVD, low-rank methods).
• Experience in building high-throughput inference serving stacks (continuous batching, KV-cache optimizations, routing).

Personal attributes:

• Solid experience in GPU inference optimization (CUDA, TensorRT, Triton, or custom GPU kernels).
• Proficiency in profiling tools (Nsight, TensorBoard, PyTorch profiler) and ability to identify CPU/GPU bottlenecks.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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Microsoft AI are looking for a talented Member of Technical Staff, LLM Inference to join their MAI Superintelligence Team in New York. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI research and development. You'll work directly with leadership to shape the company's direction in the AI and machine learning markets.

About the Role

Our Inference team is responsible for building and maintaining the tools and systems that enable Microsoft AI researchers to run models easily and efficiently. Our work empowers researchers to run models in RL, synthetic data generation, evals, and more. We are joint stewards of one of the largest compute fleets in the world. The team is responsible for optimizing compute efficiency on our heterogeneous data centers as well as enabling cutting-edge research and production deployment. We are an applied research team that is embedded directly in Microsoft AI’s research org to work as closely as possible with researchers. We are vertically integrated, owning everything from kernels to architecture co-design to distributed systems to profiling and testing tools.

Accountabilities

• Work alongside researchers and engineers to implement frontier AI research ideas.
• Introduce new systems, tools, and techniques to improve model inference performance.
• Build tools to help debug performance bottlenecks, numeric instabilities, and distributed systems issues.
• Build tools and establish processes to enhance the team’s collective productivity.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.
• Python and Python ecosystem (eg. uv, pybind/nanobind, FastAPI) expertise.

Personal attributes:

• Results-oriented, have a bias toward action, and enjoy owning problems end-to-end.
• Embody our Culture and Values.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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Microsoft AI are looking for a talented Member of Technical Staff, LLM Inference to join their team in Redmond. This role will involve working alongside researchers and engineers to implement frontier AI research ideas and introduce new systems, tools, and techniques to improve model inference performance.

About the Role

As a Member of Technical Staff, LLM Inference, you will be responsible for building and maintaining the tools and systems that enable Microsoft AI researchers to run models easily and efficiently. This will involve working on a variety of tasks, including building tools to help debug performance bottlenecks, numeric instabilities, and distributed systems issues. You will also be responsible for building tools and establishing processes to enhance the team's collective productivity.

Accountabilities

• Work alongside researchers and engineers to implement frontier AI research ideas
• Introduce new systems, tools, and techniques to improve model inference performance
• Build tools to help debug performance bottlenecks, numeric instabilities, and distributed systems issues
• Build tools and establish processes to enhance the team's collective productivity

The Candidate we're looking for

Experience:

• 6+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

Technical skills:

• Experience with generative AI
• Experience with distributed computing
• Python and Python ecosystem (eg. uv, pybind/nanobind, FastAPI) expertise

Personal attributes:

• Results-oriented, have a bias toward action, and enjoy owning problems end-to-end

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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Microsoft AI are looking for a talented Member of Technical Staff, LLM Inference to join their MAI Superintelligence Team. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI research and development. You'll work directly with leadership to shape the company's direction in the AI and machine learning markets.

About the Role

Our Inference team is responsible for building and maintaining the tools and systems that enable Microsoft AI researchers to run models easily and efficiently. Our work empowers researchers to run models in RL, synthetic data generation, evals, and more. We are joint stewards of one of the largest compute fleets in the world. The team is responsible for optimizing compute efficiency on our heterogeneous data centers as well as enabling cutting-edge research and production deployment. We are an applied research team that is embedded directly in Microsoft AI’s research org to work as closely as possible with researchers. We are vertically integrated, owning everything from kernels to architecture co-design to distributed systems to profiling and testing tools.

Accountabilities

• Work alongside researchers and engineers to implement frontier AI research ideas.
• Introduce new systems, tools, and techniques to improve model inference performance.
• Build tools to help debug performance bottlenecks, numeric instabilities, and distributed systems issues.
• Build tools and establish processes to enhance the team’s collective productivity.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.
• Python and Python ecosystem (eg. uv, pybind/nanobind, FastAPI) expertise.

Personal attributes:

• Results-oriented, have a bias toward action, and enjoy owning problems end-to-end.
• Value clear communication, improving team processes, and being a supportive team player.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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Microsoft AI are looking for a talented Software Engineer at their Beijing office. This role sits at the heart of building our core cloud platform. You'll work directly with the ObjectStore team to shape the company's direction in cloud infrastructure.

About the Role

The ObjectStore team – part of the Bing Fundamentals organization, is hiring a Backend Software Engineer II in Beijing, China to help build our core cloud platform. Today more than ever, cloud services empower people around the world to achieve more. Behind every innovative experience is a critical layer of cloud infrastructure that brings these services to life. ObjectStore provides the core serving platform that powers Bing and has expanded to support key Microsoft products including Azure, Office, SharePoint, Microsoft Teams, and more. It supports end-user scenarios such as web search, social discovery, local deal exploration, and personal assistants. ObjectStore now operates over 10,000+ storage tables worldwide, serving 350+ partner teams across the company. Over time, ObjectStore has evolved from a low-latency key-value store into a rich, feature-complete serving platform. It now supports secondary indexing, full-text search, machine-learning inference, graph traversal, and general computation hosting. We learn from—and compete with—leading NoSQL, indexing, graph, and deep-learning serving technologies in the industry. These domains represent some of the most exciting and impactful areas in modern cloud infrastructure.

Accountabilities

• Conduct in-depth market research across cinema and simulation sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Develop and maintain high-quality, scalable, and efficient software components for the ObjectStore platform

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field
• 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

Technical skills:

• Experience in search system is a plus
• Experience in distributed key-value store or inverted-index is a plus
• Experience in debugging and profiling production distributed systems is a plus

Personal attributes:

• A passion for distributed platform development
• Able to quantitatively evaluate, implement and verify a solution in a distributed environment, using simulation, testing, counters, logging, and other methodologies

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development

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Microsoft AI are looking for a talented Software Engineer at their Suzhou office. This role sits at the heart of building our core cloud platform, turning market data into actionable insights for a company that's revolutionising cloud services. You'll work directly with leadership to shape the company's direction in the cloud infrastructure market.

About the Role

The ObjectStore team – part of the Bing Fundamentals organization, is hiring a Backend Software Engineer II in Beijing, China to help build our core cloud platform. Today more than ever, cloud services empower people around the world to achieve more. Behind every innovative experience is a critical layer of cloud infrastructure that brings these services to life. ObjectStore provides the core serving platform that powers Bing and has expanded to support key Microsoft products including Azure, Office, SharePoint, Microsoft Teams, and more. It supports end-user scenarios such as web search, social discovery, local deal exploration, and personal assistants. ObjectStore now operates over 10,000+ storage tables worldwide, serving 350+ partner teams across the company. Over time, ObjectStore has evolved from a low-latency key-value store into a rich, feature-complete serving platform. It now supports secondary indexing, full-text search, machine-learning inference, graph traversal, and general computation hosting. We learn from—and compete with—leading NoSQL, indexing, graph, and deep-learning serving technologies in the industry. These domains represent some of the most exciting and impactful areas in modern cloud infrastructure.

Accountabilities

• Conduct in-depth market research across cloud infrastructure sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Develop and maintain high-quality, scalable, and efficient software components that meet the needs of our customers and partners

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field
• 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

Technical skills:

• Experience in search system is a plus
• Experience in distributed key-value store or inverted-index is a plus
• Experience in debugging and profiling production distributed systems is a plus

Personal attributes:

• A passion for distributed platform development
• Able to quantitatively evaluate, implement and verify a solution in a distributed environment, using simulation, testing, counters, logging, and other methodologies

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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What you'll do

• Contribute to the design, development, and validation of the complex software that drives ZeBu emulation and prototyping products.
• Oversee software projects from specification to internal delivery, then documentation and support.
• Challenge yourself and others for delivering the best products performance, while staying focused on the end-user experience.
• Align with the company processes for delivering quality software in a timely manner.
• Work on R&D projects involving different hardware, firmware and software teams, some based locally as well as some located in Europe, India, and North America.

What you need

• At least 7 years of professional experience in software development.
• MS or PhD, in Computer Science or Computer Engineering
• Knowledge of EDA domain or experience in EDA tool development
• Solid software engineering skills (specification, design, development, unit/integration tests, optimization, maintenance).
• Proficient C/C++ programming skills, including object-oriented design.
• Sound data structures and algorithms understanding, specifically graph algorithms
• Solid analysis and problem-solving.
• Experienced in Linux based environment (shell, makefile).
• Ability to manage several tasks autonomously and address projects with schedule constraints.
• Knowledge of Boolean Logic and Combinational Circuit
• Exposure to Timing OR Clock Algorithms would be an advantage, but is not essential

Nice to have knowledge or experience:

• Experience with development and troubleshooting of multi-threaded/process software.
• Experience with debug and profiling (Gdb, Collect, Vtune, or any equivalent tool).
• Scripting languages (Bash, Tcl, Python, Perl).

The Impact You Will Have:

• Accelerating the development of cutting-edge EDA tools that power innovations in CPUs, AI accelerators, and advanced SoCs.
• Enabling our customers to achieve faster time-to-market through robust and high-performing verification solutions.
• Driving cross-functional collaboration between global teams, fostering knowledge sharing and technical excellence.
• Enhancing the reliability and scalability of Synopsys’ flagship hardware-assisted verification products.
• Shaping the future of chip design by contributing to the evolution of next-generation computing systems.
• Mentoring and inspiring colleagues, setting new standards for technical achievement and teamwork.

The Team You’ll Be A Part Of:

You will join a world-class, international R&D engineering team at Synopsys, renowned for driving innovation in hardware-assisted verification. The team is composed of experts in software, hardware, and firmware, collaborating across continents to deliver industry-leading solutions. Together, you’ll tackle ambitious projects that shape the future of chip design and verification, leveraging collective expertise and a supportive, inclusive culture.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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What you'll do

• Develop and execute a comprehensive patent portfolio strategy for Perplexity's core technologies, including AI search, retrieval-augmented generation, ranking systems, and enterprise AI infrastructure.
• Lead patent harvesting efforts by conducting regular invention disclosure sessions and working closely with engineering, research, and product teams to identify patentable innovations early in the development cycle.

What you need

• A technical undergraduate degree (or equivalent experience), preferably a CE or Computer Science degree.
• 10+ years of relevant experience including experience as in-house counsel in patent preparation and prosecution, strategic portfolio development, foreign filing, and licensing.

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What you'll do

• Improve the quality and visual standards for lighting to achieve Art Direction's visual targets across characters, environments, and gameplay modes.
• Create high-quality, real-time lighting solutions using physically based rendering within a proprietary engine.

What you need

• 4+ years of production experience as a Lighting Artist on shipped titles, from pre-production through final delivery on a AAA title.

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What you'll do

• Analyse and optimise memory and performance in systems that need to be scaled from small systems to mobile systems.
• Ensure that the technical approach proposed for a specific feature meets both surface-level requirements and deeper programming requirements.
• Propose and develop necessary changes to the system to ensure reliability and work with game teams to integrate these changes.
• Create tools to automate and validate performance in systems where performance is critical.

What you need

• Experience in professional game development and launching AAA titles.
• A sharp analytical mind with strong problem-solving skills.
• Strong skills in C++ and the ability to code and create game systems and tools.
• Familiarity with scripting systems such as Blueprint, Lua, Python, etc.
• Experience with console and mobile devices is preferred.
• Experience in profiling and optimising performance.
• Experience with the Unreal Engine is highly preferred.
• Experience with live service games is preferred.

Benefits

• We pay 100% of benefits for both employees and dependents.
• Our current benefits package includes medical, dental, and life insurance coverage.
• We also offer complementary benefits, including daily meal vouchers and transportation benefits for local employees.

About Us

Epic Games has a global presence with 25 countries, 46 studios, and over 4,500 employees worldwide. For over 25 years, we have created award-winning games and technology that enables others to create visually stunning and interactive 3D content. Our Unreal Engine technology not only provides game developers with the ability to create high-fidelity interactive experiences for PC, console, mobile, and VR, but it is also a tool adopted by content creators in various industries, such as media and entertainment, automotive, and architecture.

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What you'll do

You will lead and inspire a team of top-tier engine programmers to develop and maintain state-of-the-art engine features and systems. You will collaborate cross-functionally to ensure our engine technologies seamlessly integrate into our ambitious projects.

What you need

• Strong C++ knowledge
• Strong debugging skills, understanding of memory management, multi-threaded coding
• Experience with large engines and complex pipelines
• Experience with profiling & optimization

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What you'll do

• Optimise iteration times and improve existing systems in terms of performance, memory usage, and user experience
• Develop custom tools and processes for other programmers and content creators

What you need

• Excellent C++ skills
• Ease in writing multithreaded code and ability to reason about dependency graphs as well as content processes for large-scale games

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What you'll do

• Analyze and resolve stability and performance problems of Fortnite on a wide range of PC hardware configurations;
• Monitor stability and performance data from Fortnite releases and improve Unreal Engine's systems and applications in Fortnite-specific use cases;
• Work with GPU vendors and other partners to resolve technical issues and collaborate on improving underlying technologies, such as graphics drivers for Fortnite and Unreal Engine;
• Assess performance data across various hardware and improve Unreal Engine's rendering systems and applications in Fortnite-specific use cases;
• Collaborate with a variety of other Epic teams, such as Unreal Engine's Rendering Architecture team, to help them solve complex technical challenges in ways that move the stability and quality of Fortnite and our internal products forward

What you need

• Strong C++ knowledge and multi-threaded programming techniques;
• Real-time rendering experience in the games industry or for the computer graphics industry: knowledge of at least one graphics API (DirectX 12 preferred) and a general understanding of modern graphics API architecture;
• Experience in profiling and optimizing a large codebase;
• Demonstrated ability to reason about and debug large, interacting systems from the macro-level to the micro-level;
• Experience with OS-level systems, Windows APIs, and common frameworks is a plus

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What you'll do

• Analyze and resolve stability and performance problems of Fortnite on a wide range of PC hardware configurations;
• Monitor stability and performance data from Fortnite releases and improve Unreal Engine's systems and applications in Fortnite-specific use cases;
• Work with GPU vendors and other partners to resolve technical issues and collaborate on improving underlying technologies, such as graphics drivers for Fortnite and Unreal Engine;
• Assess performance data across various hardware and improve Unreal Engine's rendering systems and applications in Fortnite-specific use cases;
• Collaborate with a variety of other Epic teams, such as Unreal Engine's Rendering Architecture team, to help them solve complex technical challenges in ways that move the stability and quality of Fortnite and our internal products forward.

What you need

• Strong C++ knowledge and multi-threaded programming techniques;
• Real-time rendering experience in the games industry or for the computer graphics industry: knowledge of at least one graphics API (DirectX 12 preferred) and a general understanding of modern graphics API architecture;
• Experience in profiling and optimizing a large codebase;
• Demonstrated ability to reason about and debug large, interacting systems from the macro-level to the micro-level;
• Experience with OS-level systems, Windows APIs, and common frameworks is a plus.

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What you'll do

• Work closely with art and design to ensure that UI meets aesthetic and functional requirements
• Attend to every detail, especially with regard to compliance, layout, and design
• Optimize and fixing bugs in existing UI systems

What you need

• Firm grasp of C++ / tech fundamentals
• Unreal Engine development experience
• Profiling and optimization skills for mobile

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What you'll do

• Lead a team that maintains, optimises and enhances the cloud engine technology behind UEFN
• Be a vision holder for our medium and long term UEFN pipeline development strategy
• Be responsible for live operational management of the UEFN cloud engine pipeline

What you need

• Proven experience leading an engineering team
• Experienced C++ engineering skills

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What you'll do

• Direct and lead a team of technical artists focused on creating optimized and high-quality visuals for mobile and multi-platform experiences; collaborate with art, design, and programming teams to find the right balance between visual fidelity, performance, and production efficiency

What you need

• Experience in directing or supervising technical art for real-time projects on mobile or multi-platforms

Why this matters

As a Director, Art Technical, you will play a critical role in shaping the visual direction of Epic Games' mobile experiences, ensuring that they are engaging, immersive, and of the highest quality.

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What you'll do

• Design new features or additions to existing features.
• Work with designers to gather requirements and propose solutions.
• Implement a feature's logic, game flows, and screens.
• Collaborate with a large team of other engineers.

What you need

• 5+ years of C++ software development.
• 1+ years of technical leadership experience.
• Knowledge of data-driven and object-oriented design.
• Knowledge of design patterns, such as MVVM.
• Proficiency with debugging and profiling tools.
• Experience with version control systems.
• Experience architecting and implementing complex systems within a large codebase.

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What you'll do

• Work with other engineers across the game team to integrate, develop and debug core technologies and features in a large codebase, merging modern and legacy designs across multiple hardware architectures.
• Manage and optimize memory, load times, and performance.
• Debug a range of defects in development environments.
• Look for ways to increase team efficiency through automation, tooling, or workflow enhancements.
• Contribute to core EA technologies to promote collaborative development efforts.
• Work with technical and non-technical co-workers to create practical technical designs that meet players' expectations.

What you need

• 3+ years of C++ development experience.
• Ability to learn, test, debug, and extend other software engineer's code.
• Knowledge of software engineering and architectural design.
• Understanding of memory management, file systems, multi-core processing, and performance.
• Experience with profiling tools to monitor and diagnose issues.
• Experience with build systems, pipelines, and source control.
• Experience with codebases supporting multiple compilers and architectures.
• Experience communicating and collaborating with external team members or teams.
• Experience integrating and maintaining large-scale systems and legacy codebases, covering multiple disciplines.
• Experience with multiple programming languages (Python, Lua, C#).

Why this matters

As a Systems Software Engineer, you will play a critical role in shaping the future of interactive entertainment and creating the next great EA SPORTS game.

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What you'll do

You will maintain asset pipelines and workflows, troubleshoot technical issues for artists within production timelines, assist with project setup and asset integration, develop tools and automation to streamline processes, resolve inefficiencies in pipelines, document best practices for tools, integration, and production, ensure assets meet performance and technical standards, collaborate with external vendors on asset delivery and integration, develop and debug shaders; support rendering pipeline improvements, and support artists in using internal tools and workflows.

What you need

• 3+ years of experience as a Shader/Technical Artist in games or film
• Shipped at least one AAA game or major film
• Familiar with game production workflows and asset pipelines
• Experience with Unreal Engine, Unity, or similar engines
• Grasp of 3D math, rendering pipelines, and performance profiling
• Experience with shader development (HLSL, Renderman, or visual shader tools)
• Proficient with Maya, 3ds Max, ZBrush, and Substance tools
• Comfortable with Python or visual scripting; knowledge of C#, JavaScript, or SQL
• Experience with version control (Perforce), ShotGrid, and shell scripting
• Understanding of modeling, texturing, animation, and rigging

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What you'll do

As Software Engineer in Razer Gold, you will support and participate in the overall system design, development and play a key role in the Razer Gold Engineering team. You will be reporting to the Head of Software Engineering in Razer Gold and working very closely with other engineering functions, product managers and various business stakeholders to participate in the system modernization efforts.

• Proactively drive the research and implementation of the Razer Gold core system.
• Engaging with Product and various partner teams for business and technical requirements.
• Driving the review of the technical design and implementation of the team.
• Setting example by building high-quality code with unit test and automation test.
• Stay on top of any critical issues and drive to the finish line.
• Working with the team to migrate the existing system to a new tech stack

What you need

• BA/BS/MSc in Computer Science, Math, Physics, or other technical fields.
• At Least 1 year Experience in E-Commerce Java based core system design and implementation
• Experience in building highly scalable, high availability online system.
• Experience in implementing test automation and performance test
• Hands-on experience in JVM tuning and heap dump analysis. Good understanding of GC mechanisms and familiarity of Java profiling is a huge plus.
• Experience in DB system, especially Microsoft SQL Server and MySQL DB.
• Experience with one of major public cloud services is a huge plus, especially AWS

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What you'll do

As Senior Software Engineer in Razer Gold, you will support and participate in the overall system design, development and play a key role in the Razer Gold Engineering team. You will be reporting to the Head of Software Engineering in Razer Gold and working very closely with other engineering functions, product managers and various business stakeholders to participate in the system modernization efforts.

• Proactively drive the research and implementation of the Razer Gold core automation system.
• Engaging with Product and various partner teams for business and technical requirements.
• Driving the review of the technical design and implementation of the team.
• Setting example by building high-quality code with unit test and automation test.
• Stay on top of any critical issues and drive to the finish line.
• Working with the team to migrate the existing system to a new tech stack

What you need

• BA/BS/MSc in Computer Science, Math, Physics, or other technical fields.
• At least 5 year of experience in E-Commerce Java based core system design and implementation
• Experience in building highly scalable, high availability online system.
• Experience in implementing test automation and performance test
• Hands-on experience in JVM tuning and heap dump analysis. Good understanding of GC mechanisms and familiarity of Java profiling is a huge plus.
• Experience in DB system, especially PostgreSQL and MySQL DB.
• Experience with one of major public cloud services is a huge plus, especially AWS

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What you'll do

As Senior Software Engineer in Razer Gold, you will support and participate in the overall system design, development and play a key role in the Razer Gold Engineering team. You will be reporting to the Head of Software Engineering in Razer Gold and working very closely with other engineering functions, product managers and various business stakeholders to participate in the system modernization efforts.

• Proactively drive the research and implementation of the Razer Gold core automation system.
• Engaging with Product and various partner teams for business and technical requirements.
• Driving the review of the technical design and implementation of the team.
• Setting example by building high-quality code with unit test and automation test.
• Stay on top of any critical issues and drive to the finish line.
• Working with the team to migrate the existing system to a new tech stack

What you need

• BA/BS/MSc in Computer Science, Math, Physics, or other technical fields.
• At least 5 year of experience in E-Commerce Java based core system design and implementation
• Experience in building highly scalable, high availability online system.
• Experience in implementing test automation and performance test
• Hands-on experience in JVM tuning and heap dump analysis. Good understanding of GC mechanisms and familiarity of Java profiling is a huge plus.
• Experience in DB system, especially PostgreSQL and MySQL DB.
• Experience with one of major public cloud services is a huge plus, especially AWS

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