This position requires a strong analytical mindset, the ability to work independently with a high level of accountability, and a hands-on approach to technical execution. The consultant will collaborate closely with functional and technical teams to translate business requirements into scalable and efficient SAP solutions. Building strong client relationships and supporting business growth initiatives are also key aspects of this role.

Key Responsibilities:

• Design, develop, and implement SAP EWM solutions using ABAP on HANA
• Translate business requirements into technical designs and scalable solutions
• Perform code development, testing, integration, and performance optimization
• Ensure adherence to coding standards, technical guidelines, and best practices
• Conduct technical analysis, estimations, and solution design
• Work closely with cross-functional teams (e.g., MM, SD, EWM) to ensure seamless integration
• Support and optimize inbound/outbound interfaces (ALE/EDI, IDocs, RFCs)
• Perform debugging, performance tuning, and system optimization using tools such as SQL Trace and Runtime Analysis
• Contribute to technical documentation, reviews, and knowledge sharing
• Support ongoing system improvements and enhancements in S/4HANA and ECC environment

Qualifications:

• Bachelor’s or Master’s Degree in Computer Science, Information Systems, Engineering, or related field
• 5+ years of experience in SAP ABAP development
• Proven experience working with SAP EWM development and processes
• Strong experience with ABAP Reports, ABAP Objects, OO ALV, Adobe Forms, Function Modules, BADIs, BAPIs, BOPF
• Experience with SAP ECC 6.0 and S/4HANA (ABAP on HANA)
• Solid experience in debugging, performance tuning, and transport management
• Experience integrating SAP systems via IDocs, ALE/EDI, RFCs
• Experience working in full-cycle SAP implementations or support projects

Nice-to-have:

• SAP certification in ABAP or EWM
• Experience with OData services
• Knowledge of qRFC, MFS, or advanced EWM functionalities

Good to know

• Location: Remote across Mexico or hybrid (Guadalajara-based candidates preferred)
• Contract type: Unlimited
• Start date: Flexible
• Working time: Full-time
• Consulting experience is a plus

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As a Staff Security Engineer, you will design and implement scalable triage, prioritization, and remediation-tracking systems across application, infrastructure, and hardware domains. You will set technical standards, drive high-impact initiatives, and mentor engineers through technical leadership, while partnering with leadership on priorities and execution risks.

Key Responsibilities:

• Lead high-complexity VM technical initiatives and deliver architecture decisions for assigned program areas
• Design and build scalable triage automation, including integrations, decision logic, and production hardening
• Implement end-to-end workflow components from assessment and detection to ticket routing and remediation tracking
• Provide deep technical leadership on hardware-adjacent vulnerabilities (GPU firmware, DPU firmware/BlueField, and BMC surfaces)
• Act as senior technical responder for embargoed disclosures and zero-day events, coordinating with owner teams that deploy fixes
• Improve prioritization logic, severity models, and exception workflows through code, design reviews, and technical proposals
• Produce actionable technical metrics and risk insights for leadership consumption
• Lead root-cause analysis for high-impact vulnerability incidents and implement durable technical improvements
• Mentor IC3/IC4/IC5 engineers through design guidance, code review, and incident coaching
• Partner with security, engineering, and operational stakeholders to improve workflow reliability and accelerate remediation outcomes

Requirements:

• 9+ years of relevant experience with demonstrated strategic impact in vulnerability management, application security, platform security, or cloud security engineering
• Proven track record building and scaling security automation (SOAR workflows, AI/ML systems, detection pipelines) in production environments
• Deep subject matter expertise with vulnerability management best practices: CVSS, EPSS, CISA KEV, threat intelligence integration, and risk-based prioritization frameworks
• Excellent development background with strong coding skills in Python, Go, or similar languages for building scalable, production-grade security systems
• Significant experience with modern vulnerability management tooling (for example Wiz, Semgrep, Rapid7, Tenable, or equivalent)
• Experience with specialized infrastructure: GPU/DPU environments, firmware security, hardware vulnerabilities, or high-performance computing
• Demonstrated track record mentoring engineers across levels and driving cross-functional technical initiatives at organizational scale
• Strong business acumen and understanding of how security decisions impact engineering velocity, customer trust, and business outcomes

Preferred Qualifications:

• Practical experience building AI/ML-powered security systems (LLM integration, automated decision-making, human-in-the-loop validation) in production
• Experience managing hardware vendor security partnerships (embargoed disclosures and pre-release collaboration)
• Production experience with security automation platforms such as TINES and serverless frameworks (AWS Lambda, GCP Cloud Functions)
• Strong DevOps, DevSecOps, or SRE background with deep experience in AWS/GCP/Azure cloud services and Infrastructure as Code (Terraform, CloudFormation)
• Deep understanding of Kubernetes security (container scanning, admission controllers, supply chain security, runtime protection)
• Experience leading security programs through rapid hypergrowth (10x+ infrastructure scaling) in startup or cloud-native environments
• Practical experience managing vulnerabilities within a FedRAMP-certified environment or similar regulatory frameworks

Salary and Benefits: The base salary range for this role is $188,000 to $275,000. 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).

Work Environment:

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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Your responsibilities will include developing monitoring techniques and observability methods, researching mechanisms for layered control, and designing red-team simulations to probe weaknesses in oversight and control mechanisms.

To succeed in this role, you'll need a strong background in machine learning, particularly in generative AI, and at least three years of experience addressing sophisticated ML problems. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes.

In addition to your technical expertise, you'll need strong written and verbal communication skills to operate in a cross-functional team.

This role offers a competitive salary range of $216,000-$270,000 USD, depending on location and experience, as well as equity-based compensation and benefits, including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

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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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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

We were named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company.

Available Locations:

Remote in US and Europe

Principal VM Engineer – Workers Runtime Team

About the Department

The Emerging Technologies & Incubation (ETI) team at Cloudflare builds and launches bold, new products that push the boundaries of what's possible on the internet. By leveraging Cloudflare's massive network and edge computing capabilities, we solve complex problems at a scale few others can achieve.

About the Team

The Workers Runtime team is responsible for the execution environment that runs customer code at the edge. We focus on performance, security, and scalability, enhancing JavaScript APIs, WebAssembly support, and system optimizations to prepare for the next 10x scale increase. Our runtime operates in a resource-constrained, highly secure environment, requiring careful management of memory, CPU, and I/O.

What You'll Do

We are looking for a VM Engineer to help improve and embed the V8 virtual machine in our runtime. You'll work on low-level optimizations, performance enhancements, garbage collection, and language support to ensure our platform remains cutting-edge. This role is ideal for engineers who love tackling high-performance, low-latency challenges in distributed environments.

Key Responsibilities

• Optimize and embed the V8 VM within Cloudflare's Workers Runtime.
• Improve JavaScript execution performance and WebAssembly integration.
• Debug, optimize, and enhance low-latency, real-time environments.
• Ensure the reliability and efficiency of large-scale, Linux-based distributed systems.
• Collaborate with engineers across runtime, security, and networking teams to push the boundaries of edge computing.

What We're Looking For

• 6+ years of professional experience with C++.
• 4+ years of hands-on VM/compiler experience, ideally with V8.
• Strong knowledge of computer science fundamentals, including data structures, algorithms, and system architecture.
• Experience with low-latency environments (e.g., game streaming, trading systems, high-performance computing).
• Operational mindset – you build scalable, production-ready solutions.
• Deep understanding of web technologies (HTTP, JavaScript, WASM).

Bonus Points

• Experience working with Rust in high-performance distributed systems.
• Familiarity with serverless platforms and cloud computing.
• Deep knowledge of JS engine internals (V8, SpiderMonkey, JavaScriptCore).
• Experience with standalone WebAssembly runtimes (Wasmtime, Wasmer, Lucet).
• Strong expertise in Linux/UNIX systems, kernels, and networking.
• Contributions to large open-source projects.

This is an exciting opportunity to work on cutting-edge compiler and runtime technologies at an unmatched scale. If you're passionate about high-performance computing, distributed systems, and compilers, we’d love to hear from you!

## ##

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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You will define and execute the technical strategy for infrastructure reliability and scalability, build and maintain the automation, observability, and control planes that keep multi-datacenter, hybrid cloud/on-prem environments healthy, lead incident response, deep-dive root cause analysis, and post-mortems that drive real fixes, identify, instrument, and eliminate systemic failure patterns, design and implement high-leverage systems software in Python and Rust, and push the state of the art in large-scale GPU cluster operations and AI workload reliability.

To succeed in this role, you will need 5+ years shipping production software and/or operating distributed infrastructure at scale, expert-level knowledge of Linux systems, TCP/IP networking, and systems programming, strong coding skills with proven production experience in Rust (strongly preferred) and at least one of Python, Go, or C++, deep experience with large-scale distributed systems in on-prem and cloud environments, hands-on expertise with container orchestration, container runtimes, and infrastructure-as-code, intimate understanding of common failure modes in distributed systems and how to mitigate them, and a track record of participating in (or building) effective on-call rotations in high-stakes environments.

In addition to a competitive base salary, you will receive 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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The impact you will have:

• Lead and grow an engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.
• Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.
• Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Extensive experience building and maintaining distributed systems.
• Security first mindset.
• Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.
• Motivated by delivering customer value and impact.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

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This role is essential for keeping our most contended infrastructure teams shipping effectively while Research, Product, and Safety all depend on their output.

Responsibilities:

• Systems Integration & Coordination: Lead cross-functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams. Drive end-to-end planning for major infrastructure transitions including platform modernization and new tech adoption.

• Performance & Efficiency: Partner with engineering teams to identify optimisation opportunities, track performance metrics, and prioritise work that unlocks capacity gains. Coordinate across runtime and accelerator layers to ensure efficiency wins ship without compromising reliability.

• Launch Coordination: Drive end-to-end readiness for model and feature launches across multiple hardware platforms. Establish processes for cross-platform validation, manage launch timelines, and ensure smooth handoffs between runtime, accelerator, and downstream teams.

• Strategic Planning: Own and prioritise the inference deployment roadmap, working closely with engineering leadership to prioritise initiatives and manage dependencies. Provide visibility into upcoming changes and their organisational impact.

• Stakeholder Communication: Build strong relationships across research, engineering, and product teams to understand requirements and constraints. Translate technical complexities into clear updates for leadership and ensure alignment on priorities and timelines.

• Process Improvement: Identify inefficiencies in current workflows and drive systematic improvements. Establish metrics and dashboards to track infrastructure health, capacity utilisation, and deployment success rates.

You may be a good fit if you:

• Have several years of experience in technical program management, with proven success delivering complex infrastructure programs, preferably in ML/AI systems or large-scale distributed systems

• Have deep technical understanding of inference systems, compilers, or hardware accelerators to engage substantively with engineers and identify technical risks.

• Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives

• Have strong stakeholder management skills and can build trust with both technical and non-technical partners

• Are comfortable navigating competing priorities and using data to drive technical decisions

• Have experience with infrastructure scaling initiatives, hardware integrations, or deployment governance

• Thrive in fast-paced environments and can balance strategic planning with tactical execution

• Are passionate about AI infrastructure and understand the unique challenges of deploying and scaling large language models

Deadline to apply: None, applications will be received on a rolling basis.

The annual compensation range for this role is $290,000-$365,000 USD.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

Available Locations:

Austin, TX | Lisbon, Portugal | London, UK

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers.

Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

The Workers Runtime team delivers features and improvements to our Runtime which actually executes customer code at the edge. We care deeply about increasing performance, improving JS API surface area and compiled language support through WebAssembly, and optimizing to meet the next 10x increase in scale.

The Runtime is a hostile environment - System resources such as memory, cpu, I/O, etc need to be managed extremely carefully and security must be foundational in everything we do.

What you'll do

We are looking for a Systems Engineer to join our team. You will work with a team of passionate, talented engineers that are building innovative products that bring security and speed to millions of internet users each day.

You will play an active part in shaping product features based on what’s technically possible. You will make sure our company hits our ambitious goals from an engineering standpoint.

You bring a passion for meeting business needs while building technically innovative solutions, and excel at shifting between the two,understanding how big-picture goals inform technical details, and vice-versa.

You thrive in a fast-paced iterative engineering environment.

Examples of desirable skills, knowledge and experience

• At least 2 years of recent professional experience with C++ or Rust.
• Solid understanding of computer science fundamentals including data structures, algorithms, and object-oriented or functional design.
• An operational mindset - we don't just write code, we also own it in production.
• Deep understanding of the web and technologies such as web browsers, HTTP, JavaScript and WebAssembly.
• Experience working in low-latency real time environments such as game streaming, game engine architecture, high frequency trading, payment systems.
• Experience debugging, optimizing and identifying failure modes in a large-scale Linux-based distributed system.

Bonus Points

• Experience building high performance distributed systems in Rust.
• Experience working with cloud platforms, especially server-less platforms.
• Experience with the internals of JS engines such as V8, SpiderMonkey, or JavaScriptCore.
• Experience with standalone WebAssembly runtimes such as Wasmtime, Wasmer, Lucet, etc.
• Deep Linux/UNIX systems, kernel, or networking knowledge.
• Contributions to large open source projects

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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You will partner with product and engineering leadership to set strategy, priorities, and mission for teams and projects. You will roll up your sleeves as needed to get involved in the technical details of solving some of the most complex technical challenges at Figma. You will establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization.

You will grow your career in an engaged and creative engineering community. Figma is committed to building an inclusive and diverse team and culture. We expect all of our leaders to play a role in helping to build and drive these initiatives through hiring, community events, and other programs in partnership with teams across all of Figma.

To be successful in this role, you will need 2+ years of experience managing and leading a high output engineering team, 5+ years of engineering experience working on complex systems with an emphasis on performance, reliability, quality, and extensibility. You will also need demonstrated leadership skills in building a high-performing and highly engaged engineering team; including a proven track record of motivating, mentoring, and guiding senior engineers.

Experience building performant animation and interaction frameworks, tooling, and foundations is a plus. Deep knowledge of runtime environments and how they operate, including game, application, or browser engines is also a plus. Experience with creative coding frameworks used for building interaction, animation, and time-based media experiences is a plus.

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Your responsibilities will include contributing to the roadmap for Applied Training, designing and building a complete research cluster experience, owning the Python SDK, and writing documentation for running popular OSS training frameworks on CoreWeave.

You'll work with infrastructure teams and customers directly, understanding how they structure their internal supercomputing stacks and bringing that knowledge back to what we build.

As a staff software engineer, you'll have 8-12+ years of experience building distributed systems, ML infrastructure, or developer platforms, with real Kubernetes experience and a passion for rigorous engineering enabled by AI-based workflows.

You'll be a good communicator, able to work with customers, translate researcher complaints into system designs, and contribute to the growth and success of our team.

If you're excited about this opportunity, please apply!

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company.

Available Locations: Austin

Role Summary

Back in 2014, Cloudflare launched Universal SSL to provide all of our customers with the security of encrypted traffic between visitors and Cloudflare's network. On the day we flipped the switch, we doubled the amount of sites using SSL/TLS on the internet. Since then, we've been working on providing even more ways to encrypt traffic easier and more effectively.

To better serve our customers, we're constantly improving our systems for issuing, managing, and deploying TLS certificates. By joining Cloudflare's SSL/TLS Team, you can help ensure that every site owner has the ability to provide their users with a secure connection. Your code will help ensure millions of websites have access to encryption. As such, the results of your code will be felt by millions of site owners and billions of visitors every day.

We're continuously providing technology to site owners that was previously only available to the largest organizations. Your contributions will help make the web a faster, safer, better, and more heavily encrypted place.

Cloudflare is looking for a Systems Engineer to help us build services with RESTful APIs and their own datastores using Go and other languages. You will also write and maintain functional specifications for your service, so others know how it works. In this role you will integrate multiple services via message queue systems and evaluate 3rd party and open source tools. You will design and implement alerts, write procedures for ops to handle such alerts, or serve as an escalation point for unresolved operational issues. You will also need to read and understand code from a legacy codebase to migrate logic to a modern services architecture and review the code of fellow engineers via pull requests.

We strive to build reliable, fault-tolerant systems that can operate at Cloudflare's scale.

Role Requirements (Must-Have Skills)

• 3+ years of professional experience building backend systems at a technology company

• Experience writing production-quality code in Go (or other languages with a willingness to learn Go)

• Proven experience building and operating distributed systems

• Proficiency with modern Unix/Linux development and runtime environments

• Strong debugging and troubleshooting skills with attention to detail

• Track record of delivering well-tested, reliable code for production environments

Desirable Skills, Knowledge, and Experience

• Experience designing and building RESTful APIs and full-stack applications

• Familiarity with PKI/TLS concepts and certificate management

• Experience writing technical documentation and specifications

• Working knowledge of SQL and relational databases such as PostgreSQL

• Understanding of distributed systems constraints: performance, caching, data storage/retrieval

• Experience with message queues (Kafka, RabbitMQ, etc)

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!

The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance

• Dental Insurance

• Vision Insurance

• Flexible Spending Accounts

• Commuter Spending Accounts

• Fertility & Family Forming Benefits

• On-demand mental health support and Employee Assistance Program

• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance

• Life & Accident Insurance

• 401(k) Retirement Savings Plan

• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave

• Leave programs, including parental, pregnancy health, medical, and bereavement leave

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.

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As a kernel generalist, you will be responsible for debugging kernel-level issues, analysing and fixing crashes, panics, dumps, and upstreaming fixes and features that improve the performance and reliability of our stack.

This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage.

Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet

Our Team's Stack:

• Python, Go, bash/sh, C

• Prometheus, Victoria Metrics, Grafana

• Linux Kernel (custom build), Ubuntu

• Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs

• Docker, kubernetes (k8s), KubeVirt, containerd, kubelet

Focus Areas:

• Kernel Debugging – Analyse kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes.

• Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement).

• Stack-Wide Support – Ensure kernel support and stability across:

• Virtualization (KubeVirt, QEMU, vFIO)

• Container runtimes (containerd, nydus, kubelet)

• HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand)

• Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs.

• Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.

About the role:

• Triage and fix kernel crashes and performance regressions.

• Develop, test, and upstream kernel patches relevant to CoreWeave’s hardware/software environment.

• Collaborate with hardware vendors and the Linux community on feature enablement.

• Implement diagnostics and tooling for kernel-level observability.

• Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads.

• Provide kernel-level expertise during incident response and root-cause investigations.

Who You Are:

• 5+ years of professional experience in Linux kernel engineering or systems-level development.

• Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers).

• Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump.

• Strong C programming skills with the ability to write maintainable and upstream-quality code.

• Experience working with kernel modules, drivers, and subsystems.

• Strong problem-solving abilities with a “full-stack” systems perspective.

Preferred:

• Contributions to the Linux kernel or related open-source projects.

• Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes.

• Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning).

• GPU/DPU bring-up and driver experience.

• Experience in HPC or large-scale distributed systems.

• Familiarity with QA/QE best practices

• Experience working in Cloud environments

• Experience as a software engineer writing large-scale applications

• Experience with machine learning is a huge bonus

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).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

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

Our 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.

California Consumer Privacy Act - California applicants only

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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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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.

We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work.

Okta's Workforce Identity Cloud Security Engineering group is looking for an experienced and passionate Staff Site Reliability Engineer to join a team focused on designing and developing Security solutions to harden our cloud infrastructure.

We encourage you to prescribe defence-in-depth measures, industry security standards and enforce the principle of least privilege to help take our Security posture to the next level.

Our Infrastructure Security team has a niche skill-set that balances Security domain expertise with the ability to design, implement, rollout infrastructure across multiple cloud environments without adding friction to product functionality or performance.

We are responsible for the ever-growing need to improve our customer safety and privacy by providing security services that are coupled with the core Okta product.

This is a high-impact role in a security-centric, fast-paced organisation that is poised for massive growth and success.

You will act as a liaison between the Security org and the Engineering org to build technical leverage and influence the security roadmap.

You will focus on engineering security aspects of the systems used across our services.

Join us and be part of a company that is about to change the cloud computing landscape forever.

As a Staff Engineer, you should be able to identify gaps, propose innovative solutions, and contribute to roadmaps while driving alignment across multiple teams within the organisation.

Additionally, you should serve as a role model, providing technical mentorship to junior team members and fostering a culture of learning and growth

What are we looking for?

We are looking for a security-first SRE engineer who doesn't just 'flag' issues but builds the automation to solve them.

You should have a deep-seated intuition for cloud-native security and a proven track record of hardening large-scale GCP and AWS environments.

As a Technical SME, you will design and build production infrastructure with a 'security-at-scale' mindset.

What You Will Work On?

Security Evangelism: Lead initiatives to strengthen our security posture for critical infrastructure and promote best practices across the engineering organisation.

Incident Response & Reliability: Respond to production security incidents, perform root cause analysis, and build automated preventions to ensure high performance and reliability.

Automated Hardening: Identify manual security processes and automate them using custom tooling and CI/CD integrations.

Architecture & Documentation: Develop technical documentation, runbooks, and procedures for a 24x7 online environment.

Platform Evolution: Continuously evolve our monitoring platforms, moving from simple auditing to active, automated prevention.

Minimum Required Knowledge, Skills, & Abilities:

Experience: 8+ years of experience architecting and running complex cloud networking and infrastructure, with at least 7+ years specialised in DevSecOps or Cloud Security.

GCP Expertise: Minimum 3+ years of deep, hands-on experience securing GCP (GKE, GCE, Shared VPC etc).

Infrastructure as Code (IaC): 10+ years of experience using Terraform and Chef to manage complex cloud resources and OS hardening.

Automation Mastery: Expert-level proficiency in Go, Python, or Ruby for building custom security tooling and automated remediation.

Hardened Containers: Proven track record of securing containerised workloads, including image scanning, K8s RBAC, and runtime security tools (e.g., CrowdStrike Falcon, Falco, or gVisor).

Unflappable Troubleshooting: A 'see a problem, fix the problem' mindset with the ability to debug complex networking, IAM, or performance issues under pressure.

Security Foundations: Strong grasp of Linux internals, OS hardening (CIS benchmarks), and IP protocols (TLS/SSL, DNSSEC, BGP).

Education: BS in Computer Science or equivalent professional experience.

Key Responsibilities:

IAM & Secrets Management: Design and maintain large-scale production IAM policies and secrets management workflows.

Infrastructure Hardening: Implement and maintain Public Key Infrastructure (PKI) and ensure all GCE/GKE environments meet strict compliance standards.

Operational Excellence: Utilise industry-standard tools like OSQuery, Splunk, Chronicle, Nessus, or Qualys/Crowdstrike to monitor system health and security telemetry.

Strategic Rollouts: Lead the phased transition of security policies from Audit/Detection mode to Blocking/Prevention mode, ensuring zero impact on production uptime.

Bonus Points For:

Multi-Cloud IAM Governance: Experience designing a unified IAM framework across AWS and GCP, utilising federated Identities such as Workload, Workforce Identity Federation with understanding of SAML & OIDC auth mechanism and automated 'Least Privilege' enforcement.

Cloud-Native Reliability Engineering: Deep understanding of multi-cloud reliability patterns, maintaining high availability (HA) during security patching or infrastructure-wide hardening.

Hardened Kubernetes Orchestration: Advanced experience securing GKE, EKS, and kOps, specifically implementing Pod Security Standards, Network Policies, and Admission Controllers for a 'Zero-Trust' posture.

Threat Modeling: Security Reviews & Threat Modeling at both Design & Implementation scope.

The Okta Experience - Supporting Your Well-Being - Driving Social Impact - Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/

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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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As a Staff Engineer, AI Security on the AppSec team, you'll lead autonomous defense for the AI lifecycle. Build multi-agent frameworks and secure gateways while integrating real-time security gates and identity standards. By mentoring Security and R&D to define the MLSecOps roadmap, you'll ensure a 'secure-by-default' future for agentic workflows and resilient AI innovation.

Responsibilities:

Serve as the primary subject matter expert for all AI and machine learning security initiatives across security and R&D.

Design and manage AI gateways to provide a centralized control plane for authentication and authorization and rate limiting across all model and tool interactions.

Build and maintain an autonomous security agentic framework that utilizes multi agent orchestration for end to end investigation and alert triage and remediation.

Develop agentic identity models using OAuth 2.1 to propagate identity across trust boundaries and prevent the confused deputy problem.

Help govern the AI augmented software development lifecycle by integrating real time security gates into the developer environment and CI/CD pipeline.

Manage Agentic Security Solutions that secure AI lifecycle and manage AI workloads at runtime.

Author company wide AI security standards and implement these security checks across Twilio's stack.

Implement human in the loop checkpoints and transactional safety protocols for high impact or destructive agentic actions.

Partner with engineering leadership to set the long term roadmap for identity centric security and automated posture management.

Act as a knowledge multiplier by mentoring security engineers and developing secure by default paved road templates for R&D teams

Qualifications:

8+ years of experience in security engineering with at least 3 years focused on AI or machine learning security operations (MLSecOps).

Expertise in orchestrating multi-agent systems with AWS Strands, LangGraph, and CrewAI, specializing in runtime isolation, PII redaction, and defending against indirect prompt injection in agentic environments.

Hands-on experience with AI-specific frameworks (e.g., MITRE ATLAS, MAESTRO, OWASP Top 10 for LLMs/Agents/MCP) to threat model and defend against a wide spectrum of risks, including direct/indirect prompt injection, training data poisoning, tool poisoning, and data exfiltration within agentic workflows.

Proficiency in securing end-to-end AI pipelines, from data ingestion and training to model deployment and monitoring.

Strong communication skills to translate complex AI risks into actionable business logic for stakeholders.

Desired:

Hands-on experience in modern application security tooling including SAST and SCA and DAST with experience adapting these tools to catch AI specific vulnerabilities like indirect prompt injection.

Expertise in identity standards including OAuth 2.1 and PKCE.

Experience with AI Red Teaming and conducting adversarial simulations against Large Language Models (LLMs) and agentic systems.

Proficiency in at least one general programming language (Python, Go, etc) with experience in container security and workload isolation.

Proven ability to operate with autonomy and drive high impact outcomes in ambiguous environments by identifying and executing on critical projects without predefined roadmaps or direct supervision.

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We are training some of the largest models in the world on the latest hardware across multiple environments. To do this reliably at xAI's pace, we need engineers who have battle-tested experience keeping massive distributed infrastructure up and running 24/7, including on-prem and cloud-based infrastructure.

You will own the availability, performance, and evolution of xAI's core compute, storage, and networking infrastructure. This is not an ops-only role , strong coding is a hard requirement. You will design, implement, and ship systems software, automation, and tooling in Python and/or Rust that directly impact training throughput and cluster utilization.

Responsibilities

• Define and execute the technical strategy for infrastructure reliability and scalability
• Build and maintain the automation, observability, and control planes that keep multi-datacenter, hybrid cloud/on-prem environments healthy
• Lead incident response, deep-dive root cause analysis, and post-mortems that drive real fixes
• Identify, instrument, and eliminate systemic failure patterns (capacity, network, hardware, storage, software)
• Design and implement high-leverage systems software (daemons, controllers, schedulers, etc.) in Python and Rust.

Basic Qualifications

• 5+ years shipping production software and/or operating distributed infrastructure at scale
• Expert-level knowledge of Linux systems, TCP/IP networking, and systems programming
• Strong coding skills with proven production experience in Rust (strongly preferred) and at least one of Python, Go, or C++.

Preferred Skills and Experience

• Significant contributions to large-scale GPU clusters or AI/ML infrastructure
• Experience in on-call rotations and incident response in high-stakes environments.

Compensation and Benefits

$180,000 - $400,000 USD

Base salary is just one part of our total rewards package at xAI, 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 provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues.

• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines.

• Documentation and white-boarding skills.

• Experience working with clients and managing conflicts.

• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

• Travel to customers 20% of the time

Databricks Certification 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 base 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. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $180,656-$248,360 USD

Zone 2 Pay Range $180,656-$248,360 USD

Zone 3 Pay Range $180,656-$248,360 USD

Zone 4 Pay Range $180,656-$248,360 USD

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Responsibilities:

• Build and manage massive-scale clusters to host, persist, train, and serve AI workloads with extreme reliability and performance.
• Design, develop, and extend an in-house container orchestration platform that achieves superior scalability, isolation, resource efficiency, and fault-tolerance compared to off-the-shelf solutions.
• Collaborate with research teams to architect and optimize compute clusters specifically for large-scale training runs, inference services, and real-time applications.
• Profile, debug, and resolve complex system-level performance bottlenecks, resource contention, scheduling issues, and reliability problems across the full stack.
• Own end-to-end infrastructure initiatives with first-principles design, rigorous testing, automation, and continuous optimization to support frontier AI compute demands.

Basic Qualifications:

• Deep expertise in virtualization technologies (KVM, Xen, QEMU) and advanced containerization/sandboxing (Kata, Firecracker, gVisor, Sysbox, or equivalent).
• Strong proficiency in systems programming languages such as C/C++ and Rust.
• Proven track record profiling, debugging, and optimizing complex system-level performance issues, with deep knowledge of Linux kernel internals, resource management, scheduling, memory management, and low-level engineering.
• Hands-on experience building or significantly enhancing distributed compute platforms, orchestration systems, or high-performance infrastructure at scale.

Preferred Skills and Experience:

• Experience in Linux kernel development, hypervisor extensions, or low-level system programming for compute-intensive workloads.
• Proven track record operating or designing large-scale AI training/inference clusters (GPU/TPU scale).
• Experience with custom runtimes, isolation techniques, or bespoke platforms for specialized AI compute.
• Familiarity with performance tools, tracing, and debugging in production distributed environments.

Compensation and Benefits:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, 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 work across engineering, business development, and customer programs to translate complex regulatory requirements into buildable products and ensure Hivemind becomes the definitive platform for certified autonomous systems. This role is central to Shield AI's expansion into regulated aviation markets internationally.

Responsibilities:

• Own the product strategy and roadmap for the capabilities that allow our customers to quickly fly on critical systems.
• Define and prioritise requirements for certifiable software components by collaborating with engineering teams, certification authorities, and key customers.
• Lead the development and adoption of our tooling for assured software.
• Partner with business development and engineering support teams to guide customer engagements from pre-commitment through authority approval, including safety case templates and certification guidance.
• Represent the Assured Foundations product externally through whitepapers, technical briefings, and concept reviews for customers, program managers, and certification authorities.
• Define and track success metrics such as certification milestone progress, SDK adoption, and engineering support utilisation to guide roadmap priorities.

Requirements:

• 7+ years of technical product management experience on safety-critical, embedded, or avionics software products.
• Working knowledge of aviation software certification standards (DO-178C, ML-HDBK 516C, ASTM F3269-21, or equivalent).
• Demonstrated ability to drive cross-functional alignment across engineering, business development, and external customers on complex, multi-year technical programs.
• Strong written and verbal communication skills, with the ability to translate highly technical material into clear value propositions for both engineering and executive audiences.

Preferred Qualifications:

• Experience with runtime assurance architectures, safety monitors, or formally verified software in autonomous or avionics systems.
• Background working with aviation OEMs, certification authorities, or program offices.
• Familiarity with real-time operating systems and deterministic middleware concepts including WCET analysis and static memory allocation.
• Prior experience owning traceability or test management tooling in a regulated development environment.
• Experience in international avionics markets.

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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 design, build, and scale the models and infrastructure needed to use Shield's simulation platform for qualified software validation efforts. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence.

Responsibilities

• Build and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++.
• Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.
• Implement scenario simulation tooling and formal test infrastructure.
• Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
• Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity.
• Perform verification & validation (V&V) analysis activities on model tools.
• Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI.
• Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering.

Requirements

• BS or MS in Computer Science, Aerospace, Robotics, or related field.
• 5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization.
• Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems.
• Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.
• Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments.

Preferences

• Understanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics.
• Familiarity with sensor and actuator modeling and integrating avionics or autonomy software within simulation.
• Working knowledge of Python for data analysis, test automation, or simulation orchestration.
• Ability to debug complex build and runtime environments (CMake, CPM, dependency management, logging, profiling tools).
• Strong collaboration and communication skills across software, hardware, and systems disciplines.

$125,000 - $200,000 a year

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You'll partner with Security, Platform, Core Experience, Protocols, and Compliance to ship secure-by-default capabilities that meet bank-grade and auditor expectations while preserving developer velocity and client experience. You will define and own the roadmap for security platform capabilities across cloud defense, secrets management, HSM-bound workflows, and secure-by-default developer tooling.

You'll translate regulatory, audit, and risk requirements into usable product surfaces and guardrails for internal teams and client-facing flows. You will also establish crisp product requirements, success metrics, and post-ship control evidence so Security, Risk, and Audit can verify effectiveness without slowing teams.

We have created the Factors of Growth & Impact to help Villagers better measure impact and articulate coaching, feedback, and the rich and rewarding learning that happens while exploring, developing, and mastering the capabilities and contributions within and outside of the Security Product Manager role:

Technical Skills:

• Work closely with the security engineering team on the detail prioritization of the security product roadmap, balancing new capability development with technical debt retirement to ensure long-term platform health.
• Demonstrate deep strategic thinking in shaping the roadmap, considering threat landscape, regulatory requirements, competitive positioning, and customer needs to drive long-term security product success.
• Deliver complex, cross-functional security projects with multiple dependencies (Security Engineering, Platform, Core Experience, Compliance), demonstrating strong product management skills and ability to drive swift execution while maintaining quality.
• Drive comprehensive go-to-market strategy for security capabilities, including defining success metrics, tracking KPIs, and iterating based on data-driven insights.

Complexity and Impact of Work:

• Contribute strategic insights that significantly impact company direction, control coverage, and the security roadmap.
• Demonstrate product leadership that elevates team performance and effectiveness across security and platform domains.

Organizational Knowledge:

• Develop deep understanding of Anchorage's business model, organizational structure, regulatory posture, and strategic priorities.
• Build and maintain strong relationships with stakeholders across Security, Engineering, Compliance, Risk, and Ops to ensure effective collaboration.
• Navigate and improve organizational processes to enhance efficiency, safety, and auditability across teams.
• Contribute to organizational strategy through security product expertise, control design insights, and market intelligence.
• Drive company objectives through strategic security product decisions and initiatives.

Communication and Influence:

• Effectively influence and motivate others through respectful engagement, aligning teams with broader organizational security and product goals.
• Enable cross-functional collaboration through clear, consistent communication and strategic influence on decision-making at every level of the organization.
• Communicate clearly with executives, auditors, and prospective customers on control intent, coverage, evidence, and roadmap tradeoffs.
• Act as a thoughtful knowledge partner to senior leadership, helping improve organizational security dynamics through empathetic understanding.

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

• 6+ years in product management with 3+ focused on platform or security products in regulated or high-assurance environments.
• Strong technical fluency in one or more: cryptographic primitives, authN/Z, HSMs and key management, secrets management, secure software delivery, runtime isolation, threat modeling.
• Proven record shipping platform controls that are both developer-friendly and audit-ready.
• Experience converting regulatory or control frameworks (e.g., SOC 2, FFIEC, OCC expectations, ISO 27001) into practical product requirements.
• Comfortable operating across deeply technical teams and non-technical stakeholders (Security, Compliance, Risk, Ops, Client Success).
• Excellent written and verbal communication skills, adept at conveying complex security concepts clearly to diverse audiences.
• Experience in driving and managing complex projects across multiple teams, demonstrating exceptional leadership and problem-solving skills.
• Your empathy and adaptability not only complement others' working styles but also embody our culture of curiosity, creativity, and shared understanding.
• You self describe as some combination of the following: creative, humble, ambitious, detail oriented, hard working, trustworthy, eager to learn, methodical, action oriented, and tenacious.

Although not a requirement, bonus points if:

• Experience in digital assets or financial infrastructure.
• Hands-on experience with hardware signing flows, policy engines, or secure enclave/HSM integrations.
• Built systems for straight-through-processing with pre-authorization risk decisions.
• Familiarity with incident response and detection engineering product needs.
• You have written your own smart contract or dApp.
• You have built 0 to 1 products for financial institutions either as a PM or a developer.

Additional Information About Anchorage Digital:

Who we are The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology.

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We currently have 614 open roles

Job Summary

You are a passionate and driven professional with a profound mastery of hardware-assisted verification (HAV), using emulation and FPGA prototyping methodologies, with a sharp focus on performance optimization. Your expertise covers the entire lifecycle of HW/SW product development, from early RTL verification to software bring up and platform delivery.

Responsibilities

• Drive advanced product capabilities and innovations in emulation runtime performance for industry-leading platforms.
• Engage in the full product lifecycle, from feature definition and implementation to rigorous testing, quality measurement, and customer deployment.
• Collaborate closely with internal stakeholders, including Application Engineering peers and R&D teams, to deliver superior outcomes for customers.
• Provide technical leadership and product evaluation support to key emulation customers across the globe.
• Lead comprehensive root cause analyses to resolve and prevent emulation performance bottlenecks.
• Ensure the highest standards of verification for SoC designs, contributing to the creation of robust and reliable products.

What You’ll Need

• Minimum 12+ years of experience in emulation methodology, spanning early RTL verification to software bring up.
• Proven expertise in verification, with a focus on System on Chip (SoC) design bring-up and validation.
• Comprehensive knowledge of the architecture of emulation / FPGA prototyping platforms and their eco-systems.
• A good understanding of the compilation and runtime flows on these emulation platforms.
• Demonstrated experience in using debug features of these emulation platforms, and in conducting root cause analysis for emulation runtime performance issues.

Benefits

• Competitive salary and benefits package
• Opportunities for career growth and professional development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance

Who You Are

• A collaborative team player who thrives in dynamic, fast-paced environments.
• Detail-oriented and analytical, with exceptional problem-solving skills.
• Curious, adaptable, and eager to embrace new challenges and responsibilities.
• An effective communicator, skilled at conveying complex technical information to diverse audiences.
• An innovative thinker with a passion for continuous improvement and learning.

The Team You’ll Be A Part Of

You’ll join the Product Engineering (PE) team within the TPG division at Synopsys Bangalore office. This team is at the forefront of delivering and deploying next-generation performance technologies in ZeBu platforms to customers worldwide. As a pivotal member, you will engage in technically challenging projects with significant responsibilities and visibility, all while enjoying a supportive environment that fosters career growth, innovation, and professional development.

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Responsibilities:

• Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters.
• Participate in and contribute to parallel programming interface specifications like MPI/OpenSHMEM.
• Design, implement and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components.
• Create proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes and new features in hardware.

Requirements:

• M.S./Ph.D. degree in CS/CE or equivalent experience.
• 5+ years of relevant experience.
• Excellent C/C++ programming and debugging skills.
• Strong experience with Linux.
• Expert understanding of computer system architecture and operating systems.
• Experience with parallel programming interfaces and communication runtimes.
• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Nice to Have:

• Deep understanding of technology and passionate about what you do.
• Experience with CUDA programming and NVIDIA GPUs.
• Knowledge of high-performance networks like InfiniBand, iWARP etc.
• Experience with HPC applications.
• Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc.
• Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.

Benefits:

• Highly competitive salaries.
• Comprehensive benefits package.
• Eligibility for equity.
• Opportunity to work with a world-class engineering team.
• Ability to work in a dynamic matrix environment.
• Opportunity to contribute to cutting-edge technology.
• Flexible work arrangements.
• Professional development opportunities.

How to Apply:

Applications for this job will be accepted at least until March 13, 2026. NVIDIA uses AI tools in its recruiting processes.

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At Valvoline Global Operations, we're proud to be The Original Motor Oil, but we've never rested on being first. Founded in 1866, we introduced the world's first branded motor oil, staking our claim as a pioneer in the automotive and industrial solutions industry. Today, as an affiliate of Aramco, one of the world's largest integrated energy and chemicals companies, we are driven by innovation and committed to creating sustainable solutions for a better future.

With a global presence, we develop future-ready products and provide best-in-class services for our partners around the world. For us, originality isn't just about where we began; it's about where we're headed and how we'll lead the way. We are originality in motion.

Our corporate values—Care, Integrity, Passion, Unity, and Excellence—are at the heart of everything we do. These values define how we operate, how we treat one another, and how we engage with our partners, customers, and the communities we serve. At Valvoline Global, we are united in our commitment to:

• Treating everyone with care.
• Acting with unwavering integrity.
• Striving for excellence in all endeavors.
• Delivering on our commitments with passion.
• Collaborating as one unified team.

Job Purpose

The Senior Platform Engineer – MuleSoft Platform & Ops Automation is responsible for the stability, security, scalability, and automation of the MuleSoft Anypoint Platform across cloud and hybrid environments. This role owns the operational health of enterprise integration services, ensuring reliable API and integration execution while reducing manual effort through automation. The role combines deep platform administration expertise with DevOps and operational leadership, acting as the escalation point for complex incidents and platform design decisions. Working closely with architecture, application engineering, DevOps, and security teams, this role ensures MuleSoft remains a resilient, compliant, and high-performing enterprise integration platform.

How You Make an Impact (Job Accountabilities)

• Own the operational stability, performance, and availability of the MuleSoft Anypoint Platform across production and non-production environments
• Administer and optimize MuleSoft Runtime Manager, API Manager, Access Management, AnypointMQ, RPA, Intelligent Document Processing, Partner Manager, and Runtime Fabric or CloudHub deployments
• Administer and optimize use of Design Center, Exchange, and Anypoint Experience Hub for presentation and consumption of APIs to internal and external audiences.
• Monitor, report, and forecast on MuleSoft platform consumption to ensure accuracy in budget forecasting and environment expansion based on platform licensing.
• Administer and optimize delivery of software used on developer workstations such as Anypoint Studio, Anypoint Code Builder, Postman, and Github Desktop

• Design, implement, and maintain CI/CD pipelines to automate MuleSoft deployments, environment promotion, and rollback strategies

• Lead production incident response, root cause analysis, and preventative remediation for integration and API failures
• Implement observability, monitoring, alerting, logging, and SLA frameworks to ensure proactive detection and resolution of platform issues
• Enforce platform standards for security, configuration, and operational readiness in alignment with enterprise architecture and compliance requirements
• Support API gateway configuration, TLS certificates, policy enforcement, and secure integration patterns
• Plan and execute MuleSoft platform upgrades, patches, and capacity scaling initiatives
• Collaborate with infrastructure, security, network, application, DevOps, and architecture teams to deliver reliable, secure, and scalable integration solutions
• Engage with MuleSoft Account Managers, committees, and/or user groups to stay ahead of platform changes, new capabilities, and emerging technologies
• Manage platform documentation in tools such as LeanIX and ServiceNow CMDB
• Architect, implement, and support Disaster Recovery plans for the MuleSoft application environments
• Implement security best practices and solutions for users and applications consuming MuleSoft capabilities

What You Bring to the Role (Qualifications)

• Seven (7) or more years of experience supporting enterprise-class applications, middleware, or integration platforms
• Three (3) or more years of hands-on administration and engineering of the MuleSoft Anypoint Platform
• Strong experience operating MuleSoft in production environments including CloudHub, Runtime Fabric, or hybrid deployments
• Hands-on experience with Code, Container, and Artifact Repository tools such as Bitbucket, Github, Maven, JFrog, or similar
• Experience with CI/CD automation tools such as Jenkins, Azure DevOps, GitHub Actions, Sonarqube, or similar
• Hands-on experience with API-led connectivity, REST and SOAP web services, RAML, and OpenAPI
• Hands-on experience supporting EDI and B2B connectivity and message exchanges with 3rd parties
• Hands-on experience with Event Driven Architecture, Message Queueing, and Pub/Sub integration patterns
• Strong troubleshooting skills using MuleSoft debuggers, flow analyzers, and performance tuning techniques
• Experience with Linux systems, scripting (Python, Bash, etc), and automation for platform operations
• Ability to communicate technical issues and remediation plans to engineering teams and leadership

Competencies Desired

• Hands on admin Mulesoft platform experience – must have
• Hands on admin Webmethods experience – nice to have (legacy architecture)
• Platform Stability and Reliability
• Automation and DevOps Enablement
• Production Incident Leadership
• Security and Compliance Alignment
• Cross-Team Collaboration
• Technical Problem Solving
• Operational Documentation Discipline

Certifications Desired

• MuleSoft Certified Integration Architect
• MuleSoft Certified Platform Integration Architect

Working Conditions / Physical Requirements / Travel Requirements

• Primarily office or remote work with standard computer and virtual collaboration tools
• May participate in 24x7 on-call rotation to support production systems
• Travel requirements: Some may be required for team building and major project rollouts. Travel 5%.

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About the Team

We build foundational AI infrastructure that enables large-scale training and inference across diverse workloads and rapidly evolving hardware generations. Our work directly shapes how AI systems are designed, deployed, and scaled today and into the future. Engineers on this team operate with end-to-end ownership, deep technical rigor, and a strong bias toward real-world impact.

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Responsibilities

Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks. Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements. Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems. Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps. Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations. Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs. Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams. Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.

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We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures.

This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale.

In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate.

Microsoft Superintelligence Team Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact.

Responsibilities Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks.

Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements.

Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems.

Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps.

Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations.

Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs.

Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams.

Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.

Qualifications 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.

Additional or Preferred Qualifications Master’s Degree in Computer Science or related technical field AND 8+ 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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Strong background in one or more of the following areas: AI accelerator or GPU architectures Distributed systems and large-scale AI training/inference High-performance computing (HPC) and collective communications ML systems, runtimes, or compilers Performance modeling, benchmarking, and systems analysis Hardware–software co-design for AI workloads Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development.

Proven ability to work across organizational boundaries and influence technical decisions involving multiple stakeholders. Experience designing or operating large-scale AI clusters for training or inference. Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications. Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand). Background in performance modeling and capacity planning for future hardware generations. Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews. Publications, patents, or open-source contributions in systems, architecture, or ML systems are a plus.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Team

The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software.

About the role:

• Scope, design, and build complex security systems end to end, maintaining them through production and driving through ambiguous technical challenges with minimal oversight
• Identify systematic risks through threat modeling and risk assessment, then build the controls and infrastructure that address them
• Mentor engineers across the security team and broader engineering organisation, contribute to hiring, and grow security engineering culture at Anthropic
• Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond the security team

Developer security and supply chain

• Build and advance our developer security program by embedding security practices into the software development lifecycle and developer workflows
• Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement

Identity and secrets management

• Architect systems that protect sensitive assets including model weights, customer data, and training datasets
• Build and operate credential issuance, rotation, and workload authentication across our multi-cloud environments

Infrastructure security

• Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments
• Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security
• Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation

Secure frameworks

• Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities and empower engineering teams to work securely without becoming security experts themselves
• Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls

You may be a good fit if you have:

• At least 8 years of software engineering experience with deep security expertise, including leading complex security initiatives independently
• Bachelor's degree in Computer Science or equivalent industry experience
• Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++
• Deep understanding of identity systems, cryptographic primitives, and secrets management
• Working knowledge of Kubernetes security primitives including RBAC, namespaces, network policies, and service accounts
• Experience leading cross-functional security initiatives and navigating complex organisational dynamics
• Outstanding communication skills, translating technical concepts effectively across all levels of the organisation
• A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution
• Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams
• Passion for AI safety and the role security engineering plays in building trustworthy AI systems

Strong candidates may also have:

• Designed or operated identity and secrets management systems for large-scale AI or cloud infrastructure
• Built security frameworks or libraries adopted across an engineering organisation
• Led a developer security program including supply chain security, secure build infrastructure, and SDLC integrations
• Built or secured CI infrastructure using Nix, Bazel, or Kubernetes-based deploy systems, with depth in toolchain issues, CI/CD pipelines, and developer workflow optimisation
• Implemented machine identity or workload authentication systems using SPIFFE/SPIRE, mTLS, or equivalent
• Understanding of Linux systems internals including namespaces, cgroups, and seccomp, and how these underpin container and workload isolation
• Contributed to the security architecture of multi-cloud environments including network segmentation, data protection, and access governance
• Experience with network security controls including admission controllers, CNI-level policy, service mesh security, and east-west traffic enforcement
• Experience building runtime security monitoring using eBPF or kernel security policies

Deadline to apply:

None, applications will be received on a rolling basis.

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 the total amount of money an employee is expected to earn in a year, including bonuses and other forms of compensation.

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Responsibilities:

• Systems Integration & Coordination: Lead cross-functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams. Drive end-to-end planning for major infrastructure transitions including platform modernization and new tech adoption.
• Performance & Efficiency: Partner with engineering teams to identify optimisation opportunities, track performance metrics, and prioritise work that unlocks capacity gains. Coordinate across runtime and accelerator layers to ensure efficiency wins ship without compromising reliability.
• Launch Coordination: Drive end-to-end readiness for model and feature launches across multiple hardware platforms. Establish processes for cross-platform validation, manage launch timelines, and ensure smooth handoffs between runtime, accelerator, and downstream teams.
• Strategic Planning: Own and prioritise the inference deployment roadmap, working closely with engineering leadership to prioritise initiatives and manage dependencies. Provide visibility into upcoming changes and their organisational impact.
• Stakeholder Communication: Build strong relationships across research, engineering, and product teams to understand requirements and constraints. Translate technical complexities into clear updates for leadership and ensure alignment on priorities and timelines.
• Process Improvement: Identify inefficiencies in current workflows and drive systematic improvements. Establish metrics and dashboards to track infrastructure health, capacity utilisation, and deployment success rates.

You may be a good fit if you:

• Have several years of experience in technical program management, with proven success delivering complex infrastructure programs, preferably in ML/AI systems or large-scale distributed systems
• Have deep technical understanding of inference systems, compilers, or hardware accelerators to engage substantively with engineers and identify technical risks.
• Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives
• Have strong stakeholder management skills and can build trust with both technical and non-technical partners
• Are comfortable navigating competing priorities and using data to drive technical decisions
• Have experience with infrastructure scaling initiatives, hardware integrations, or deployment governance
• Thrive in fast-paced environments and can balance strategic planning with tactical execution
• Are passionate about AI infrastructure and understand the unique challenges of deploying and scaling large language models

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.

How we're different

We believe that the

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Location

San Francisco; New York City

Employment Type

Full time

Department

Scaling

Compensation

• $230K – $385K • 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

The Agent Infrastructure team at OpenAI is responsible for building systems that enable training and deployment of highly useful AI agents, both internally and for the world.

We work hand-in-hand with researchers to design and scale the environment in which agentic models are trained – providing a workspace for AI models to execute code, debug issues, and develop software just as human SWEs do. Our training environment for agentic models operates at an extremely high scale and has the flexibility to emulate any environment in which an agent might work.

At the same time, our team builds and maintains OpenAI’s core platform for the deployment and execution of agents in production. Our systems power products such as Codex, Operator, tool use in ChatGPT, and future agentic products.

About the Role

As a Software Engineer on the Agent Infrastructure team, you will have the opportunity to work closely with both research and product at OpenAI - building and scaling systems to train highly capable agentic models, and building the platform and integrations to launch new agents to hundreds of millions of users worldwide.

Your work will consist of both building new capabilities - standing up the infrastructure and integrations needed to train more complex agentic models - and rapidly scaling these new capabilities to some of the largest compute clusters in the world. At the same time, you’ll be instrumental to the launch of agentic products at OpenAI - building, maintaining, and scaling the production platform on which all agents run.

Responsibilities

• Push massive compute clusters to their limits. You will be a core contributor to a novel container orchestration platform built in-house by our team to scale far beyond what’s possible with systems like Kubernetes.

• Develop and maintain FastAPI and gRPC APIs that serve as the interface for our agentic infrastructure used both in training and production.

• Use Terraform to stand up and evolve complex infrastructure for both research and production.

• Collaborate with research teams to stand up and optimize systems for novel AI training runs and experimental applications.

Requirements

• Have deep experience working on large-scale machine learning infrastructure. You know how to reason about training at scale, identifying bottlenecks and engineering solutions to optimize system performance in training environments.

• Know how to build new things from 0-1 quickly, and then scale them 1,000,000x.

• Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems.

• Know your way around cloud platforms and work with infrastructure-as-code tech like Terraform.

• Are driven by solving complex, ambiguous problems at the intersection of infrastructure scalability, virtualization efficiency, and agentic capabilities.

• Have deep technical expertise in virtualization and containerization technologies (e.g. Kata, Firecracker, gVisor, Sysbox) and are passionate about optimizing runtime performance.

What We Offer

• Competitive salary and equity package

• Opportunity to work on cutting-edge AI infrastructure

• Collaborative and dynamic team environment

• Flexible work arrangements

• Professional development opportunities

• Access to the latest technology and tools

How to Apply

If you are a motivated and experienced software engineer looking to join a dynamic team and work on cutting-edge AI infrastructure, please submit your application. We look forward to hearing from you!

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San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Scaling

Compensation

• $250K – $445K • 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 Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we’re building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve.

Our work focuses on three pillars: high-performance, asynchronous, zero-copy tensor and optimizer-state-aware data movement; performant, high-uptime, fault-tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long-lived, job-specific and user-provided processes.

We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model-stack, research, and platform teams. Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products).

About the Role As a Training Performance Engineer, you’ll drive efficiency improvements across our distributed training stack. You’ll analyze large-scale training runs, identify utilization gaps, and design optimizations that push the boundaries of throughput and uptime. This role blends deep systems understanding with practical performance engineering — analyzing GPU kernel performance, collective communication throughput, investigating I/O bottlenecks, and sharding our models so we can train them at massive scale.

You’ll help ensure that our clusters are running at peak performance, enabling OpenAI to train larger, more capable models with the same compute budget.

This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Profile end-to-end training runs to identify performance bottlenecks across compute, communication, and storage.
• Optimize GPU utilization and throughput for large-scale distributed model training.
• Collaborate with runtime and systems engineers to improve kernel efficiency, scheduling, and collective communication performance.
• Implement model graph transforms to improve end to end throughput.
• Build tooling to monitor and visualize MFU, throughput, and uptime across clusters.
• Partner with researchers to ensure new model architectures scale efficiently during pre-training.
• Contribute to infrastructure decisions that improve reliability and efficiency of large training jobs.

You might thrive in this role if you:

• Love optimizing performance and digging into systems to understand how every layer interacts.
• Have strong programming skills in Python and C++ (Rust or CUDA a plus).
• Have experience running distributed training jobs on multi-GPU systems or HPC clusters.
• Enjoy debugging complex distributed systems and measuring efficiency rigorously.
• Have exposure to frameworks like PyTorch, JAX, or TensorFlow and an understanding of how large-scale training loops are built.
• Are comfortable collaborating across teams and translating raw profiling data into practical engineering improvements.

Nice to have:

• Familiarity with NCCL, MPI, or UCX communication libraries.
• Experience with large-scale data loading and checkpointing systems.
• Prior work on training runtime, distributed scheduling, or ML compiler optimization.

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

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About the Role

We're looking for a software engineer to join our team at OpenAI to help us build out and secure our critical computing infrastructure, focusing on trusted computing and cryptography at scale.

Responsibilities

• Write high-quality, performance-critical code in Rust and Python.
• Work alongside researchers, engineers, and security experts to integrate and scale advanced cryptographic techniques into our production and research systems.
• Write foundational libraries to support cryptographic operations and ensure security best practices are embedded into our infrastructure.
• Design, implement, and maintain secure key management systems for production environments.
• Design and deploy systems that help us trust our infrastructure, using security primitives and technologies such as tpm2, Secure Boot, Nitro Enclaves, confidential computing, Intel SGX, and AMD-SEV.
• Research, design, and implement operating system-level security measures, such as remote attestation, runtime TPM measurement, and host integrity verification.

Requirements

• Have extensive experience as a software engineer working on global-scale production systems.
• Are experienced in deploying cryptographic systems at scale, with a strong understanding of production cryptographic key management.
• Have familiarity with security primitives, including but not limited to TPM2, Secure Boot, secure enclaves, and confidential computing platforms.
• Have professional experience programming in Python and proficiency in Rust and/or C/C++.
• Own problems end-to-end and are willing to acquire any missing knowledge to get the job done.
• Have experience architecting, observing, and debugging production distributed systems.
• Exhibit a humble attitude, eagerness to help colleagues, and a commitment to the team’s success.
• Are self-directed and enjoy identifying the most important problems to tackle.
• Have experience rebuilding or significantly refactoring production systems to accommodate rapidly increasing scale.
• Have a good intuition for when off-the-shelf solutions will work and can quickly build tools to accelerate workflows when they won’t.

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

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

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 and expertise that make up our team.

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Software Engineer, Hardware

Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $266K – $455K • 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

OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the Role

As a software engineer on the Scaling team, you’ll help build and optimize the low-level stack that orchestrates computation and data movement across OpenAI’s supercomputing clusters. Your work will involve designing high-performance runtimes, building custom kernels, contributing to compiler infrastructure, and developing scalable simulation systems to validate and optimize distributed training workloads.

You will work at the intersection of systems programming, ML infrastructure, and high-performance computing, helping to create both ergonomic developer APIs and highly efficient runtime systems. This means balancing ease of use and introspection with the need for stability and performance on our evolving hardware fleet.

This role is based in San Francisco, CA, with a hybrid work model (3 days/week in-office). Relocation assistance is available.

In this role, you will:

• Design and build APIs and runtime components to orchestrate computation and data movement across heterogeneous ML workloads.

• Contribute to compiler infrastructure, including the development of optimizations and compiler passes to support evolving hardware.

• Engineer and optimize compute and data kernels, ensuring correctness, high performance, and portability across simulation and production environments.

• Profile and optimize system bottlenecks, especially around I/O, memory hierarchy, and interconnects, at both local and distributed scales.

• Develop simulation infrastructure to validate runtime behaviors, test training stack changes, and support early-stage hardware and system development.

• Rapidly deploy runtime and compiler updates to new supercomputing builds in close collaboration with hardware and research teams.

• Work across a diverse stack, primarily using Rust and Python, with opportunities to influence architecture decisions across the training framework.

You might thrive in this role if you:

• Have a deep curiosity for how large-scale systems work and enjoy making them faster, simpler, and more reliable.

• Are proficient in systems programming (e.g., Rust, C++) and scripting languages like Python.

• Have experience in one or more of the following areas: compiler development, kernel authoring, accelerator programming, runtime systems, distributed systems, or high-performance simulation.

• Are excited to work in a fast-paced, highly collaborative environment with evolving hardware and ML system demands.

• Value engineering excellence, technical leadership, and thoughtful system design.

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 – $380K • 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

The Kernels team at OpenAI builds the low-level software that accelerates our most ambitious AI research.

We work at the boundary of hardware and software, developing high-performance kernels, distributed system optimizations, and runtime improvements to make large-scale training and inference more efficient.

Our work enables OpenAI to push the limits by ensuring models - from LLMs to recommender systems - to run reliably on advanced supercomputing platforms. That includes adapting our software stack to new types of accelerators, tuning system performance end-to-end, and removing bottlenecks across every layer of the stack.

About the Role

On the Accelerators team, you will help OpenAI evaluate and bring up new compute platforms that can support large-scale AI training and inference.

Your work will range from prototyping system software on new accelerators to enabling performance optimizations across our AI workloads.

You’ll work across the stack, collaborating with both hardware and software aspects - working on kernels, sharding strategies, scaling across distributed systems, and performance modeling.

You'll help adapt OpenAI's software stack to non-traditional hardware and drive efficiency improvements in core AI workloads. This is not a compiler-focused role, rather bridging ML algorithms with system performance - especially at scale.

In this role, you will:

• Prototype and enable OpenAI's AI software stack on new, exploratory accelerator platforms.

• Optimize large-scale model performance (LLMs, recommender systems, distributed AI workloads) for diverse hardware environments.

• Develop kernels, sharding mechanisms, and system scaling strategies tailored to emerging accelerators.

• Collaborate on optimizations at the model code level (e.g. PyTorch) and below to enhance performance on non-traditional hardware.

Perform system-level performance modeling, debug bottlenecks, and drive end-to-end optimization.

• Work with hardware teams and vendors to evaluate alternatives to existing platforms and adapt the software stack to their architectures.

• Contribute to runtime improvements, compute/communication overlapping, and scaling efforts for frontier AI workloads.

You might thrive in this role if you have:

• 3+ years of experience working on AI infrastructure, including kernels, systems, or hardware-software co-design

• Hands-on experience with accelerator platforms for AI at data center scale (e.g., TPUs, custom silicon, exploratory architectures).

• Strong understanding of kernels, sharding, runtime systems, or distributed scaling techniques.

• Familiarity with optimizing LLMs, CNNs, or recommender models for hardware efficiency.

• Experience with performance modeling, system debugging, and software stack adaptation for novel architectures.

• Exposure to mobile accelerators is welcome, but experience enabling data center-scale AI hardware is preferred.

• Ability to operate across multiple levels of the stack, rapidly prototype solutions, and navigate ambiguity in early hardware bring-up phases

• Interest in shaping the future of AI compute through exploration of alternatives to mainstream accelerators.

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Microsoft are looking for a talented Member of Technical Staff - Software Engineer (SuperIntelligence team) 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

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact.

Accountabilities

• Design and build core platform services for scalable training and evaluation, including cluster orchestration, job scheduling, data and compute pipelines, and artifact management.
• Standardize containerized workflows by maintaining Docker images, CI/CD, and runtime configurations; advocate for best practices in security, reproducibility, and cost efficiency.

The Candidate we're looking for

Experience:

• Strong software engineering fundamentals building large-scale, production systems.

Technical skills:

• Python used as a primary language in production systems.
• Kubernetes + containers: deploying, operating, and supporting production workloads.

Personal attributes:

• Hands-on ownership of production infrastructure (not just usage).

Benefits

• Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 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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What you'll do

• Drive advanced product capabilities and innovations in emulation runtime performance for industry-leading platforms.
• Engage in the full product lifecycle, from feature definition and implementation to rigorous testing, quality measurement, and customer deployment.
• Collaborate closely with internal stakeholders to deliver superior outcomes for customers.

What you need

• Minimum 8 years of experience in emulation methodology, spanning early RTL verification to software bring up.
• Proven expertise in verification, with a focus on System on Chip (SoC) design bring-up and validation.

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What you'll do

• Own, develop, improve, and optimize the code of UI tech used to build tools and in-game UI in Unreal Engine.
• Collaborate with all disciplines (i.e., programmers, artists, UI and UX designers) to identify areas for improvement, gather feedback, and design solutions for customer needs.

What you need

• Strong C++ skills and experience working within large codebases.
• Experience designing and writing tools that improve the customer’s user experience, iteration, and development time in game development or other fields.

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What you'll do

In this role, you will own, develop, improve, and optimize the code of UI tech used to build tools and in-game UI in Unreal Engine. You will collaborate with all disciplines (i.e., programmers, artists, UI and UX designers) to identify areas for improvement, gather feedback, and design solutions for customer needs.

What you need

• Strong C++ skills and experience working within large codebases
• Experience designing and writing tools that improve the customer's user experience, iteration, and development time in game development or other fields

XML job scraping automation by YubHub

What you'll do

• Own, develop, improve, and optimize the code of UI tech used to build tools and in-game UI in Unreal Engine.
• Collaborate with all disciplines (i.e., programmers, artists, UI and UX designers) to identify areas for improvement, gather feedback, and design solutions for customer needs.

What you need

• Strong C++ skills and experience working within large codebases.
• Experience designing and writing tools that improve the customer’s user experience, iteration, and development time in game development or other fields.

XML job scraping automation by YubHub

XML job scraping automation by YubHub