The team includes low-latency Linux, network, datacenter, and C++ engineers focused on our end-to-end trading stack.

Key responsibilities include monitoring and assessing the quality of live and historical market data, detecting, inventorying, and remedying data gaps, maintaining and documenting exchange session times, holiday schedules, timestamp rules, and protocol/microstructure changes, analyzing latency, data rates, bursts, and message flows to understand microstructure behaviour and system performance, cleaning, transforming, and managing an inventory of large-scale datasets, building and improving tools for market data capture, working with vendors and brokers to assess and provision datasets, building and improving tools for data analysis, visualization, and diagnostics on top of captured market and network data, enhancing and extending C++ analytics libraries and exposing them within a Python environment for systematic research and alpha development, and collaborating closely with portfolio managers, quantitative researchers, and engineers to translate trading use cases into robust data and tooling solutions.

Qualifications include a Bachelor's or Master's in Computer Science, Mathematics, Statistics, Engineering, or another quantitative field, or equivalent experience, 3+ years of experience in financial markets, electronic trading, or high-frequency/systematic environments, strong programming skills in Python, C++, and SQL, solid understanding of modern statistical testing methods and comfort working with large, noisy, real-world datasets, experience with Linux, large-scale data processing, and preferably network data (PCAP, timestamping, PTP) and low-latency systems, and strong problem-solving skills, attention to detail, and effective communication with both technical and non-technical stakeholders.

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Your tasks and responsibilities will include: Participating as a project team member for large complexity field testing projects; Assisting in project team planning, preparation, site coordination, close-out documentation, and equipment clean-up as part of the regulatory and customer deliverables per the Emissions Testing Group (ETG) checklists and Standard Operating Procedures (SOP); Performing field tests in accordance with USEPA and other regulatory and laboratory methods and requirements; Maintaining, repairing, and calibrating testing equipment per procedures; Ensuring field testing projects are performed safely and in accordance with ETG and Bayer policies; Consulting with outside labs for methods and analysis, assisting customers on site sampling set up and preparation for field projects and teams; Traveling up to 75% is required.

We seek an incumbent who possesses the following: High School Diploma or GED; 1+ years of experience in environmental, emissions, or engineering; Valid Driver's License; Good analytical and problem-solving skills; Collaborative team player capable of working well with people across all hierarchies internally and externally; Good organizational and presentation skills; Strong interpersonal skills, including communication, listening, verbal, and assertiveness; Results-driven with the ability to manage ambiguity.

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Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (Clio), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks.

Responsibilities:

• Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including quarterly reports and industry-specific deep dives

• Design and conduct empirical research on AI's economic effects, drawing on external data sources and the privacy-preserving measurement systems internally

• Develop new methodological approaches for studying AI's impact on:

• Labor markets and the future of work

• Productivity and task transformation

• Economic inequality and displacement

• Industry-specific disruption and adaptation

• Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios

• Develop causal-inference tooling , e.g. surrogate indexes, heterogeneous-effect pipelines , to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions

• Build and maintain relationships with academic institutions, policy think tanks, and other research partners

• Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection

• Translate research insights into actionable recommendations for both product decisions and policy discussions

• Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders

You May Be a Good Fit If You Have:

• PhD in Economics

• Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning

• Experience relevant to the study of AI’s impact on the economy, including:

• Labor market analysis and occupational change

• Task-based approaches to technological transformation

• Large-scale data analysis and econometric methods

• Large language models for social science research

• Policy-relevant economic research

• Experimental and quasi-experimental methods for causal inference

• Macroeconomic modeling and time series forecasting

• Agent-based modeling or large-scale simulation

• Technical skills including:

• Proficiency in Python, R, SQL, or similar tools for large-scale data analysis

• Experience working with novel datasets and measurement systems

• Comfort learning new technical tools and frameworks

• Demonstrated ability to:

• Lead complex research projects from conception to publication

• Communicate technical findings to diverse audiences

• Build relationships across academic, policy, and industry communities

• Strong interest in ensuring AI development benefits humanity

• Comfort working with AI systems and ability to think critically about their capabilities and limitations

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This is not a full-stack role; your expertise will be focused on the intricate details of system internals, performance, and efficiency.

Responsibilities:

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

Qualifications:

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

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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.

Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up.

If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: London

About Solutions Engineering at Cloudflare

The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team.

The Partner Solutions Engineer is an experienced PreSales role within the Solutions Engineering team. Partner Solutions Engineers work closely with our partners to educate, empower, and ensure their success delivering Cloudflare security, reliability and performance solutions.

What you'll do as a Partner Solutions Engineer

Your role will be to build passionate champions within the technology ranks at your Partner accounts, aid your Partner organizations to drive sales for identified opportunities, and collaborate with your technical champions to build revenue pipeline. As the technical partner advocate within Cloudflare, you will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support.

You have strong experience in large Pre-Sales partner and account management as well as excellent verbal and written communications skills in English, suited for both technical and executive-level engagement. You are comfortable speaking about the Cloudflare vision and mission with all technical and non-technical audiences. Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms.

You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with partners and customers, and look forward to helping them realize the full promise of Cloudflare.

On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other. Specifically, we are looking for you to:

• Build and maintain long term technical relationships with our EMEA partners to increase Cloudflare’s reputation and authority within the partner solution portfolio through demonstrating value, enablement, and uncovering new areas of potential revenue

• Drive technical solution design conversations and guide partners in EMEA through use case qualification and collaborative technical wins through demonstrations and proofs-of-concepts

• Evangelize and represent Cloudflare through technical thought leadership and expertise

• Be the voice of the partner internally at Cloudflare, engaging with and influencing Cloudflare’s Product and Engineering teams to meet your partner and customer needs

Travel up to 40% throughout the quarter to support partner engagements, attend conferences and industry events, and to collaborate with your Cloudflare teammates

Examples of desirable skills, knowledge and experience:

• Fluency in English (verbal and written)

• Experience managing technical sales within large partners and accounts:

• Developing champion-style relationships

• Driving technical wins

• Assisting with technical validation

• Experience and expertise in one or more of the core industry components of Cloudflare solutions:

• SASE concepts and Zero Trust Networking architectures

• Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management

• Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP

• Detailed understanding of workflow from user to application including hybrid architectures with Azure, AWS, GCP

• HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), serverless application development

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

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The successful candidate will be responsible for qualifying the best prospects for Temporal, managing the sales process for multiple prospects or existing customers, owning the overall account plan for key customers & prospects, providing reliable & timely information on the status of every assigned account and opportunity, and coordinating account pursuits with Temporal partners.

================================================================================

Responsibilities:

• Qualifying the best prospects for Temporal
• Managing the sales process for multiple prospects or existing customers that will translate positive technical engagement into revenue
• Owning the overall account plan for key customers & prospects
• Providing reliable & timely information on the status of every assigned account and opportunity
• Coordinating account pursuits with Temporal partners

================================================================================

What You'll Need:

• Effective building relationships with technical champions and technical leadership in customer organizations
• Experience with multi-stakeholder sales
• Comfortable working in a consumption-based revenue model
• Comfortable applying technical qualification criteria to prioritize prospects & specific applications
• Familiar collaborating with partner account teams for more complex opportunities
• Hustle - comfortable calling into prioritized accounts with limited aircover
• Resourceful - can create your own presentations vs running a stock script, can enlist Temporal colleagues as needed vs needing a formalized support structure
• Flexible - Equally comfortable selling new logos vs expanding existing logos

================================================================================

Compensation: The estimated pay range for this role is INR ₹10,000,000 - ₹11,600,000 OTE. This role is eligible to participate in Temporal's equity plan.

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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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Our ideal candidate has a passion for database systems, storage systems, distributed systems, language design, or performance optimization, with 5+ years of experience working in a related system. A PhD in databases or distributed systems is optional.

As a member of our team, you will be motivated by delivering customer value and impact, and will have the opportunity to work on a multi-year vision with incremental deliverables.

The pay range for this role is $166,000-$225,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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This role is perfect for an engineer who enjoys working close to the metal and across the research boundary. You'll collaborate with researchers and systems architects to bridge algorithmic design with hardware efficiency. You'll prototype new kernel implementations, profile performance across hardware generations, and help define the numerical and parallelism strategies that determine how we scale next-generation AI systems.

Responsibilities

• Design and implement custom ML kernels (e.g., CUDA, CuTe, Triton) for core LLM operations such as attention, matrix multiplication, gating, and normalization, optimized for modern GPU and accelerator architectures.
• Design and think through compute primitives to reduce memory bandwidth bottlenecks and improve kernel compute efficiency.
• Collaborate with research teams to align kernel-level optimizations with model architecture and algorithmic goals.
• Develop and maintain a library of reusable kernels and performance benchmarks that serve as the foundation for internal model training.
• Contribute to infrastructure stability and scalability, ensuring reproducibility, consistency across precision formats, and high utilization of compute resources.
• Document and share insights through internal talks, technical papers, or open-source contributions to strengthen the broader ML systems community.

Skills and Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.
• Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases
• Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.
• Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
• A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.
• Proficiency in CUDA, CuTe, Triton, or other GPU programming frameworks.
• Demonstrated ability to analyze, profile, and optimize compute-intensive workloads.

Preferred qualifications:

• Experience training or supporting large-scale language models with tens of billions of parameters or more.
• Track record of improving research productivity through infrastructure design or process improvements.
• Experience developing or tuning kernels for deep learning frameworks such as PyTorch, JAX, or custom accelerators.
• Familiarity with tensor parallelism, pipeline parallelism, or distributed data processing frameworks.
• Experience implementing low-precision formats (FP8, INT8, block floating point) or contributing to related compiler stacks (e.g., XLA, TVM).
• Contributions to open-source GPU, ML systems, or compiler optimization projects.
• Prior research or engineering experience in numerical optimization, communication-efficient training, or scalable AI infrastructure.

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

Responsibilities:

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

Qualifications:

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

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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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Reporting to the Director of Enterprise Sales, you will be responsible for driving strategic growth and expanding our footprint across the region's most critical enterprise accounts.

Key responsibilities include:

• Assessing assigned accounts and developing strategies to execute against them
• Building a customer base by identifying and closing new logo opportunities
• Leading customers and partners to identify impactful big data and AI use cases while proving out their value on the Databricks Lakehouse platform
• Identifying land opportunities and developing expand/consumption use cases
• Orchestrating and utilising internal teams to maximise the impact on your ecosystem

What we look for:

• 5+ years of experience selling SaaS solutions to Enterprise Customers
• Extensive experience and strong performance in new logo hunting
• Experience working in Big Data, Cloud, or SaaS industries with some technical sales experience
• Successful experience selling complex software deals and quota over-achievement
• Understanding of consumption-based land and expand sales models is advantageous
• Knowledge of the Data & AI space with some technology sales experience
• Evidence of creating demand that delivered substantial business value
• Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting
• Experience of building effective champions, collaborative teams and partnerships to support execution of your territory plan
• Understanding of how to identify all key use cases and buying centres in an opportunity to increase the impact of Databricks in an organisation

Fluent French and business English required.

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Responsibilities:

• Drive requirements clarity and design decisions for ambiguous problems
• Produce technical design documents and project plans
• Develop new features
• Mentor more junior engineers
• Test and rollout to production, monitoring

Requirements:

• Passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Comfortable working towards a multi-year vision with incremental deliverables
• Customer-oriented and focused on having an impact
• 5+ years of experience working in a related system
• Optional: PhD in databases or distributed systems

Benefits:

• Comprehensive benefits and perks that meet the needs of all employees
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

At Databricks, we strive to provide a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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

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

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

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

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

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Your expertise will be essential in operating custom test equipment to collect image data. You will work with engineers to package, test, and assemble custom infrared image sensors in a clean room environment. You will handle and test silicon wafers in automated probe test stations. You will handle, mount, and wirebond image sensors into custom ceramic packages using a wire ball bonder. You will perform visual and electrical inspections of fully packaged sensor chip assemblies (SCAs). You will install SCAs into liquid nitrogen high vacuum test stations. The majority of the tasks will be done inside our cleanroom. You will operate custom test equipment to collect image data using automated tools.

Required Qualifications: Experience working with precision test and measurement equipment for development or production hardware. Experience collecting data from devices under test (DUTs) using test and inspection equipment. Experience working with delicate hardware such as microelectronics assemblies and performing ultra fine motor skill tasks. Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred Qualifications: Prior experience working within a clean room environment. Experience with microelectronics packaging such as wirebonders. Experience with electrical cabling assemblies, soldering, crimping, and debug. Proficiency with SolidWorks and scripting/automation languages (MATLAB, Python, LabVIEW).

US Salary Range $77,000-$102,000 USD

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Reporting to the Director of Enterprise Sales, Hunting Team, you will be responsible for driving strategic growth and expanding our footprint across the region's most critical enterprise accounts.

Key responsibilities include:

• Assessing assigned accounts and developing strategies to execute against them
• Building a customer base by identifying and closing new logo opportunities
• Leading customers and partners to identify impactful big data and AI use cases while proving out their value on the Databricks Lakehouse platform
• Identifying land opportunities and developing expand/consumption use cases
• Orchestrating and utilizing internal teams to maximize the impact on your ecosystem

What we look for:

• 5+ years of experience selling SaaS solutions to Enterprise Customers
• Extensive experience and strong performance in new logo hunting
• Experience working in Big Data, Cloud, or SaaS industries with some technical sales experience
• Successful experience selling complex software deals and quota over-achievement
• Understanding of consumption-based land and expand sales models is advantageous
• Knowledge of the Data & AI space with some technology sales experience
• Evidence of creating demand that delivered substantial business value
• Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting
• Experience of building effective champions, collaborative teams and partnerships to support execution of your territory plan
• Understanding of how to identify all key use cases and buying centers in an opportunity to increase the impact of Databricks in an organization

Fluent French and business English required.

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To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse, open platforms that unify data warehousing and advanced analytics.

A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science.

As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:

• Query compilation and optimization
• Distributed query execution and scheduling
• Vectorized execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimization

We look for:

• A passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Experience working towards a multi-year vision with incremental deliverables
• Motivated by delivering customer value and impact
• 5+ years of experience working in a related system (preferred)

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates 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.

Local Pay Range $166,000-$225,000 USD

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To be successful in this role, you'll need a PhD in databases or systems, a passion for database systems, storage systems, distributed systems, language design, and/or performance optimisation, and be motivated by delivering customer value and impact.

The pay range for this role is $140,000-$180,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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Our mission at Databricks is to simplify the data lifecycle from ingestion to ETL, BI, and ML/AI with a unified platform. We believe the data warehouse architecture will be replaced by a new architectural pattern, Lakehouse, which unifies data warehousing and advanced analytics.

The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, we are building a decoupled query engine and structured storage system that can outperform specialized data warehouses in relational query performance.

As a Staff Software Engineer, you will design these next-generation systems that leapfrog state-of-the-art within the following areas:

• Query compilation and optimization
• Distributed query execution and scheduling
• Vectorized execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimization

Your responsibilities will include driving requirements clarity and design decisions for ambiguous problems, producing technical design documents and project plans, developing new features, mentoring more junior engineers, testing and rolling out to production, and monitoring.

We look for a passion for database systems, storage systems, distributed systems, language design, or performance optimization. You should be comfortable working towards a multi-year vision with incremental deliverables, be customer-oriented and focused on having an impact, and have 7+ years of experience working in a related system. A PhD in databases or distributed systems is optional.

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Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (Clio), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks.

The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. They will have a strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning.

Some examples of our recent work include:

• Anthropic Economic Index Report: Economic Primitives
• Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
• Estimating AI productivity gains from Claude conversations
• The Anthropic Economic Index

For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy.

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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.

As a Senior Solutions Engineer, you will be a customer-facing technologist within the Cloudflare Solutions Engineering team. You will have strong experience in large account pre-sales management as well as excellent verbal and written communications skills suited for executive-level engagement.

You will work within a high-profile pursuit team dedicated to certain strategic accounts, working closely with the strategic account executives attached to these accounts. Your role will be to build passionate champions within the technology ranks at your accounts, drive sales for identified opportunities, and leverage your relationships with these technical champions to build a revenue pipeline where no opportunities yet exist.

Key Responsibilities:

• Build and maintain long-term technical relationships with the technical buyers (executives, managers, and individual contributors) at your assigned accounts, becoming a trusted advisor to those stakeholders.

• Deeply understand the business-critical issues that your accounts are facing, and provide meaningful solution designs to facilitate technical validation of Cloudflare as a part of the customer’s infrastructure, including the coordination of Cloudflare colleagues throughout the sales and procurement cycle.

• Identify and drive technical conversations in every possible line of business within the accounts, engaging key technical buyers with the purpose of uncovering new areas of potential revenue & showing value to all possible parts of your accounts.

• Empower customers in their security and network transformation journeys, helping them to define strategies and architect necessary security controls aligned with Cloudflare product suites.

• Be the voice of the customer internally at Cloudflare, engaging with and influencing Cloudflare’s Product and Engineering teams to meet your customers’ needs.

• Represent and evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity, and other industry events with thought leadership and expertise.

Desirable Skills, Knowledge, and Experience:

• Polished communication and executive presentation skills with the ability to drive a discussion with a broad range of stakeholders (from the web developer to the CISO).

• Relationship building: a proven track record of building deep technical relationships with engineers and senior executives in large and strategic accounts.

• Experience managing technical sales within large accounts.

• Developing champion-style relationships

• Driving technical wins

• Assisting with technical validation

• A deep understanding of core industry components of Cloudflare solutions (and a desire to learn more):

• Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP

• Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management

• HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), serverless application development

• Zero-trust network access (ZTNA & SASE) concepts including identity management and authentication

• Cloud computing technologies such as AWS, GCP, Azure, and others

• Some scripting or programming experience with one or more of JavaScript, Python, Golang, BASH

• Understanding of, or experience with, regulatory requirements such as FedRAMP, GDPR, PCI DSS, HIPAA, SOC-2, ISO/IEC

Compensation

For Maryland-based hires: Estimated annual salary of $208,000 - $254,000.

For New York City, New Jersey, and Washington D.C.-based hires: Estimated annual salary of $211,000 - $254,000.

This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan.

The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.

Equity

This role is eligible to participate in Cloudflare’s equity plan.

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 available,

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To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (CIDR 2021 paper), open platforms that unify data warehousing and advanced analytics.

A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialised data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science.

As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:

• Query compilation and optimisation
• Distributed query execution and scheduling
• Vectorised execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimisation

We look for:

• A passion for database systems, storage systems, distributed systems, language design, or performance optimisation
• Experience working towards a multi-year vision with incremental deliverables
• Motivated by delivering customer value and impact
• 8+ years of experience working in a related system (preferred)

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilising 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.

Local Pay Range $192,000-$260,000 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.

Responsibilities

As a Partner Solutions Engineer, you will be responsible for building passionate champions within the technology ranks at your Partner accounts, aiding your Partner organisations to drive sales for identified opportunities, and collaborating with your technical champions to build revenue pipeline.

You will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. You have strong experience in large Pre-Sales partner and account management as well as excellent verbal and written communications skills in both local and English, suited for both technical and executive-level engagement.

You are comfortable speaking about the Cloudflare vision and mission with all technical and non-technical audiences. Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms.

You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with partners and customers, and look forward to helping them realise the full promise of Cloudflare.

On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other.

Specifically, we are looking for you to:

• Build and maintain long term technical relationships with our partners to increase Cloudflare's reputation and authority within the partner solution portfolio through demonstrating value, enablement, and uncovering new areas of potential revenue

• Drive technical solution design conversations and guide partners in India through use case qualification and collaborative technical wins through demonstrations and proofs-of-concepts

• Evangelise and represent Cloudflare through technical thought leadership and expertise

• Be the voice of the partner internally at Cloudflare, engaging with and influencing Cloudflare's Product and Engineering teams to meet your partner and customer needs

Travel up to 40% throughout the quarter to support partner engagements, attend conferences and industry events, and to collaborate with your Cloudflare teammates in local and English.

Examples of desirable skills, knowledge and experience:

• Minimum 10 years experience in a pre-sales SE or consulting role

• Fluency in local and English (verbal and written)

• Experience managing technical sales within large partners and accounts:

• Developing champion-style relationships

• Developing partner technical competencies

• Driving technical wins

• Assisting with technical validation

• Experience with or curiosity in any of the core industry components of Cloudflare solutions (and passion to learn more):

• Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP

• Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management

• HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), serverless application development

• SASE concepts and Zero Trust Networking architectures

• Detailed understanding of workflow from user to application including hybrid architectures with Azure, AWS, GCP

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 organisations 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 authorisation to receive software or technology controlled under these U.S. export laws without sponsorship for an export licence.

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, colour, religion, sex, gender identity, sexual orientation, age, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse, open platforms that unify data warehousing and advanced analytics.

A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark to support diverse workloads ranging from ETL to data science.

As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:

• Query compilation and optimization
• Distributed query execution and scheduling
• Vectorized execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimization

We look for individuals with a passion for database systems, storage systems, distributed systems, language design, or performance optimization. You should have experience working towards a multi-year vision with incremental deliverables, motivated by delivering customer value and impact.

The pay range for this role is $192,000-$260,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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

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

Responsibilities:

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

Requirements:

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

Nice to have:

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

Representative projects:

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

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

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The Anthropic Fellows Program is a 4-month, full-time research opportunity for individuals to work on empirical AI research and engineering projects. As an AI Security Fellow, you will be part of a team that focuses on reducing catastrophic risks from advanced AI systems.

Responsibilities

• Conduct empirical AI research and engineering projects aligned with Anthropic's research priorities
• Collaborate with mentors and peers to achieve project goals
• Present research findings and results to the team and wider community

Requirements

• Fluency in Python programming
• Strong technical background in computer science, mathematics, or physics
• Ability to implement ideas quickly and communicate clearly

Nice to Have

• Experience with pentesting, vulnerability research, or other offensive security work
• Experience with empirical ML research projects
• Experience with deep learning frameworks and experiment management

Logistics

• To participate in the Fellows program, you must have work authorization in the UK and be located in the UK during the program
• Workspace locations: London and Berkeley
• Visa sponsorship: Not currently available

Application Process

Applications and interviews are managed by Constellation, our official recruiting partner for this program. Clicking 'Apply here' will redirect you to Constellation's application portal.

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Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission).

We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.

What to Expect

• 4 months of full-time research
• Direct mentorship from Anthropic researchers
• Access to a shared workspace (in either Berkeley, California or London, UK)
• Connection to the broader AI safety and security research community
• Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
• Funding for compute (~$15k/month) and other research expenses

Interview Process

The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion.

Compensation

The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).

Fellows Workstreams

Due to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.

Some of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:

• AI Safety Fellows
• AI Security Fellows
• ML Systems & Performance Fellows
• Reinforcement Learning Fellows
• Economics & Societal Impacts Fellows

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This role is perfect for an engineer with a solid foundation in power systems, embedded systems who is eager to grow, own challenging projects, and see their work move rapidly from concept to flight. If you thrive in fast-paced environments, enjoy solving complex problems, and want to help build the future of autonomous aviation, we want to hear from you.

Responsibilities:

• Lead failure analysis investigations for avionics hardware, including: PCBAs (digital, analog, power, mixed-signal), harnesses, connectors, and interconnects
• Perform root cause analysis (RCA) using structured methodologies (8D, 5-Why, Fishbone, Fault Tree, etc.)
• Conduct and/or oversee electrical, mechanical, and environmental failure analysis
• Collaborate with design engineers to identify design vulnerabilities, manufacturing and suppliers on process-related issues
• Work closely with cross-functional teams (reliability, mechanical, embedded, software, production, supply chain, etc.)
• Drive design, process, and supplier corrective actions to closure
• Author clear, data-driven failure analysis reports and present findings to technical and program leadership
• Mentor junior engineers and help establish best practices for failure analysis and reliability

Required qualifications:

• Bachelor’s degree in electrical engineering; or equivalent work experience
• 8+ years of experience in failure analysis, reliability, or hardware debug for aerospace, defense, or high-reliability electronics
• Strong technical fundamentals
• Experienced with cross-sectioning, microscopy, X-ray, and other FA techniques
• Strong hands-on experience with PCBA failure mechanisms (solder joints, vias, components, PCB materials), Harnesses, connectors, crimping, shielding, and interconnect reliability
• Demonstrated track record of extreme ownership, working hard, and delivering outstanding outcomes
• A track record of successfully delivery of products and solutions, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment
• Proactively identify opportunities for improvement within organization, demonstrating initiative to propose and implement innovative solutions that enhance efficiency, quality, and overall project success and aircraft reliability
• Ability to independently drive investigations from symptom to root cause

$150,000 - $220,000 a year

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This is a build & release engineering role for teams shipping autonomy software to edge-deployed systems, frequently in isolated / constrained environments. You'll own the engineering “last mile” between C++ development and dependable delivery: reproducible builds, trustworthy artefacts, promotion across environments, and deployable releases that work where they matter most.

If you love modern C++ toolchains, dependency hygiene, artefact provenance, and making CI/CD fast and deterministic,this is for you.

Responsibilities:

• Own C++ build and release workflows for autonomy and vision products, from source → build → test → package → release.

• Support and evolve containerised CI/CD pipelines across multiple isolated environments (speed, determinism, promotion, repeatability).

• Build and maintain container images for edge deployment

• Manage JFrog/Artifactory repositories for multi-language and generic artefacts; improve versioning, retention, and promotion practices.

• Strengthen dependency and build reproducibility for C++, reducing “works on my machine” and pipeline flakiness.

• Validate and deploy autonomy and vision-system products, tools, and libraries,focusing on edge delivery and reliability.

• Collaborate with engineers and system admins to ensure integration and stability across real deployment environments.

• Tackle complex, meaningful problems that directly support mission outcomes.

Requirements:

• Strong, hands-on experience delivering modern C++ software in production (not just “supporting” it).

• Demonstrated ownership of build systems / toolchains / dependency management (e.g., Conan, CMake, Nix, Ninja, Artifactory ,whatever you’ve used to ship real systems).

• Significant recent experience running CI/CD for compiled software and maintaining the surrounding engineering systems (pipelines, runners/agents, artefact stores, promotion gates).

• Significant recent experience in Docker / Podman and containerised workflows

• Strong understanding of Linux/Unix systems.

• Experience debugging and troubleshooting.

• Background in air-gapped or isolated DevOps environments (or similarly constrained delivery contexts).

• Experience supporting Python deployment/distribution (for tooling around the C++ core).

Why Shield AI?

• Help shape the future of defence and autonomy in Australia and beyond.

• Be a key voice in a mission-led business redefining what’s possible with emerging technology.

• Join a growing, values-led team headquartered in Port Melbourne, with strong global partnerships and local autonomy.

• Competitive salary, performance-based incentives, and long-term growth opportunities.

What This Role Is Not:

• Not a “cloud-first” DevOps role focused on standing up cloud infrastructure.

• This role is primarily about C++ build & release engineering and edge delivery - making autonomy software shippable, repeatable, and dependable in real environments.

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Responsibilities: Construct, route, and install wire harnesses according to engineering schematics and specifications. Collaborate with mechanical engineers and other team members to integrate wire harnesses into various components of the vessel, such as propulsion systems, sensors, and communication devices. Conduct thorough inspections of completed wire harness assemblies to verify accuracy, functionality, and compliance with industry standards and project requirements. Identify and troubleshoot electrical and mechanical issues related to wire harnesses during assembly and testing phases, implementing solutions to ensure optimal performance. Maintain detailed records of wire harness assembly procedures, modifications, and testing results to facilitate future reference and continuous improvement efforts. Adhere to all safety protocols and regulations to create a safe working environment for yourself and your colleagues. Work closely with cross-functional teams, including electrical engineers, mechanical technicians, and project managers, to achieve project milestones and deliverables within established timelines.

Requirements: Proficiency in wire harness assembly techniques, including soldering, crimping, and connector termination, with a strong understanding of electrical and mechanical principles. Previous experience in a similar role, preferably in a manufacturing or engineering environment, with a demonstrated track record of success in assembling and integrating complex electrical systems. Meticulous attention to detail and precision, with the ability to accurately interpret engineering drawings, wiring diagrams, and technical specifications. Strong analytical and troubleshooting abilities, with the capacity to identify and resolve electrical and mechanical issues efficiently and effectively. Excellent communication and interpersonal skills, with a collaborative mindset and the ability to work effectively as part of a multidisciplinary team. Flexibility to adapt to evolving project requirements and priorities in a fast-paced startup environment, with a proactive and can-do attitude. High school diploma or equivalent required; additional technical certifications or coursework in electrical engineering, mechanical engineering, or a related field preferred.

Qualifications: High School Diploma or equivalent; technical degree or certification in a related field is a plus. Proven experience as a technician or assembler, preferably in a high-tech or aerospace environment. Understanding of mechanical and electrical systems. Proficiency with hand tools, power tools, and diagnostic equipment. Ability to read and interpret engineering drawings, schematics, and technical manuals. Excellent problem-solving skills and attention to detail. Ability to work independently as well as part of a team in a fast-paced startup environment. Strong communication skills and a proactive approach to addressing challenges. IPC-620 WHMA is a plus. Soldering is a plus. Moderate computer proficiency (Excel, Slack, Email). Familiar with proper use of DMM (Digital Multi Meter).

Benefits: Medical Insurance: Comprehensive health insurance plans covering a range of services Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care Time Off: Generous PTO and Holidays Parental Leave: Paid maternity and paternity leave to support new parents Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses Retirement Plan: 401(k) plan Stock Options: Equity options to give employees a stake in the company’s success Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

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This role is based full-time in our Vancouver, BC office.

Responsibilities:

• Own full-cycle recruiting for technical roles across LayerZero: sourcing, screening, coordinating, and closing
• Partner directly with hiring managers and engineers to define role profiles, build pipelines, and calibrate signal
• Craft bespoke outbound strategies tailored to high-caliber candidates (think Principal Engineers, Compiler Experts, Core Infra Builders)
• Deliver high-quality candidate experiences at pace,speed matters, but quality matters more
• Run structured, signal-rich interviews and guide interviewers through calibration and debriefs
• Become a system builder: help scale and improve how we run recruiting, not just run reqs

About You:

• You've recruited for deeply technical roles before (backend, infra, systems, protocol, Rust)
• You know how to write compelling outbound that gets replies,and understand how to tailor messaging across profiles
• You're comfortable assessing resumes, probing for signal, and escalating red flags early
• You care about candidate experience, but not at the expense of rigor
• You're motivated by impact: you want to help define the DNA of an engineering org at the frontier

Bonus Points:

• You've hired in early-stage environments before (0→1 recruiting muscle)
• You're fluent in Web3, or technical enough to ramp quickly
• You've run debriefs, driven interviewer training, or contributed to rubric design

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The role involves intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products.

As a DFT Junior Engineer, you will own DFT tasks, create timing constraints for mission and DFT modes, work with design and implementation teams, support customer IP integration and silicon bring-up, automate workflows with scripting, and mentor junior team members.

The impact you will have includes enhancing IP core testability and quality, accelerating time-to-market for new chipsets, facilitating seamless SoC integration, promoting best practices and team growth, advancing DFT methodologies at Synopsys, and supporting customers during silicon bring-up.

To be successful in this role, you will need a degree in Electronics, Electrical Engineering, or a related field, no DFT experience required for junior roles, knowledge of scan insertion, ATPG, JTAG, experience with Synopsys tools (Design Compiler, VCS, TetraMAX) preferred, and scripting skills (Perl, TCL, Python).

You will be an analytical, detail-oriented, proactive, collaborative and communicative individual who is adaptable and eager to learn.

Join a skilled DFT engineering team that values collaboration, innovation, and technical excellence. Benefit from mentorship and tackle industry-leading challenges together.

We offer a comprehensive range of health, wellness, and financial benefits. Your recruiter will share more about salary and benefits during the process.

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Our high-speed interface IP (PCIE/CXL/USB/DP) subsystem solution is gradually becoming a key module of AI acceleration, GPGPU, Big-Data SOC chips. More and more customers have adopted our latest PCIE GEN6/GEN7 with CXL/IDE to improve security, reduce system latency, and meet the high bandwidth demands of high-end SOCs such as various cloud services, AI, and GPGPU.

Responsibilities:

• Implement IP (PCIE/CXL/USB/DP) subsystem design using synthesis, timing optimization, SDC writing, CDC/RDC checking, etc.
• Work with internal teams and customers to ensure successful integration and validation of the IP subsystem.
• Collaborate with cross-functional teams to develop and maintain design documentation, test plans, and other deliverables.

Requirements:

• Minimum 5+ years of experience in IP/ASIC/SOC design implementation.
• Hands-on experience in synthesis, timing optimization, SDC writing, CDC/RDC checking, etc.
• Domain understanding of one of the interface standards: PCIe, USB, Display Port, Ethernet, or DDR.
• Good communication skills while interacting with internal teams and customers.

Preferred Experience:

• Experience in Design Compiler, Fusion Compiler, PrimeTime, Spyglass, or VC Spyglass.
• Experience in DesignWare Core IPs or PHYs.
• Experience in TCL, Perl, Python, or other shell scripting.

Benefits:

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.

You Are:

You are a passionate and driven Physical Design Engineer with a strong foundation in RTL2GDSII flows and a proven ability to independently own and deliver complex designs. With at least 5 years of hands-on experience in advanced technology nodes such as 7nm, 5nm, or even 3nm, you thrive in fast-paced, innovative environments and are eager to tackle new technical challenges. Your expertise spans the entire physical design spectrum,from synthesis, place & route, and clock tree synthesis (CTS) to timing optimization, static timing analysis (STA), timing closure, EMIR, and physical verification. You have experience in both block-level and full-chip floor-planning, and you’re adept at navigating timing constraints and closing timing on aggressive schedules. Your toolset includes industry-leading Synopsys solutions like Design Compiler, IC Compiler II, and PrimeTime, allowing you to deliver optimal results for high-frequency, low-power designs.

Beyond your technical skills, you are a collaborative team player who communicates effectively across global teams, valuing diversity of thought and experience. You are motivated by problem-solving, have a keen analytical mindset, and are always seeking opportunities to automate and optimize workflows using Python, PERL, TCL, or other scripting languages. You take ownership of your work and pride yourself on delivering high-quality, robust solutions that drive organisational success. If you are excited about contributing to leading-edge silicon design and want to make a tangible impact, Synopsys is the place for you.

What You’ll Be Doing:

• Independently own and drive full RTL2GDSII physical design implementation for advanced process nodes (7nm/5nm/3nm), ensuring successful tape-outs.
• Execute synthesis, place & route, clock tree synthesis (CTS), timing optimisation, and static timing analysis (STA) to meet stringent performance and power targets.
• Perform block-level and full-chip floor-planning, physical verification, EMIR analysis, and timing closure activities.
• Collaborate with cross-functional teams across geographies to resolve complex design challenges and ensure design quality and schedule adherence.
• Utilise and optimise Synopsys EDA tools, including Design Compiler, IC Compiler II, and PrimeTime, to deliver state-of-the-art silicon solutions.
• Develop and maintain automation scripts in Python, PERL, TCL, or other relevant languages to streamline design flows and improve efficiency.
• Contribute to the continuous improvement of design methodologies and best practices, sharing insights and mentoring junior engineers as needed.

The Impact You Will Have:

• Accelerate the delivery of high-performance, low-power silicon solutions that power next-generation technology platforms worldwide.
• Enable Synopsys customers to achieve first-pass silicon success through robust and innovative physical design implementations.
• Drive technical excellence and best practices within the team, influencing the future direction of physical design methodologies at Synopsys.
• Foster a collaborative and inclusive culture by working seamlessly with global teams and sharing technical expertise.
• Contribute to Synopsys’ leadership in EDA tools adoption, providing valuable feedback to enhance product offerings and customer satisfaction.
• Support strategic customer engagements and help expand Synopsys' presence in the semiconductor ecosystem through successful project outcomes.

What You’ll Need:

• Bachelor’s or Master’s degree (BE/BTech/MTech or equivalent) in Electronics, Electrical Engineering, or a related field.
• 5+ years of relevant experience in physical design, particularly in advanced technology nodes (7nm/5nm/3nm).
• Comprehensive hands-on experience with RTL2GDSII flows, including synthesis, place & route, CTS, timing optimisation, STA, EMIR, and physical verification.
• Proficiency with Synopsys EDA tools such as Design Compiler, IC Compiler II, and PrimeTime.
• Strong scripting and automation skills using Python, PERL, TCL, or similar languages.
• Solid understanding of timing constraints, timing closure, and floor-planning techniques for both block-level and full-chip designs.
• Exposure to high-frequency design and low-power design methodologies.

Who You Are:

• Proactive, self-motivated, and driven to achieve technical excellence.
• Exceptional problem-solving and analytical skills with a keen attention to detail.
• Excellent communication and interpersonal abilities, comfortable working in diverse and global teams.
• Collaborative team player who values knowledge sharing and mentoring others.
• Adaptable and open to learning new technologies and methodologies in a rapidly evolving field.

The Team You’ll Be A Part Of:

You’ll join a world-class team of physical design engineers at Synopsys, dedicated to delivering innovative system design solutions for our global customers. Our team thrives on collaboration, technical excellence, and a shared passion for pushing the boundaries of semiconductor design. Working closely with experts across multiple domains, you will play a key role in empowering customers to achieve their silicon goals while contributing to Synopsys’ leadership in the industry.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, colour, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Benefits:

At Synopsys, innovation is driven by our incredible team around the world. We feel honoured to work alongside such talented and passionate individuals who choose to make a difference here every day. We’re proud to provide the comprehensive benefits and rewards that our team truly deserves.

Visit Benefits Page

• Health & Wellness

Comprehensive medical and healthcare plans that work for you and your family.

• Time Away

In addition to company holidays, we have ETO and FTO Programs.

• Family Support

Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.

• ESPP

Purchase Synopsys common stock at a 15% discount, with a 24-month look-back.

• Retirement Plans

Save for your future with our retirement plans that vary by region and country.

• Compensation

Competitive salaries.

** Benefits vary by country and region - check with your recruiter to confirm

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Your primary focus will be on supporting customers in enjoing Synopsys products, specifically in the areas of Place & Route (physical), Synthesis (logical and physical), STA experience and knowledge. Additionally, you will be knowledgeable in multiple domains of design implementation and understand codependency of flow and methodology such as Macro & Standard Cell Placement, Clock Tree Synthesis, Routing, Advanced Timing Optimization techniques.

You will also articulate design methodologies involving Synopsys tools at a very advanced Node (Sub 5nm) using Synopsys Full RTL-to-GDSII solution (Fusion Compiler / IC Compiler II/ICC2).

As a member of our high-performing Customer Application Services team, you will collaborate closely with R&D, sales, and product groups to ensure that Synopsys customers achieve their design goals efficiently and effectively.

Responsibilities:

• Support customers in enjoying Synopsys products, specifically in the areas of Place & Route (physical), Synthesis (logical and physical), STA experience and knowledge.
• Articulate design methodologies involving Synopsys tools at a very advanced Node (Sub 5nm) using Synopsys Full RTL-to-GDSII solution (Fusion Compiler / IC Compiler II/ICC2).
• Collaborate closely with R&D, sales, and product groups to ensure that Synopsys customers achieve their design goals efficiently and effectively.
• Manage multiple customer activities concurrently, and work with Account Managers and AC management to set their priorities.
• Sales support roles include product demonstrations, evaluations, and competitive benchmarking. Customer support roles include training, problem resolution, and technical account management.

Key Qualifications:

• Design Implementation experience should include ASIC design using industry-standard tools (Placement, Optimization, CTS, Routing)
• RTL to GDSII full flow experience or knowledge is preferable
• Strong interest and understanding of Advanced Node & Design methodologies are required.
• In-depth Synopsys Back end tool (Logical and Physical Synthesis, AI methodologies, Timing Closure techniques, Macro Placement, Routing at advanced Node, Static Timing Analysis, including noise analysis) experience and knowledge are required.
• Knowledge of several Clock Tree Synthesis methodologies like H-Tree, MS-CTS is preferred
• Excellent verbal and written presentation/communication skills are mandatory.
• Customer sensitivity, the ability to multiplex many issues & set priorities, and the desire to help customers exploit new technologies are essential for success in the position.

Preferred Experience:

• BSEE or equivalent, required with 7+ years of experience, or MSEE, or equivalent with 5+ years of experience.
• Tool knowledge expected: Back end P&R tools (Fusion Compiler, ICC2, Innovus)
• Tool knowledge (preferred): front end Synthesis tools (Fusion Compiler, Design Compiler, Genus),
• Tool knowledge (preferred): STA (Primetime, Tempus)

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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:

• Collaborate with R&D architects and customers on hardware-assisted verification products.

• Drive all aspects of the technology life cycle, from development to product sign-off and customer deployment.

• Define test strategies and methodologies to improve ease-of-use, quality of results, and interoperability with other Synopsys tools.

• Become an expert in emulation and prototyping methodologies and flows, including design, partitioning, testing, synthesis, and simulation-based verification.

• Leverage your close interaction with customers, R&D, Marketing, and Sales teams to demonstrate the differentiated emulation/verification environment.

• Adapt to recognised best practices and policies in Synopsys to become proficient in various processes involved in the Product Release Cycle.

• Work with designs from varied verticals to enable and support key ZeBu products in early-stage development.

The Impact You Will Have:

• Enhance Synopsys' emulation and prototyping solutions by driving technology development and customer deployment.

• Improve the ease-of-use, quality of results, and interoperability of Synopsys tools, contributing to overall product excellence.

• Provide expert consultation for solving complex problems, thereby increasing customer satisfaction and product adoption.

• Ensure successful execution of projects from start to completion, contributing to the timely delivery of high-quality products.

• Support the advancement of cutting-edge designs in various verticals such as HPC, AI, storage, networking, and automotive.

• Facilitate the proliferation of Synopsys' differentiated emulation/verification environment through close collaboration with multiple teams.

What You’ll Need:

• BSEE/MS with 7+ years of related experience.

• Expertise in Emulation and/or Prototyping flows, systems, and methodologies.

• Strong proficiency in Verilog, System Verilog, and VHDL.

• Understanding of verification concepts and experience with functional simulators.

• Experience with scripting languages.

• Knowledge in Simulation flows, Assertion, DPI, and Transactors.

• Complex problem-solving and debugging skills.

• Strong communication skills and the ability to interact with customers and peers.

• Knowledge in synthesis and timing analysis concepts (preferred).

• Familiarity with Synopsys solutions and tools like ZeBu, HAPS, VCS, Verdi, Proto Compiler, Synplify, DC, and Formality (preferred).

• Experience with Xilinx & Altera architecture and toolchains (preferred).

• Understanding of SW/HW debug methodologies and experience with standard SW/HW debug tools (preferred).

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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You are a highly skilled engineer with deep expertise in analog design and memory compiler flow. You excel in a dynamic environment, leveraging your proficiency in Circuit design, Memory architecture, Python, and Hspice to deliver innovative, high-quality solutions. Your strategic mindset and technical acumen allow you to solve complex engineering challenges and collaborate effectively across multiple functional areas.

Key Responsibilities:

Designing, developing, and evaluating physical IP - Memory compilers (SRAM/RF/ROM/TCAM etc.). Applying your expertise in Circuit design, Memory architecture, Python, and Hspice to optimize workflows and enhance design efficiency. Collaborating with cross-functional teams to align project deliverables with business objectives. Contributing to the technical direction and problem-solving efforts within the engineering group. Sharing knowledge and supporting the professional growth of team members through technical mentorship.

Impact:

Advance our product portfolio with innovative solutions addressing market demands. Improve the efficiency and effectiveness of engineering development workflows. Solve complex engineering challenges, contributing to successful project outcomes. Support the growth and technical development of colleagues through guidance and collaboration. Contribute to Synopsys' success by delivering high-quality products on schedule. Help foster a culture of innovation and continuous improvement within the engineering team.

Requirements:

Bachelor's or master's degree in Electrical Engineering, Computer Science, or a related field. Significant experience in analog design and memory compiler flow. Proficiency in Python and Hspice. Strong problem-solving and technical skills. Ability to work collaboratively and communicate effectively within and across teams.

Team:

You will be part of a dynamic and innovative engineering team at the forefront of high-performance silicon chip and software development. Our team relentlessly pushes technology boundaries, delivering solutions that drive the Era of Pervasive Intelligence. We collaborate closely to ensure our products meet the highest standards of quality and performance.

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You will design, develop, and optimize high-performance software applications using C/C++. You will build and maintain large-scale software systems, focusing on scalability, reliability, and performance. You will collaborate with cross-functional teams to gather requirements and prioritize project deliverables.

You will participate in code reviews, promoting best practices, and contributing to codebase improvements. You will troubleshoot and debug complex software issues, ensuring robust and efficient solutions. You will stay current with industry trends and emerging technologies, integrating them into development efforts.

As a member of the team, you will drive the development of innovative software applications that empower next-generation chip design and intelligent systems. You will ensure the scalability and reliability of mission-critical software used by leading semiconductor companies worldwide.

You will elevate product quality and performance through rigorous code reviews and technical mentorship. You will enhance Synopsys' competitive edge by integrating cutting-edge technologies and methodologies into our products ΔΗΜ

The ideal candidate will have expert-level proficiency in C/C++ programming, with a strong grasp of object-oriented design and optimization techniques. You will have 5 to 10 years of experience in similar role in EDA domain, preferably in developing Simulation tools.

You will have a solid foundation in computer science including data structures, algorithms, and software design patterns. You will have experience developing and maintaining large-scale, high-performance software systems.

You will be able to troubleshoot, debug, and resolve complex software issues efficiently. Familiarity with compiler design and implementation is highly desirable. Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch) is a plus.

You will be an analytical thinker with strong problem-solving skills. You will be an effective communicator and collaborator, comfortable working across diverse teams. You will be detail-oriented and committed to delivering high-quality software solutions.

You will be a proactive learner, eager to stay ahead of industry trends and technologies. You will be adaptable and resilient, thriving in fast-paced and evolving environments. You will be a mentor and team player, willing to share knowledge and support peers.

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We are seeking a seasoned engineer with a passion for pushing the boundaries of technology to join our team. With 5-8 years of experience, you will bring a wealth of knowledge in software architecture and excel in C/C++ software development, digital simulation, compiler optimizations, and design patterns, data structures, and algorithms.

As a member of our performance team in Digital Simulation, you will work closely with both local and global teams to drive technological advancements and achieve project goals.

Responsibilities:

• Designing, developing, and troubleshooting core algorithms for compiler.
• Collaborating with local and global teams to enhance runtime performance for verilog compiler.
• Engaging in pure technical roles focused on software development and architecture.
• Utilizing your knowledge of digital simulation flows and EDA tools to drive innovation.
• Leveraging your expertise in Verilog, SystemVerilog, and VHDL to develop cutting-edge solutions.

Impact:

• Driving technological innovation in chip design and verification.
• Enhancing the performance and quality of simulation tools used globally.
• Solving complex compiler optimizations problems to improve simulation performance.
• Collaborating with cross-functional teams to achieve project milestones.
• Pioneering new software architectures that set industry standards.

Requirements:

• Strong hands-on experience in C/C++ based software development.
• Deep understanding of design patterns, data structures, algorithms, and programming concepts.
• Knowledge of ASIC design flow and EDA tools and methodologies.
• Proficiency in Verilog, SystemVerilog, and VHDL HDL.

Who You Are:

• Highly enthusiastic and energetic team player with excellent communication skills.
• Strong desire to learn and explore new technologies.
• Effective problem-solver with a keen analytical mind.
• Experienced in working on Unix/Linux platforms.
• Adept at using developer tools such as gdb and Valgrind.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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These engineers play a crucial role in advancing technology and enabling innovations in various industries.

You are a seasoned hardware engineering professional with a passion for advanced silicon package design and a proven track record in delivering innovative solutions for complex semiconductor challenges. With more than a decade of hands-on experience in package and interposer design, you possess a deep understanding of the latest advancements in 3DIC and multi-physics analysis.

Collaborating with cross-functional teams during early design stages to optimize and define SIPI (Signal Integrity/Power Integrity) performance requirements, including bump mapping and power estimation.

Designing and developing advanced silicon package solutions such as silicon interposers, RDL fanout packages, and silicon bridge packages.

Modeling and analyzing advanced package designs to ensure optimal electrical, thermal, and mechanical performance.

Representing Synopsys on business unit projects as a technical leader and subject matter expert in advanced packaging.

Resolving a wide range of design and integration issues using creative, data-driven approaches.

Supporting customer engagements in exploring and implementing advanced package solutions with Synopsys IPs.

Collaborating with global teams to share best practices and drive innovation in advanced packaging methodologies.

Empowering Synopsys and its customers to deliver next-generation, high-performance silicon solutions.

Accelerating the adoption of advanced packaging technologies that enable new levels of integration and energy efficiency.

Enhancing the performance, reliability, and manufacturability of Synopsys IP test chip packages.

Driving technical excellence and innovation in business unit projects that define Synopsys' leadership in the semiconductor industry.

Mentoring and guiding engineering peers, fostering a culture of knowledge sharing and continuous improvement.

Setting new industry standards for quality, performance, and innovation in advanced package design.

Building and strengthening customer relationships through expert support and collaboration.

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They work on assignments like designing, developing, and troubleshooting software, leveraging the state-of-the-art technologies like AI/ML, GenAI and Cloud. Their critical contributions enable world-wide EDA designers to extend the frontiers of semiconductors and chip development.

You are an accomplished software engineer with a passion for innovation and a drive to solve challenging problems. With a minimum of 5 years of experience in software development, you possess deep expertise in C/C++ and a thorough understanding of data structures and algorithms. You’re familiar with operating systems, compilers, networks, and internet-related tools, and have hands-on experience in developing complex software projects. Your background includes working with Hierarchical DFT, 1687, Pattern Porting, and CAD tool development, and you are keen to expand your knowledge in these areas. You approach issues with creativity, exercise independent judgment, and thrive in collaborative environments where you can guide and mentor junior peers. You embody a growth mindset, always eager to learn new technologies and refine your skills. Your analytical acumen and problem-solving abilities enable you to navigate ambiguity and deliver robust solutions. You value diversity, inclusivity, and teamwork, believing that the best results are achieved through open communication and shared expertise. You are proactive, adaptable, and committed to excellence, ready to make a significant impact within a forward-thinking organisation.

Designing, developing, troubleshooting, and debugging sophisticated software programs and tools. Building and enhancing software solutions including operating systems, compilers, routers, networking utilities, databases, and internet-related applications. Determining hardware compatibility and influencing hardware design to optimise software performance. Creating robust algorithms and data structures to solve complex engineering problems. Collaborating with cross-functional teams to execute projects from conception to completion. Guiding and mentoring junior team members, sharing expertise and fostering a collaborative learning environment. Analysing, diagnosing, and resolving technical issues with creative and effective solutions.

Driving innovation in chip design and verification through advanced software development. Enhancing the performance, efficiency, and reliability of Synopsys tools and solutions. Contributing to the successful delivery of high-performance silicon chips for global customers. Empowering teams with technical leadership, knowledge sharing, and mentorship. Influencing hardware and software integration for optimal system outcomes. Helping Synopsys maintain its leadership in the semiconductor and software industry through continuous improvement and creative problem-solving.

Minimum of 5 years’ experience in software development, preferably in high-tech or semiconductor domains. Expertise in C/C++ programming and a strong foundation in data structures and algorithms. Hands-on experience with operating systems, compilers, networks, and internet-related tools. Prior knowledge and experience in Hierarchical DFT, 1687, Pattern Porting, and CAD tool development. Ability to resolve complex technical issues independently and creatively. Familiarity with hardware-software integration and performance optimisation.

Analytical thinker with exceptional problem-solving skills. Effective communicator and collaborative team player. Proactive learner with a growth mindset and adaptability to new technologies. Mentor and guide for junior engineers, fostering inclusion and knowledge sharing. Independent decision-maker who thrives in dynamic, fast-paced environments.

You’ll join a talented and diverse engineering team at Synopsys, focused on driving the next generation of software tools for chip design and verification. The team collaborates closely across disciplines, blending expertise in software and hardware to deliver industry-leading solutions. You’ll work alongside passionate engineers dedicated to continuous learning, innovation, and excellence.

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, colour, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

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Our Hardware Engineers at Synopsys are responsible for designing and developing cutting-edge semiconductor solutions. They work on intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products.

Job Description

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.

You Are:

You are a passionate and forward-thinking digital design expert with a strong foundation in ASIC RTL design and a proven track record of delivering complex, high-performance IP cores. With a Bachelor’s or Master’s degree in EE, EC, or VLSI and over four years of relevant industry experience, you thrive in dynamic, multi-site environments and excel at translating functional specifications into robust, scalable architectures.

Responsibilities

Architecting and implementing state-of-the-art RTL designs for the DesignWare IP family, targeting commercial, enterprise, and automotive applications.

Translating standard and functional specifications into detailed micro-architectures and comprehensive design documentation for medium to high complexity features.

Leading and contributing hands-on to RTL coding, synthesis, CDC analysis, debug, and test development tasks.

Collaborating with global teams and engaging directly with customers to understand and refine specification requirements.

Driving technical excellence in design processes, including linting, static timing analysis, formal checking, and P&R-aware synthesis using tools such as Fusion Compiler.

Mentoring and technically leading a team of designers, providing guidance on best practices and innovative design methodologies.

Utilizing version control systems and scripting to manage design flows and automate repetitive tasks for improved efficiency.

Requirements

Bachelor’s or Master’s degree in Electrical Engineering, Electronics, VLSI, or related field.

4+ years of hands-on industry experience in ASIC RTL design, with a strong portfolio of completed projects.

Deep expertise in data path and control path design, including experience with Reed Solomon FEC, BCH codes, CRC architectures, and MAC SEC engines.

Proficiency in synthesizable Verilog/SystemVerilog, simulation tools, and design flows including lint, CDC, synthesis, and static timing analysis.

Familiarity with high-speed design (>600MHz), P&R-aware synthesis, and EDA tools such as Fusion Compiler.

Experience with version control systems (e.g., Perforce) and scripting languages (Perl, Shell) for design automation.

Knowledge of industry protocols: Ethernet, DDR, PCIe, USB, MIPI-UFS/Unipro, SD-MMC, AMBA (AMBA2, AXI).

Exposure to quality processes in IP design and verification is an advantage.

Prior experience as a technical lead or mentor is highly desirable.

Who We Are Looking For

Innovative thinker with a solutions-oriented mindset and a passion for technology.

Excellent communicator who thrives in collaborative, multicultural, and multi-site environments.

Natural leader with mentoring abilities, fostering inclusion and diversity within the team.

Detail-oriented professional with strong analytical and problem-solving skills.

Self-motivated, adaptable, and eager to drive technical excellence and process improvements.

Committed to continuous learning and staying ahead of industry trends.

The Team You’ll Be A Part Of

You will join the R&D Solutions Group at our Bangalore Design Center, as part of the DesignWare IP Design team. This diverse and innovative group is dedicated to architecting, developing, and delivering cutting-edge IP cores that enable Synopsys’ global customers to achieve their design goals.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings.

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Responsibilities:

• Research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets.
• Work directly with other technical experts in their fields to perform in-depth analysis and optimization of complex AI and HPC workloads to ensure the best possible performance on modern CPU and GPU architectures.
• Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.
• Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

Requirements:

• An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
• 5+ years of relevant work or research experience.
• Direct experience improving the performance of large computational applications used by financial institutions.
• Excellent understanding of linear algebra.
• Programming fluency in C/C++ with a deep understanding of algorithms and software design.
• Hands-on experience with low-level parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc.
• In-depth expertise with CPU/GPU architecture fundamentals.
• Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

Ways to stand out from the crowd:

• A Master’s or PhD in a relevant field is highly valued.
• Prior work experience in capital markets with exposure to systematic/algorithmic strategies and quantitative trading.
• Experience with parallelizing and optimizing machine learning algorithms like decision trees, time series, and Monte Carlo simulations.
• Deep knowledge of financial data models, pricing/risk simulation algorithms, portfolio optimization, or other financial specific applications/ services.
• Have developed ML/DL techniques in the finance space, such as stock market prediction, fraud detection, portfolio optimization/selection.

You will also be eligible for equity and benefits.

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We are seeking a highly skilled Senior Payroll Specialist to lead and support the payroll process within our organisation. This role will collaborate closely with HR, Finance, Technology, and external vendors to ensure accurate, compliant, and efficient payroll operations.

Responsibilities

Payroll Implementation & Process Ownership

• Lead end-to-end implementation of the new payroll model for Mexico, including requirements gathering, testing, migration, and go-live support.
• Partner with HR, Finance, and IT teams to define payroll processes, workflows, SLAs, and controls.
• Coordinate with external payroll providers, ensuring alignment with contractual obligations and service quality.
• Develop and document payroll procedures, internal controls, and compliance frameworks.

Payroll Operations

• Validate payroll calculations, statutory deductions, year-end processes (ISR annual adjustment), and social security obligations (IMSS, INFONAVIT).
• Ensure compliance with Mexican labor laws (LFT), tax laws (SAT), and social security regulations.
• Manage payroll audits, internal/external reviews, and support SOX or regulatory audits if applicable.
• Monitor changes in legislation affecting payroll and lead necessary updates.

Data Management & Reporting

• Ensure accuracy of employee data in HRIS and payroll systems.
• Generate and analyze payroll reports for stakeholders, including Finance and HR.
• Prepare KPIs and continuous improvement initiatives to optimise payroll processes.

Stakeholder & Vendor Management

• Act as the primary point of contact for escalations related to payroll.
• Collaborate with cross-functional teams to resolve discrepancies and ensure timely issue resolution.
• Manage and evaluate payroll vendor performance, tools, and service delivery

Skills

• Proven track record in payroll system implementation or transformation projects.
• Strong knowledge of:

+ Mexican payroll legislation (ISR, IMSS, INFONAVIT). + CFDI payroll stamping. + Severance calculations, variable compensation, bonuses, and benefits taxation. + Experience with major payroll or HRIS platforms (e.g., Workday, SAP, Ceridian, Meta4, or local Mexican payroll software).

Benefits

This position comes with a competitive compensation and benefits package, including a competitive salary and performance-based bonuses, comprehensive benefits package, flexible work arrangements, private health insurance, paid time off, and training & development opportunities in partnership with renowned companies.

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We are seeking an associate-level quantitative researcher to support and expand our growing suite of models for estimating the value of private assets and producing next-generation, real-time private market indices.

Role Description

The role centers on the development, operation, and continuous enhancement of Nowcasting models—managing day-to-day index estimation, improving model performance, and ensuring a robust, high-quality production process. A key challenge will be adapting these models to new situations, data conditions, and asset-class features, and determining when extensions or methodological changes are appropriate.

Key Responsibilities

• Manage and enhance the team’s existing Nowcasting model for private assets, including calibration, monitoring, diagnostics, and performance evaluation.
• Conduct empirical research to calibrate models to private market data and assess model performance through backtesting, benchmarking, and robustness analysis.
• Implement, maintain, and productionize model codebases, ensuring reliability, transparency, and reproducibility.
• Partner with internal stakeholders to understand use cases, communicate model behavior and limitations, and support applications of the models in investment and analytical workflows.

Qualifications

• Master’s degree in Financial Engineering, Finance, Statistics/Econometrics, Mathematics, Computer Science, or a related quantitative field; PhD preferred.
• 3+ years of experience in financial modeling role or equivalent.
• Strong grounding in empirical modeling techniques, especially time-series analysis and Bayesian methods.
• Demonstrated ability to conduct rigorous empirical research, including handling complex datasets and designing well-structured analyses.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture where collaboration and apprenticeship enrich the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities.

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Synopsys software engineers are key enablers in the world of Electronic Design Automation (EDA), developing and maintaining software used in chip design, verification, and manufacturing. They work on assignments like designing, developing, and troubleshooting software, leveraging the state-of-the-art technologies like AI/ML, GenAI, and Cloud. Their critical contributions enable world-wide EDA designers to extend the frontiers of semiconductors and chip development.

Job Description

Category

Engineering

Hire Type

Employee

Job ID

15368

Remote Eligible

No

Date Posted

02/22/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

You are an accomplished software engineer with a passion for innovation and a drive to solve challenging problems. With a minimum of 3 years of experience in software development, you possess deep expertise in C/C++ and a thorough understanding of data structures and algorithms. You’re familiar with operating systems, compilers, networks, and internet-related tools, and have hands-on experience in developing complex software projects. Your background includes working with Hierarchical DFT, 1687, Pattern Porting, and CAD tool development, and you are keen to expand your knowledge in these areas. You approach issues with creativity, exercise independent judgment, and thrive in collaborative environments where you can guide and mentor junior peers. You embody a growth mindset, always eager to learn new technologies and refine your skills. Your analytical acumen and problem-solving abilities enable you to navigate ambiguity and deliver robust solutions. You value diversity, inclusivity, and teamwork, believing that the best results are achieved through open communication and shared expertise. You are proactive, adaptable, and committed to excellence, ready to make a significant impact within a forward-thinking organization.

What You’ll Be Doing:

• Designing, developing, troubleshooting, and debugging sophisticated software programs and tools.

• Building and enhancing software solutions including operating systems, compilers, routers, networking utilities, databases, and internet-related applications.

• Determining hardware compatibility and influencing hardware design to optimize software performance.

• Creating robust algorithms and data structures to solve complex engineering problems.

• Collaborating with cross-functional teams to execute projects from conception to completion.

• Guiding and mentoring junior team members, sharing expertise and fostering a collaborative learning environment.

• Analyzing, diagnosing, and resolving technical issues with creative and effective solutions.

The Impact You Will Have:

• Driving innovation in chip design and verification through advanced software development.

• Enhancing the performance, efficiency, and reliability of Synopsys tools and solutions.

• Contributing to the successful delivery of high-performance silicon chips for global customers.

• Empowering teams with technical leadership, knowledge sharing, and mentorship.

• Influencing hardware and software integration for optimal system outcomes.

• Helping Synopsys maintain its leadership in the semiconductor and software industry through continuous improvement and creative problem-solving.

What You’ll Need:

• Minimum of 5 years’ experience in software development, preferably in high-tech or semiconductor domains.

• Expertise in C/C++ programming and a strong foundation in data structures and algorithms.

• Hands-on experience with operating systems, compilers, networks, and internet-related tools.

• Prior knowledge and experience in Hierarchical DFT, 1687, Pattern Porting, and CAD tool development.

• Ability to resolve complex technical issues independently and creatively.

• Familiarity with hardware-software integration and performance optimization.

Who You Are:

• Analytical thinker with exceptional problem-solving skills.

• Effective communicator and collaborative team player.

• Proactive learner with a growth mindset and adaptability to new technologies.

• Mentor and guide for junior engineers, fostering inclusion and knowledge sharing.

• Independent decision-maker who thrives in dynamic, fast-paced environments.

The Team You’ll Be A Part Of:

You’ll join a talented and diverse engineering team at Synopsys, focused on driving the next generation of software tools for chip design and verification. The team collaborates closely across disciplines, blending expertise in software and hardware to deliver industry-leading solutions. You’ll work alongside passionate engineers dedicated to continuous learning, innovation, and excellence.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Benefits

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.

Visit Benefits Page

• ### Health & Wellness

Comprehensive medical and healthcare plans that work for you and your family.

• ### Time Away

In addition to company holidays, we have ETO and FTO Programs.

• ### Family Support

Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.

• ### ESPP

Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.

• ### Retirement Plans

Save for your future with our retirement plans that vary by region and country.

• ### Compensation

Competitive salaries.

\\ Benefits vary by country and region - check with your recruiter to confirm

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Defining and deploying advanced layout methodologies that accelerate execution, enhance quality, and promote standardized best practices across global teams.

Gathering customer requirements, translating them into clear technical specifications, and ensuring these specifications drive methodology and workflow development.

Developing end-to-end workflows that enhance quality, consistency, and efficiency across Synopsys IP development.

Collaborating closely with cross-functional teams—including Circuit Design, Physical Design, CAD, Product Engineering, and Quality—to enable adoption of methodologies for advanced technology nodes.

Providing technical leadership across distributed teams, aligning planning and execution to meet project goals.

Defining, tracking, and analyzing performance metrics to drive continuous improvement and influence future methodology strategy.

Creating and maintaining comprehensive documentation to ensure clarity, scalability, and long-term usability.

Engaging with internal partners and external customers as a trusted technical representative of the Methodology Team.

Leading innovation in analog/mixed-signal layout flows, combining industry-standard tools and internal automation to validate and evolve methodologies.

Mentoring and supporting junior engineers, enabling skill growth and knowledge sharing across the organization.

Accelerating and improving the reliability of analog/mixed-signal IP development at advanced nodes.

Driving alignment and quality across global design teams through standardized workflows and strong technical leadership.

Strengthening collaboration and knowledge transfer across engineering disciplines.

Influencing organizational and product strategy through methodology innovation and customer insights.

Increasing transparency and maintainability of workflows through high-quality documentation.

Contributing to reinforcing Synopsys’ position as a leader in semiconductor design technology.

5+ years in analog/mixed-signal layout or ASIC physical design, with experience in FinFET and advanced nodes strongly preferred.

Deep knowledge of analog and mixed-signal CMOS layout, device-level considerations, and chip-level integration.

Strong expertise with industry tools such as Synopsys Custom Compiler, Cadence Virtuoso, ICV, Calibre, and related verification flows.

Proven ability to gather customer requirements and convert them into technical specifications.

Demonstrated experience building workflows that improve IP quality, efficiency, and consistency.

Strong organizational skills, attention to detail, and ability to manage multiple complex initiatives simultaneously.

Excellent communication, leadership, and mentoring abilities.

Innovative and proactive in solving complex engineering challenges.

Collaborative, with a talent for working across interdisciplinary teams.

Strategic thinker who balances technical depth with big-picture vision.

Effective communicator, able to convey technical concepts to diverse audiences.

Mentor and coach, dedicated to supporting the growth of others.

Adaptable and resilient in fast-paced and evolving environments.

You will join the Mixed Signal IP Technology and Methodology Team—an advanced physical design group focused on developing full-custom analog and ASIC layout solutions for high-speed integrated circuits. The team is known for its collaborative culture, cutting-edge tool ecosystem, and strong commitment to innovation. As a Staff Engineer, you’ll work closely with experienced layout engineers, CAD specialists, and circuit designers to help define best-in-class methodologies and deliver high-quality solutions for Synopsys’ global customers.

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

Synopsys Canada ULC values the diversity of our workforce. We are committed to provide access & opportunity to individuals with disabilities and will provide reasonable accommodation to individuals throughout the recruitment and employment process. Should you require an accommodation, please contact hr-help-canada@synopsys.com.

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Your proactive approach and problem-solving abilities make you a trusted advisor for both internal stakeholders and external customers. You are detail-oriented, yet able to see the big picture, ensuring that every design meets rigorous standards for quality, performance, and scalability. You enjoy guiding teams through challenging technical obstacles and are always eager to explore new technologies and methodologies that can enhance product development. Your communication skills are top-notch, enabling you to clearly articulate complex concepts to diverse audiences. You value inclusion and respect, fostering a team culture where every voice is heard and every idea is considered.

Role Details

• Oversee junior engineers and lead the design, implementation, verification, and physical synthesis of NVM controllers for OTP and MTP products at advanced technology nodes.
• Provide digital guidance for new product developments, ensuring robust architecture and innovative solutions.
• Manage the maintenance and enhancement of digital control blocks, chip test systems, circuit models, and design-for-test circuits.
• Participate in all phases of the ASIC design cycle, including architecture definition, modeling, RTL coding, verification, synthesis, and place & routing.
• Deliver technical support to internal teams, application engineers, and customers during product integration phases.
• Collaborate with cross-functional teams to optimize design flows and ensure seamless integration of digital components.
• Drive continuous improvement initiatives and promote best practices in digital design and verification methodologies.

Benefits

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.

• Comprehensive medical and healthcare plans that work for you and your family.
• In addition to company holidays, we have ETO and FTO Programs.
• Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.
• Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.
• Save for your future with our retirement plans that vary by region and country.

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Responsibilities:

• Conduct early stamping process feasibility evaluation in an integrated CAD/CAE environment and coordinate between product development and manufacturing teams to lead resolution of manufacturing feasibility concerns.
• Lead the creation of draw die CAD developments and construction release files for new model stampings.
• Update and maintain existing stamping die process information for the inclusion of improvements, service requirements and carry-over modified part releases required for new model usage.
• Develop stamping die processes for new model parts, optimized for cost and quality on a timely basis to achieve company objectives.
• Lead the development of Process Failure Modes and Effects Analysis (PFMEAs) for new model stampings.
• Participate in and initiate cost requests for new model costing, evaluation of engineering proposals.
• Perform simulations of stamping processes for comprehensive formability evaluation.
• Optimize stamping processes: Perform draw and line die simulations and remain extensively involved in taking corrective measures to resolve stamping concerns through the refinement of product design and the stamping process until the launch of production to ensure that the manufactured stamping quality is in adherence to Ford standards.
• Support die design and tooling problem resolution during tool construction.

Qualifications:

• Bachelor’s Degree in Mechanical Engineering, Aerospace Engineering, Materials Science or related field; or a combination of equivalent experience and education.
• 3+ years of manufacturing experience: Die Process, CAD Draw Development, Die Design, Die Construction and / or Tryout.
• Experience with stamping and machining processes.
• Must be capable of conducting early stamping process feasibility evaluations in an integrated CAD/CAE environment.
• Must be able to perform simulations of stamping processes for comprehensive formability and dimensional evaluation.
• Must support the die design sections.
• Must be fluent with at least one stamping process simulation software: Dyna, Autoform or ESI PamStamp
• Practical CAD experience, CATIA V5 and TeamCenter a plus.
• Good verbal and written skills.

Even better, you may have:

• Tool & Die Journeyman’s Card
• Ability to support die try-out: Understand stamping dimensional errors and correction
• Highly motivated self-starter capable of delivering objectives with minimal direct supervision.
• Experience in planning, implementation, and onsite launch of manufacturing systems.
• 5+ years of automotive manufacturing experience.
• Proficiency in GD&T, part fixturing, holding datums, and tolerance stack-ups.

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Responsibilities

As a Lead Production Supervisor, you will be responsible for driving safety, quality, cost, delivery, people, maintenance, and environmental issues by understanding and consistently applying standard manufacturing operating system processes. You will validate and bridge operational needs to ensure the line is running safely, smoothly, and producing quality parts.

Safety

• Ensure department compliance with government, industry, and corporate standards
• Review department safety metrics and coordinate improvement activities

Quality

• Direct data-driven maintenance processes to improve quality metrics (e.g., higher FTT, less scrap, less contamination, etc.)
• Devise and implement strategy to tighten tolerances within specifications for fit, form and functionality

Delivery

• Coordinate the resources and activities required to ensure problem free start-ups
• Facilitate start-up/shift-to-shift meetings

Cost

• Promote and ensure continuous improvement in the manufacturing engineering organization toward the common goal of improving product quality, plant competitiveness and total cost structure
• Monitor, control, and improve Maintenance Cost Per Unit (MCPU)
• Optimize throughput in accordance with budgets and cost objectives: meet or beat schedule
• Manage and support material control (spare part inventory), repair and rebuild programs, and reliability and maintainability reviews

People

• Supervise salaried employees
• Build Team Leaders’ and Team Members’ capabilities; mentor subordinates
• Basic Administration of supervisory responsibilities and documents

Maintenance

• Lead all daily, weekend and shutdown maintenance planning with input from your team(s)
• Integrate the maintenance plan into total department business plan
• Use Maximo to analyze data and evaluate the effectiveness of the preventive maintenance plan

Environment

• Ensure department compliance with government, industry, and corporate standards

Qualifications

Minimum Requirements

• Education: High School Diploma
• Experience: 1-2 years technical work experience and troubleshooting in a Manufacturing environment
• Fundamental working knowledge of PLC logic and controls
• Ability to work any shift as well as rotating shifts and weekends

Preferred Requirements

• Education: Bachelor’s Degree in Electrical or Mechanical Engineering
• Experience: 3-5 years automotive experience
• Body shop/stamping/paint/subassembly experience preferred
• Knowledge of Lean Manufacturing principles
• Knowledge of constraint management principles
• Safety and Quality experience preferred
• Microsoft Office knowledge (Word/Excel/Outlook)
• Prior experience managing a unionized work force
• CNC machining experience (PTO specific)
• Helium leak stand experience (PTO specific)

Benefits

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, and prescription drug coverage

• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more

• Vehicle discount program for employees and family members, and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

• Paid time off and the option to purchase additional vacation time.

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Responsibilities:

• Use and have a thorough understanding of Six Sigma (Black Belt Certified requirement), Lean and Problem-Solving Methodologies and Ford Production System (FPS) approach to improve all areas of the business
• Implement and lead Ford NA Six Sigma strategy within manufacturing plant
• Coach Plant OCM and Green belts in strategic problem solving and Six Sigma methodologies
• Coach, lead and assist problem solving teams at Ford facilities and suppliers
• Teach Six Sigma Green Belt classes and help prepare students for certification
• Coach and teach Ford Production System methods including standards and project selection
• Coach and mentor Green Belts to use 6 Sigma tools properly and complete projects
• Run 6 Sigma Kaizen projects to support resolution of significant issues
• Lead 6 Sigma continuous improvement projects to resolve significant issues
• Liaison with other business units on best practices and 6 Sigma knowledge
• Support implementation of Ford Production System standards and continuous improvement tools
• Drive implementation of continuous improvement methodology and sustainability strategies with plant leadership
• Provide Ford Production System assistance and training to the plant as required
• Coach and teach Ford Production System methods including standards and project selection.

Additional Duties:

• Confirm standards are in place
• Support issues raised by the teams
• Plan changes to the system
• Manage changes to the system
• Communication and Recognition
• Develop highly competent and motivated people
• Create a conducive work environment for the team(s) to complete their assigned responsibilities / tasks
• Ensure completion of administrative responsibilities
• Supervise salaried employees

Qualifications:

• Education: High School Diploma
• Black Belt Certified
• Experience: 2-3 years’ experience as a Process Coach
• Ability to work any shift as well as rotating shifts and weekends
• Ability to work independently with limited supervision
• Capable of assigning work to unionized hourly workforce and holding employees accountable for following processes pertaining to daily work assignments in terms safety, quality, and throughput
• Strong organisational and administrative skills
• Ability to multi-task
• Strong problem-solving and conflict management skills
• Successful candidate must be able to demonstrate leadership in One FORD (leadership) behaviours combined with outstanding interpersonal, teambuilding, and communication skills

Even better, you may have:

• Education: Bachelor’s Degree
• Experience:
  • Body shop/stamping/paint/subassembly experience preferred
  • Safety and Quality experience preferred
  • Knowledge of Lean Manufacturing Principles
  • Knowledge of constraint management principles
  • Microsoft Office knowledge (Word/Excel/Outlook)
  • Prior experience managing a unionized workforce
• Knowledge of Lean Manufacturing Principles
• Knowledge of constraint management principles
• Microsoft Office knowledge (Word/Excel/Outlook)
• Prior experience managing a unionized workforce

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Our Hardware Engineers at Synopsys are responsible for designing and developing cutting-edge semiconductor solutions. They work on intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products. These engineers play a crucial role in advancing technology and enabling innovations in various industries.

Job Description

Category

Engineering

Hire Type

Employee

Job ID

16005

Remote Eligible

No

Date Posted

03/05/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

You are an accomplished and forward-thinking engineering professional with a deep passion for the intersection of artificial intelligence and semiconductor design. Your expertise spans RTL-to-GDSII flows, and you have hands-on experience with industry-leading EDA tools, especially those driving the next generation of AI and high-performance compute silicon. You are highly analytical, able to dissect complex design challenges and architect robust, scalable solutions that address both immediate and future technology needs. You thrive in customer-facing roles, translating requirements into actionable methodologies and championing innovation every step of the way.

What You’ll Be Doing:

• Partnering with leading customers to develop and implement advanced AI-driven RTL-to-GDS methodologies using Synopsys EDA tools, IPs, and libraries.

• Creating and optimizing design flows and solutions to meet aggressive PPA (performance, power, area) targets for high-frequency cores, automotive, and high-capacity AI/compute designs.

• Enabling and deploying flows/solutions leveraging Synopsys offerings such as Fusion Compiler, RTL Architect, and AI-based Design Space Optimization engines, utilizing Tcl/Python scripting for automation.

• Collaborating cross-functionally with customers, R&D, and internal teams to drive innovative solution and feature development that anticipates and addresses real-world design challenges.

• Leading and mentoring a team of junior application engineers, providing technical guidance, coaching, and project management support to ensure successful execution of deliverables.

• Delivering technical presentations, application notes, and best practices to both internal and external stakeholders, supporting knowledge-sharing and customer enablement.

The Impact You Will Have:

• Accelerate customer adoption of next-generation AI-driven design methodologies, empowering them to achieve breakthrough silicon results.

• Shape Synopsys’ technology direction by providing valuable field insights and partnering with R&D on new feature development.

• Reduce time-to-market and improve competitiveness for customers through innovative flow optimization and automation.

• Drive Synopsys’ leadership in AI-powered EDA solutions, further differentiating our offerings in a competitive market.

• Elevate the technical capabilities of the application engineering team through mentorship and cross-training.

• Enhance customer satisfaction and loyalty through proactive engagement, expert troubleshooting, and tailored technical support.

What You’ll Need:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field with 5 + years of relevant experience.

• Deep understanding of RTL-to-GDSII flows and hands-on experience with backend P&R tools (Fusion Compiler, ICC2, or similar).

• Expertise in physical synthesis, timing closure, clock tree synthesis (CTS), and routing at advanced technology nodes.

• Proficiency in Tcl and Python scripting for automating EDA workflows and optimizing design methodologies.

• Strong technical account management skills and a proven ability to lead and mentor teams in a high-performance environment.

• Outstanding verbal and written communication, presentation, and customer interaction skills.

Who You Are:

• Collaborative and empathetic leader, skilled at building relationships and enabling the success of others.

• Analytical thinker with a problem-solving mindset and a passion for continuous improvement.

• Adaptable and resilient in the face of evolving customer requirements and technology landscapes.

• Strong organizational skills, able to manage multiple projects and priorities with poise.

• Driven by curiosity and a desire to innovate at the forefront of AI and semiconductor design.

The Team You’ll Be A Part Of:

You’ll join a dynamic and diverse Application Engineering team at Synopsys Bangalore, dedicated to driving customer success and innovation in AI-enabled design automation. The team partners closely with global customers, R&D, and product management to deliver state-of-the-art solutions for the most advanced silicon on the planet. With a culture rooted in collaboration, technical excellence, and mentorship, you’ll have the opportunity to lead, learn, and contribute to the next wave of EDA innovation.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

Benefits

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.

Visit Benefits Page

• ### Health & Wellness

Comprehensive medical and healthcare plans that work for you and your family.

• ### Time Away

In addition to company holidays, we have ETO and FTO Programs.

• ### Family Support

Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.

• ### ESPP

Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.

• ### Retirement Plans

Save for your future with our retirement plans that vary by region and country.

• ### Compensation

Competitive salaries.

\\ Benefits vary by country and region - check with your recruiter to confirm

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At Synopsys, our Hardware Engineers are responsible for designing and developing cutting-edge semiconductor solutions. They work on intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products.

Job Description

Category

Engineering

Hire Type

Employee

Job ID

15995

Remote Eligible

No

Date Posted

03/05/2026

Alternate Job Titles:

• Staff ASIC Digital Design Engineer

• Staff DFT Engineer

• Staff SoC Testability Engineer

We Are:

At Synopsys, we drive innovations that shape the way we live and connect. From smart cars to AI, our technology leads chip design and verification worldwide. Join us to transform the future through continuous innovation.

You Are:

You are a proactive engineer with 5+ years of DFT experience, strong communication skills, and a drive for technical excellence. You enjoy teamwork, learning, and solving complex challenges in digital design.

What You’ll Be Doing:

• Define and implement DFT architecture for IP designs

• Perform SCAN insertion and ATPG simulation

• Analyze and improve test coverage

• Develop STA DFT timing constraints

• Prepare DFT integration guidelines for SoC

• Conduct quality checks and FMEDA/DFMEA analysis

The Impact You Will Have:

• Enhance product reliability and quality

• Support functional safety standards (ISO26262, FUSA)

• Streamline SoC integration

• Reduce debug cycles and time-to-market

• Mentor peers

• Drive innovation in test methodology

What You’ll Need:

• BS/MS/PhD in Electronics or related field

• 5+ years DFT design experience

• Expertise in Scan insertion, ATPG, JTAG

• Experience with Synopsys tools (Design Compiler, VCS, TetraMAX)

• Scripting (Perl, TCL, Python) is a plus

Who You Are:

• Responsible and collaborative

• Excellent English communication

• Team player and problem solver

The Team You’ll Be A Part Of:

Join a skilled, diverse engineering team in Da Nang focused on advancing DFT methodologies and supporting global innovation.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits. Your recruiter will provide more details during the hiring process.

Benefits

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.

Visit Benefits Page

• ### Health & Wellness

Comprehensive medical and healthcare plans that work for you and your family.

• ### Time Away

In addition to company holidays, we have ETO and FTO Programs.

• ### Family Support

Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.

• ### ESPP

Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.

• ### Retirement Plans

Save for your future with our retirement plans that vary by region and country.

• ### Compensation

Competitive salaries.

\\ Benefits vary by country and region - check with your recruiter to confirm

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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.

Apply using this link. We’re accepting applications on a rolling basis for cohorts starting in July 2026 and beyond. Applications for the May 2026 cohort are now closed.

Anthropic Fellows Program Overview

The Anthropic Fellows Program is designed to accelerate AI safety research and foster research talent. We provide funding and mentorship to promising technical talent - regardless of previous experience - to research the frontier of AI safety for four months.

Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In our previous cohorts, over 80% of fellows produced papers (more below).

We run multiple cohorts of Fellows each year. This application is for cohorts starting in July 2026 and beyond.

What to Expect

• Direct mentorship from Anthropic researchers
• Access to a shared workspace (in either Berkeley, California or London, UK)
• Connection to the broader AI safety research community
• Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD & access to benefits (benefits vary by country)
• Funding for compute (~$15k/month) and other research expenses

Mentors, Research Areas, & Past Projects

Fellows will undergo a project selection & mentor matching process. Potential mentors amongst others include:

• Jan Leike
• Sam Bowman
• Sara Price
• Alex Tamkin
• Nina Panickssery
• Trenton Bricken
• Logan Graham
• Jascha Sohl-Dickstein
• Nicholas Carlini
• Joe Benton
• Collin Burns
• Fabien Roger
• Samuel Marks
• Kyle Fish
• Ethan Perez

Our mentors will lead projects in select AI safety research areas, such as:

• Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
• Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
• Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise.
• Model Internals / Mechanistic Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
• AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.

On our Alignment Science and Frontier Red Team blogs, you can read about past projects, including:

• AI agents find $4.6M in blockchain smart contract exploits: Winnie Xiao and Cole Killian, mentored by Nicholas Carlini and Alwin Peng
• Subliminal Learning: Language Models Transmit Behavioral Traits via Hidden Signals in Data: Alex Cloud and Minh Le, et al., mentors including Samuel Marks and Owain Evans
• Open-source circuits: Michael Hanna and Mateusz Piotrowski with mentorship from Emmanuel Ameisen and Jack Lindsey

For a full list of representative projects for each area, please see these blog posts: Introducing the Anthropic Fellows Program for AI Safety Research, Recommendations for Technical AI Safety Research Directions.

You may be a good fit if you

• Are motivated by reducing catastrophic risks from advanced AI systems
• Are excited to transition into full-time empirical AI safety research and would be interested in a full-time role at Anthropic

Please note: We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit here at Anthropic. In previous cohorts, over 40% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on safety at other organisations.

• Have a strong technical background in computer science, mathematics, physics, cybersecurity, or related fields
• Thrive in fast-paced, collaborative environments
• Can implement ideas quickly and communicate clearly

Strong candidates may also have:

• Experience with empirical ML research projects
• Experience working with Large Language Models
• Experience in one of the research areas mentioned above
• Experience with deep learning frameworks and experiment management
• Track record of open-source contributions

Candidates must be:

• Fluent in Python programming
• Available to work full-time on the Fellows program for 4 months

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Interview process

The interview process will include an initial application & references check, technical assessments & interviews, and a research discussion.

Compensation

The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation

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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.

AI Security at Anthropic

We believe we are at an inflection point for AI's impact on cybersecurity. Models are now useful for cybersecurity tasks in practice: for example, Claude can now outperform human teams in some cybersecurity competitions and help us discover vulnerabilities in our own code.

We are looking for researchers and engineers to help us accelerate defensive use of AI to secure code and infrastructure.

Anthropic Fellows Program Overview

The Anthropic Fellows Program is designed to accelerate AI security and safety research, and foster research talent. We provide funding and mentorship to promising technical talent - regardless of previous experience - to research the frontier of AI security and safety for four months.

Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In our previous cohorts, over 80% of fellows produced papers (more below).

We run multiple cohorts of Fellows each year. This application is for cohorts starting in July 2026 and beyond.

What to Expect

• Direct mentorship from Anthropic researchers
• Access to a shared workspace (in either Berkeley, California or London, UK)
• Connection to the broader AI safety research community
• Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD & access to benefits (benefits vary by country)
• Funding for compute (~$15k/month) and other research expenses

Mentors, Research Areas, & Past Projects

Fellows will undergo a project selection & mentor matching process. Potential mentors include:

• Nicholas Carlini
• Keri Warr
• Evyatar Ben Asher
• Keane Lucas
• Newton Cheng

On our Alignment Science and Frontier Red Team blogs, you can read about some past Fellows projects, including:

• AI agents find $4.6M in blockchain smart contract exploits: Winnie Xiao and Cole Killian, mentored by Nicholas Carlini and Alwin Peng
• Strengthening Red Teams: A Modular Scaffold for Control Evaluations: Chloe Loughridge et al., mentored by Jon Kutasov and Joe Benton

You may be a good fit if you

• Are motivated by reducing catastrophic risks from advanced AI systems
• Are excited to transition into full-time empirical AI safety research and would be interested in a full-time role at Anthropic

Please note:

We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit here at Anthropic. In previous cohorts, over 40% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on safety at other organisations.

Strong candidates may also have:

• Contributed to open-source projects in LLM- or security-adjacent repositories
• Demonstrated success in bringing clarity and ownership to ambiguous technical problems
• Experience with pentesting, vulnerability research, or other offensive security
• A history demonstrating desire to do the 'dirty work' that results in high-quality outputs
• Reported CVEs, or been awarded for bug bounty vulnerabilities
• Experience with empirical ML research projects
• Experience with deep learning frameworks and experiment management

Candidates must be:

• Fluent in Python programming
• Available to work full-time on the Fellows program for 4 months

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

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

Interview process

The interview process will include an initial application & references check, technical assessments & interviews, and a research discussion.

Compensation

The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week, for 4 months (with possible extension).

Logistics

Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.

Workspace Locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.

Visa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.

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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 Role

Claude is used by millions of people every day through our web, mobile, and desktop applications. As these products scale, so does the complexity of coordinating across engineering teams and cross-functional partners. We need an experienced Technical Program Manager to drive critical initiatives across our product engineering organisation.

You'll be instrumental in coordinating high-complexity cross-team efforts, driving launch readiness, and ensuring seamless execution across platform and product teams. This role is critical as our products grow in scale and complexity.

Responsibilities:

• Lead cross-team engineering initiatives, coordinating between platform, product, and infrastructure teams to deliver high-quality releases
• Drive program execution for major product features, ensuring alignment across engineering, legal, policy, and other cross-functional partners
• Partner with engineering leadership to improve development velocity, manage dependencies, and remove blockers
• Build and maintain relationships across engineering teams to understand technical requirements, constraints, and tradeoffs
• Create comprehensive program documentation including roadmaps, status reports, risk assessments, and communication plans
• Facilitate technical decision-making by bringing together stakeholders, driving consensus, and ensuring timely resolution of blocking issues
• Establish processes and frameworks for scaling product development and improving engineering excellence
• Drive launch readiness across teams, ensuring predictable and well-communicated releases

You may be a good fit if you:

• Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs
• Have experience with web, mobile, or client application development and the ability to engage meaningfully with frontend and backend engineers
• Have experience coordinating across multiple engineering teams and cross-functional partners (legal, policy, etc.) simultaneously
• Are highly organised and can manage multiple parallel workstreams effectively across distributed teams
• Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations
• Have excellent written and verbal communication skills, with the ability to influence without authority
• Have a track record of building trust with technical teams and driving change through influence
• Are passionate about Anthropic's mission and interested in the challenges of bringing AI capabilities to users safely and reliably
• Have experience with high-growth products serving large user bases (preferred but not required)

Deadline to apply:

None, applications will be received on a rolling basis.

Logistics

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

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

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

Your safety matters to us.

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

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we

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

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

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

You might be a good fit if you:

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

Strong candidates may also have experience with:

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

Representative projects:

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

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

The expected salary range for this position is:

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

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As an Enterprise Account Executive, GEO at Cursor, you'll be responsible for driving revenue growth by bringing on new logos, building strategic relationships with customers and helping engineering organisations discover, adopt, and expand their use of Cursor.

This role combines technical understanding with sales expertise to help enterprises reimagine how software development can be accelerated with AI. This is a rare opportunity to sell a product that engineers already love, into accounts where you can drive transformational change in how software gets built.

What you'll do

• You'll own the full sales cycle from first outreach to close, working directly with engineering leaders, CTOs, and procurement teams at some of the world's most sophisticated software companies.

• Build and manage a healthy pipeline, meeting and exceeding quarterly targets

• Develop executive relationships and day-to-day champions within each account and become a trusted product expert; guide prospects through trials, evaluations, and rollouts

• Quantify value with clear ROI cases tied to developer productivity and AI adoption

• Design and execute innovative sales strategies; analyse market trends and translate high-level plans into targeted activities and campaigns

• Be the voice of the customer and influence the roadmap with actionable feedback

You may be a fit if

• You have 5-7+ years of closing experience in tech sales, ideally selling developer tools, technical SaaS, or emerging technologies

• You have a consistent track record of landing new logos and exceeding quota and managing a high velocity of deals

• You're comfortable navigating complex sales cycles and selling to technical stakeholders — from ICs to CTOs

• You're a true hunter - you proactively build pipeline from scratch through outbound prospecting, creative sourcing, and relentless follow-up, rather than relying on inbound demand

• You bring an analytical approach to understanding customer needs combined with creative, tactical follow-through to advance opportunities

• You're an excellent communicator who can present confidently and build trust across all levels of an organisation

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Scaling

Compensation

• $342K – $555K • Offers Equity

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

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

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 an Engineer on our hardware optimization and co-design team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and machine learning engineers to understand their unique needs related to ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. You will evangelize these constraints with various vendors to develop and influence future hardware architectures towards efficient training and inference on our models. If you are excited about efficiently distributing a large language model across devices, dealing with and optimizing system-wide/rack-wide networking bottlenecks and eventually tailoring the compute pipe and memory hierarchy of the hardware platform, simulating workloads at different abstractions and working closely with our partners, this is the perfect opportunity!

In this role, you will:

• Co-design future hardware for programmability and performance with our hardware vendors

• Assist hardware vendors in developing optimal kernels and add support for it in our compiler

• Develop performance estimates for critical kernels for different hardware configurations and drive decisions on compute core and memory hierarchy features

• Build system performance models at different abstraction levels and carry out analysis to drive decisions on scale up, scale out, front end networking

• Work with machine learning engineers, kernel engineers and compiler developers to understand their vision and needs from high performance accelerators

• Manage communication and coordination with internal and external partners

• Influence the roadmap of hardware partners to optimize them for OpenAI’s workloads.

• Evaluate potential partners’ accelerators and platforms.

• As the scope of the role and team grows, understand and influence roadmaps for hardware partners for our datacenter networks, racks, and buildings.

You might thrive in this role if you have:

• 4+ years of industry experience, including experience harnessing compute at scale and optimizing ML platform code to run efficiently on target hardware.

• Strong experience in software/hardware co-design

• Deep understanding of GPU and/or other AI accelerators

• Experience with CUDA, Triton or a related accelerator programming language

• Experience driving Machine Learning accuracy with low precision formats

• Experience with system performance modeling and analysis to optimize ML model deployment

• Strong coding skills in C/C++ and Python

• Are familiar with the fundamentals of deep learning computing and chip architecture/microarchitecture.

These attributes are nice to have:

• PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing. Compilers or other Systems

• Strong understanding of LLMs and challenges related to their training and inference

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Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $455K – $555K

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

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

About the Role

We are looking for an engineering leader who wants to build and lead the worlds leading AI systems and modeling engineers who take the world's largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production and research environment.

In this role, you will:

• Lead a team of engineers who are experts in working with distributed systems, with a deep understanding of model architecture, system co-design with research and production team,

• Work alongside partners in machine learning researchers, engineers, and product managers to bring our latest technologies into production.

• Work in an outcome-oriented environment where everyone contributes across layers of the stack, from infra plumbing to performance tuning.

• Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack.

• Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues.

• Optimize our code and fleet of GPU’s to utilize every FLOP and every GB of GPU RAM of our hardware.

You might thrive in this role if you:

• Have an understanding of modern ML architectures and an intuition for how to optimize their performance, particularly for inference.

• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

• Have at least 15 years of professional software engineering experience.

• Have or can quickly gain familiarity with PyTorch, NVidia GPUs and the software stacks that optimize them (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink, etc.

• Have experience architecting, building, observing, and debugging production distributed systems. Bonus point if worked on performance-critical distributed systems.

• Have needed to rebuild or substantially refactor production systems several times over due to rapidly increasing scale.

• Are self-directed and enjoy figuring out the most important problem to work on.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

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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About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

• Deep, hands-on operational knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behaviour, limitations, techn

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Location

San Francisco

Employment Type

Full time

Department

Compensation

• $162K – $240K • 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.

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and co

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Compensation

• $207K – $230K • 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 is building the learning and certification ecosystem that will shape how enterprises adopt AI at scale. We are launching our first wave of enterprise-grade certifications with a set of strategic launch partners. As a Launch Manager, you will own the relationships, programs, and operational execution needed to deliver world-class certification launches across our customers and product partners.

You will be the connective tissue ensuring that each partner’s certification journey is smooth, high-impact, and tightly aligned to our broader learning strategy.

About the role

You will serve as the primary point of contact for our certification partners, managing the full lifecycle from selection to launch to ongoing iteration. You will coordinate pilots, track learning outcomes, gather and translate partner feedback, and ensure that launches land cleanly inside complex enterprise environments. You will also work closely with our product partners to ensure a clear end-to-end experience.

You will work cross-functionally to ensure we deliver certification experiences that meet OpenAI’s bar for rigor, clarity, and customer impact.

In this role, you will:

Own high-impact partner relationships

• Serve as the primary strategic and operational lead for certification launch partners.

• Drive partner vision, alignment, and success criteria with leaders across L&D, HR, technical teams, and executive sponsors at our top customers

• Build trust quickly, anticipate needs, and influence partner decisions that ensure successful certification rollout and adoption.

Shape and execute the certification launch model

• Design and run partner pilots end-to-end: scoping, milestone setting, readiness, communications, logistics, and measurement.

• Build repeatable playbooks that reduce friction and raise quality across partners as the program scales.

• Proactively identify risks and unblock cross-functional dependencies before they become issues.

Drive cross-functional alignment

• Collaborate deeply with the Certification/Jobs team to align partner needs with product, assessment, and content roadmaps.

• Coordinate with Certification/Jobs to ensure certification platform capabilities meet enterprise requirements (assessment delivery, scoring, reporting, badging).

• Partner with Customer Education to ensure curriculum and assessment quality meets OpenAI’s rigor.

• Synthesize structured partner insights and influence product decisions and program evolution.

Define KPIs and champion insights

• Establish clear partner and launch metrics (activation, engagement, completion, pass rates).

• Build and maintain transparent reporting for internal stakeholders.

• Turn partner data and feedback into actionable recommendations that shape the certification strategy and OpenAI’s broader learning ecosystem.

Scale the ecosystem

• Contribute to the partner strategy for distribution—employers, platforms, training providers, and ecosystem integrators.

Identify new partnership opportunities that accelerate adoption and expand the reach of OpenAI certifications.

You may be a good fit if you:

• Have deep experience owning strategic partnerships or complex enterprise programs end-to-end.

• Thrive in ambiguous, fast-moving environments and can independently establish structure, clarity, and momentum.

• Influence senior stakeholders with ease and drive alignment across multiple organizations.

• Operate with strong product intuition and can translate partner needs into concrete requirements for Product and Engineering.

• Communicate with exceptional clarity and can navigate technical and non-technical environments confidently.

• Build processes that scale while staying lightweight and focused on impact.

• Care about responsible AI education and building certifications that are defensible and effective.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $295K – $555K • Offers Equity

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

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

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

About the Role

We are looking for an engineer who wants to take the world's largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production and research environment.

In this role, you will:

• Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production.

• Work alongside researchers to enable advanced research through awesome engineering.

• Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack.

• Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues.

• Optimize our code and fleet of Azure VMs to utilize every FLOP and every GB of GPU RAM of our hardware.

You might thrive in this role if you:

• Have an understanding of modern ML architectures and an intuition for how to optimize their performance, particularly for inference.

• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

• Have at least 5 years of professional software engineering experience.

• Have or can quickly gain familiarity with PyTorch, NVidia GPUs and the software stacks that optimize them (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink, etc.

• Have experience architecting, building, observing, and debugging production distributed systems. Bonus point if worked on performance-critical distributed systems.

• Have needed to rebuild or substantially refactor production systems several times over due to rapidly increasing scale.

• Are self-directed and enjoy figuring out the most important problem to work on.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

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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About the Role

We are seeking a highly skilled cross-stack engineer with deep expertise in making ML systems reliable at scale. This hands-on individual contributor will sit within our hardware team and work closely with chip design, platform design, hardware health, and the broader industry ecosystem to architect, implement, and deploy reliable next-generation AI accelerator systems.

Responsibilities

• Oversee DFX architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to enhance reliability and fault tolerance. DFX includes design for testability, reliability, availability, and serviceability of high-performance AI hardware.

• Build system-level reliability models grounded in empirical data to guide organization-wide DFX and reliability strategy. This requires a detailed understanding of chip and system architecture, design, implementation, and component-level reliability.

• Collaborate with chip and platform architecture/design teams to explore and implement DFX features, including the specification and implementation of digital/mixed-signal IP, firmware/system software, and DFX methodology (in partnership with engineering teams).

• Partner with hardware health and platform design teams to continuously improve reliability and fault tolerance in NPI and HVM. This includes optimizing operating conditions, designing experiments, and performing data analysis to drive continuous, data-driven improvements across the stack.

• Serve as the DFX/reliability champion and evangelist to align the broader industry ecosystem with OpenAI’s requirements and roadmap.

Qualifications

• BS with 15+ years, MS with 10+ years, or PhD with 3+ years of relevant industry experience focused on reliability across the chip/platform stack.

• Hands-on experience with RTL design and DFT is required; physical implementation and/or silicon ATE experience is preferred.

• Detailed understanding of ML chip and platform architecture and ML workload characteristics is required.

• Strong fundamentals in reliability modeling, with hands-on skills in empirical data analysis.

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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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.

XML job scraping automation by YubHub

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

You will develop and evolve the tooling ecosystem that hardware engineers rely on every day — from hardware compilers and IR transformations to simulation, debugging, and automation infrastructure. The work spans software engineering, compiler concepts, and practical hardware workflows, with direct impact on how quickly and effectively we design next-generation AI systems.

In this role you will:

• Build and improve the software tooling that makes hardware teams faster: compilation, IR transforms, RTL generation, simulation, debug, and automation.

• Extend and integrate hardware compiler stacks (frontends, IR passes, lowering, scheduling, codegen to Verilog/SystemVerilog) and connect them to real design workflows.

• Improve developer experience and reliability: reproducible builds, better error messages, faster iteration loops, and dependable CI and regression infrastructure.

• Work closely with designers and verification engineers to turn real pain points into durable tools.

• Dive into RTL when needed: read and reason about Verilog/SystemVerilog to debug issues, validate tool output, and improve debuggability.

• Be willing to go all the way down the stack when necessary, including gate-level views, synthesis results, and implementation artifacts.

• Help enable PPA optimization loops by building analysis and automation around area, timing, and power tradeoffs, and by improving tooling that impacts those outcomes.

You might thrive in this role if:

• Demonstrated ability to build and maintain software (projects, internships, research, open source, or equivalent experience).

• Strong CS fundamentals: data structures, algorithms, debugging, and software design.

• Proficiency in at least one of Rust, C++, or Python (and willingness to learn the rest).

• Familiarity with digital design concepts and the ability to read RTL (Verilog/SystemVerilog) or equivalent hardware descriptions.

• Familiarity with compiler or IR-based ideas (representations, passes, transformations, lowering), through coursework or projects.

• Comfort operating in ambiguity and iterating quickly with users of your tools.

Nice to have skills:

• Exposure to compiler and hardware toolchains such as XLS/DSLX, LLVM, Chisel/FIRRTL, CIRCT/MLIR, other novel hardware languages (e.g. HardCaml, SpinalHDL, Spade, PyMTL, Clash, BlueSpec, PyRope)

• Experience with Verilog tooling ecosystems (Yosys/RTLIL, Verilator, Slang) or writing tooling around them.

• Experience with build and test infrastructure (Bazel, CI systems, fuzzing, performance testing).

• Prior work touching synthesis, place and route, static timing analysis, or other PPA-related workflows.

To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.

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.

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Location

San Francisco

Employment Type

Intern

Location Type

On-site

Department

Applied AI

Deadline to Apply

March 11, 2026 at 3:00 AM EDT

Compensation

• $67 per hour

About the Team

The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products.

About the Role

A systems research internship is for people who love the real-world intersection of systems-engineering and research: you’ll investigate a hard systems problem, build something meaningful, and measure it carefully. The goal is practical impact—making Applied Systems better: more efficient, more scalable, and more reliable.

OpenAI is currently recruiting for candidates interested in a 13-week, paid, in-person internship based in our San Francisco office during Summer 2026. In some cases, it may be extended for an additional 13 weeks (for a total of up to 26 weeks), based on team needs, candidate interest, and performance.

In this role, you will typically focus on improving real systems in areas like:

• Distributed systems & storage (throughput, latency, consistency, durability)

• Compute & scheduling (GPU/accelerator utilization, job orchestration, queuing)

• Performance engineering (profiling, bottlenecks, scalability, capacity planning)

• Reliability & observability (fault tolerance, monitoring, incident learning)

• Networking & data pipelines (data movement, caching, streaming efficiency)

• Systems for ML (training/inference performance, evaluation infrastructure, tooling)

Most projects involve some of these steps:

• Defining a clear hypothesis (“we think X will reduce latency by Y under Z”)

• Instrumenting existing production systems, gathering metrics and detailed analysis to validate the hypothesis

• Building or modifying a real system (prototype or production-quality improvements when appropriate)

• Running experiments/benchmarks and analyzing results

• Communicating tradeoffs and recommendations clearly

• Publishing the research work in technical journals and conferences

Your background looks something like:

• Currently pursuing a PhD in Computer Science, Computer Engineering, or relevant technical field

• Proficiency with Coding in c++, Java, python, rust, etc

• Doing ongoing research on systems topics such as DL/ML, information retrieval, systems security and cryptography, databases, networking, distributed systems, and compilers, etc

• Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines

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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Team WRT is seeking an experienced Race Engineer. This position will require extensive travelling to all race, test and simulator events related to the project.

_General Summary_

• Participate at races, testing & simulator work;
• Liaise and work with other engineering colleagues transversally across the programs to share methodology and know-how which would remain intellectual property of WRT;
• Share information and proactively promote the development of the Engineering Workgroup;
• Report to the Program Manager and in matrix to the Engineering Group;
• Manage the daily engineering operations on his car including those of his car-crew in conjunction with the Crew Chief;
• Have the ability to set priorities in function of the workload and the race programs;
• Promote high-standards and quality of service and team spirit in the workforce (“Best in Class”);
• Be respectful of his colleagues and team-members, help to coach, empower and develop others
• Work in tight collaboration with the performance engineer in his team
• Collaborate with and/or lead Engineering Workgroups dedicated to development of soft-tools (eg, simulation and strategy tools) and hard-tools (eg., pit-equipment optimization, driver simulator) for improving performance of car and team (transversally across the different sporting programs)

_Knowledge and skills:_

• Multiple-year motorsport (preferably in high-level categories such as DTM (class 1), F1/F2, LMP2, Hypercar, DPI)experience and a strong technical background and experience and knowledge of racing cars.
• Previous WEC championship experience a bonus
• Hands on approach with a flexible 'Can Do' and 'Will Do' attitude
• Flexible with workload and tight deadline
• Solid knowledge of English required, notions of German considered as a bonus
• Pro-active problem solver
• Strong communicator, strong organizational and planning capacities
• Strong team-player and strong interpersonal skills, motivated to reach goals and objectives of the team
• Strong computer skills in data analysis software (WinTAX, Pi Toolbox ideally), MS Office & VBA, Matlab a plus
• Ability to perform under stressful conditions at any time
• Flexibility for travelling
• Promote are values (People, Passion, Performance) and commit to personal investment into the WRT ESG strategy.

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Le Mans

Les missions du poste

Rattaché au Responsable Technique, le Délégué Technique rejoindra l’équipe permanente de l’ACO, en charge de l’élaboration et de l’application de la réglementation technique.

Il interviendra principalement sur les championnats ALMS et ELMS, ainsi que sur leurs championnats support, et représentera l’ACO auprès des constructeurs, concurrents et fédérations partenaires.

Vous serez amené à :

Avant les événements :

•Gérer en autonomie les aspects techniques des épreuves organisées par l’ACO

•Former les équipes de contrôle en lien avec la Direction

•Préparer les notes et bulletins techniques

•Organiser les contrôles techniques et assurer le lien avec les officiels

Pendant les événements :

•Assurer le rôle de Délégué Technique, conformément au Code Sportif International

•Réaliser les contrôles techniques (initiaux, inopinés, finaux)

•Produire rapports et relevés dans les règles de l’art

Après les événements :

•Participer aux débriefings opérationnels et techniques

•Produire un reporting détaillé

•Contribuer à l’évolution des règlements techniques et sportifs (LMP2, LMP3, LMGT3)

En transversal :

•Coordonner l’activité des pôles spécialisés (Opérations, Performance, Électronique) sur le périmètre championnat

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What you'll do

• Design and implement SoC solutions using Synopsys EDA tools and IP.
• Advise customer design and CAD teams.

What you need

• BS/MS/PhD in relevant engineering fields.
• 7+ years in Place & Route with Fusion Compiler/ICC2.

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What you'll do

• The primary focus of the Physical Design Specialist (PDS) is to support the sale and adoption of Synopsys products to help customers achieve tangible and lasting performance improvements in the cost, quality, and development time for projects.
• In addition, PDS AEs will articulate design methodologies involving Synopsys tools at a very advanced Node (Sub 5nm) using Synopsys Full RTL-to-GDSII solution (Fusion Compiler / IC Compiler II/ICC2).

What you need

• Design Implementation experience should include ASIC design using industry-standard tools (Placement, Optimization, CTS, Routing)
• RTL to GDSII full flow experience or knowledge is preferable
• Strong interest and understanding of Advanced Node & Design methodologies are required.
• In-depth Synopsys Back end tool (Logical and Physical Synthesis, AI methodologies, Timing Closure techniques, Macro Placement, Routing at advanced Node, Static Timing Analysis, including noise analysis) experience and knowledge are required.
• Knowledge of several Clock Tree Synthesis methodologies like H-Tree, MS-CTS is preferred
• Excellent verbal and written presentation/communication skills are mandatory.
• Customer sensitivity, the ability to multiplex many issues & set priorities, and the desire to help customers exploit new technologies are essential for success in the position.

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What you'll do

• Providing expert technical guidance and engineering insight to support Synopsys product adoption and usability for leading semiconductor customers.
• Diagnosing, troubleshooting, and resolving complex technical issues during customer installations and deployments.
• Training customers on new implementations, features, and capabilities of Synopsys RTL2GDS full flow solutions.

What you need

• Extensive experience with RTL to GDSII full flow and advanced node design methodologies.
• Hands-on proficiency with synthesis, physical design, static timing analysis, equivalence checking, parasitic extraction, DRC/LVS, and power analysis.

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What you'll do

As a Software Developer, you will be responsible for developing, implementing, and maintaining combustion and reactive-flow models within a finite volume CFD solver environment. You will also enhance numerical algorithms to improve stability, accuracy, and computational performance, including adaptation for parallel and high performance computing environments.

What you need

• PhD in Mechanical Engineering, Chemical Engineering, Physics, Computational Engineering, or a related technical discipline
• Strong theoretical understanding of combustion, fluid mechanics, thermodynamics, and heat transfer
• Experience with finite volume CFD methods and numerical discretization techniques
• Proficiency in C++ or Fortran for scientific or engineering software development; additional experience with Python is advantageous

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What you'll do

• Designing and integrating memory leafcells and standard cell layouts.
• Optimizing layouts for speed, area, and power.
• Running and debugging DRC, LVS, and ERC checks.
• Collaborating with circuit and verification engineers.

What you need

• 2+ years in custom, standard cell, or memory layout design.
• Experience with FinFET, DRC, LVS, ERC, and boundary conditions.
• Proficiency in Custom Compiler, ICV, and scripting (Perl, Shell, TCL).

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What you'll do

• Developing and implementing SOC design using Synopsys EDA tools and IP, covering all stages from spec to post-silicon bring-up.
• Contributing to both turnkey projects and serving as a trusted advisor to customer design and CAD teams.

What you need

• BS/MS/PhD in Electronics Engineering, Electromechanics, or Telecommunications.
• 4 to 7+ years of hands-on experience in Place & Route domains using Fusion Compiler/ICC2 tool.

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What you'll do

• Providing technical guidance and hands-on support to customers integrating Synopsys Interface IP (PCI Express and High Speed SerDes design) into their ASIC SoC/systems
• Conducting detailed integration reviews at key customer milestones and troubleshooting complex integration challenges throughout the SoC design flow.

What you need

• Masters with 10+yrs of Industry experience or equivalent
• At least 10+ years of experience in IP design, ASIC/SoC integration, or related customer-facing engineering roles (exceptional candidates with strong silicon debug and academic background considered)

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Microsoft are looking for a talented Backend Engineer at their Redmond office. This role sits at the heart of software development, turning code into actionable insights for a company that's revolutionising technology innovation. You'll work directly with leadership to shape the company's direction in the browser and cloud markets.

About the Role

As a Backend Engineer, you will help plan, design, develop and test software components for enhancements to V8 or new allied product components which may be used in Chromium based products. This opportunity will allow you to develop software, tools and code to be used in support of design, infrastructure and technology platforms as well as commercial or end-user applications. You will primarily use C++ along with other technologies to write code, perform testing and debug any issues with robust documentation, procedures for deployment and processes for maintenance.

Accountabilities

• Conduct in-depth market research across browser and cloud sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Learn and contribute to processes for the architecture of a product/solution feature and learn to create proposals by testing design hypotheses and helping to refine code plans under the technical leadership of others as well as help produce code to test hypotheses for technical solutions and assist with technical validation efforts

The Candidate we're looking for

Experience:

• 2+ years technical engineering experience with coding in languages including, but not limited to, C++, C or C#

Technical skills:

• Experience working with data structures like hash tables and binary trees, algorithms, and performance analysis
• Experience with compiler technology, assembly-level programming and/or debugging

Personal attributes:

• Strong problem-solving skills and ability to work in a fast-paced environment
• Excellent communication and collaboration skills

Benefits

• Competitive salary range of $100,600 - $199,000 per year
• Comprehensive benefits package, including medical, dental, and vision insurance
• 401(k) matching program
• Paid time off and holidays
• Opportunities for professional growth and development
• Flexible work arrangements, including remote work options

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What you'll do

• Drive global customer adoption of Synopsys Implementation products by providing expert technical guidance and support throughout the RTL-to-GDS flow.
• Diagnose and resolve synthesis and place-and-route challenges, leveraging in-depth knowledge of customer designs and Synopsys tools.

What you need

• Expertise in implementation methodologies, with deep hands-on experience in Synopsys Fusion Compiler.
• Thorough understanding of RTL-to-GDS flows and methodologies, including synthesis, place & route, and timing analysis.

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What you'll do

• Drive global customer adoption of Synopsys Implementation products by providing expert technical guidance and support throughout the RTL-to-GDS flow.
• Diagnose and resolve synthesis and place-and-route challenges, leveraging in-depth knowledge of customer designs and Synopsys tools.

What you need

• Expertise in implementation methodologies, with deep hands-on experience in Synopsys Fusion Compiler.
• Thorough understanding of RTL-to-GDS flows and methodologies, including synthesis, place & route, and timing analysis.

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What you'll do

• Lead the physical layout design of advanced memory IP (SRAM, ROM, eDRAM, etc.) at cell, array, and peripheral levels
• Ensure compliance with foundry process design rules (DRC/LVS) and memory-specific constraints

What you need

• Bachelor's or Master's degree in Electronics Engineering, Telecommunication, Physics, or related fields
• Minimum of 5 years of experience in layout design

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What you'll do

• Work with the inference team to improve serving latency and throughput
• Bring up support for new models and state-of-the-art inference optimizations or quantization schemes
• Optimize inference across the entire stack, from GPU kernels to serving endpoints

What you need

• Strong engineering track record with proven knowledge of fundamentals and programming languages (multi-threaded programming, networking, compilation, systems programming, etc)
• Pursuing a Master's or PhD in Computer Science with a focus on performance-related subjects (HPC, Compilers, Distributed Systems)

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What you'll do

Develop a complete front-to-back end design implementation methodology (RTL to GDSII) using Synopsys' best in class tools and technologies.

Work with leading edge designs and teams to drive the industry best PPA for IP designs.

Evaluate and exercise various aspects of the development flow which may include design for test logic, synthesis, place & route, timing and power (incl. EM/IR) optimization and analysis.

Develop and maintain best in class digital design methodologies, including documentation, scripts, and training materials.

Work as a liaison between EDAG tool and IP design teams.

Continuously improve and refine design processes to enhance efficiency and performance.

What you need

BS or MS in EE with 10+ years of hands-on experience developing high-speed digital IP cores and/or SOCs.

Knowledge of IP deliverables, ASIC implementation and physical design flow and tools, memories, logic libraries, and PDK versions.

Direct hands-on experience with Fusion Compiler or industry equivalent Synthesis and Place & Route tools.

Ability to facilitate cross-functional collaboration, including fostering innovation, improving communication, and driving results.

Good analysis, debugging, and problem-solving skills.

Solid written and verbal communication skills and the ability to create clear and concise documentation and provide trainings.

Familiarity with other Synopsys tools (Primetime, PrimePower, RLTA, CoreTools) is a plus.

Working knowledge of high-speed interface protocols such as HDMI, MIPI, PCIe, SATA, Ethernet, USB, DP, and DDR is a plus.

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What you'll do

• Work within our internal compilation orchestration system to monitor system status, implement systematic troubleshooting procedures, and perform root cause analysis to prevent recurring issues

What you need

• Excellent C++ skills

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What you'll do

• Build out and maintain the language compiler and tool chain
• Work closely with language consumers to ensure an exceptional user experience

What you need

• Proficiency in C++
• Well-versed in software programming principles, especially API design

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What you'll do

• Develop and maintain the language compiler and toolchain.
• Work closely with language consumers to provide an exceptional user experience.
• Design and maintain the script interface to Unreal Engine.
• Correct bugs and maintain the language code base.

What you need

• Experience in developing language compilers and toolchains.
• Proficiency in C++.
• Advanced knowledge of software design principles, particularly interface programming.
• Experience in developing in large code bases at a rapid pace, and ability to make trade-offs between usability, performance, and power.

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What you'll do

• Work with other engineers across the game team to integrate, develop and debug core technologies and features in a large codebase, merging modern and legacy designs across multiple hardware architectures.
• Manage and optimize memory, load times, and performance.
• Debug a range of defects in development environments.
• Look for ways to increase team efficiency through automation, tooling, or workflow enhancements.
• Contribute to core EA technologies to promote collaborative development efforts.
• Work with technical and non-technical co-workers to create practical technical designs that meet players' expectations.

What you need

• 3+ years of C++ development experience.
• Ability to learn, test, debug, and extend other software engineer's code.
• Knowledge of software engineering and architectural design.
• Understanding of memory management, file systems, multi-core processing, and performance.
• Experience with profiling tools to monitor and diagnose issues.
• Experience with build systems, pipelines, and source control.
• Experience with codebases supporting multiple compilers and architectures.
• Experience communicating and collaborating with external team members or teams.
• Experience integrating and maintaining large-scale systems and legacy codebases, covering multiple disciplines.
• Experience with multiple programming languages (Python, Lua, C#).

Why this matters

As a Systems Software Engineer, you will play a critical role in shaping the future of interactive entertainment and creating the next great EA SPORTS game.

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What you'll do

Working on Functional Verification and Design Implementation.

• Using tools such as Formality, Formality-ECO, Fusion Compiler, or other EDA tools.

• Leveraging your understanding of advanced process nodes.

• Utilizing your scripting skills to automate processes.

What you need

BS with 3-5 years of direct hands-on experience.

• Proficiency in design closure.

• Experience with tools such as Formality, Formality-ECO, Fusion Compiler, or other EDA tools will be added value.

• Knowledge of Python, Perl, and TCL scripting languages.

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What you'll do

Engaging directly with Synopsys customers to understand their design goals, challenges, and requirements, building tailored solutions that maximize their productivity and success.

• Demonstrating the unique advantages and capabilities of Synopsys' industry-leading physical design tools, including Fusion Compiler, PrimeTime, and DSO.ai, through hands-on support and customer enablement activities.

What you need

Bachelor's and/or Master's degree in Electrical Engineering or a related field.

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What you'll do

Chosen to mastermind Ford’s assault on the FIA World Rally Championship, the Cumbrian-based team have secured seven FIA World Rally Championships, 64 victories, 272 podiums and 301 consecutive points finishes to date – making them one of the sport’s most successful outfits.

• Task 1: Masterminding Ford’s assault on the FIA World Rally Championship
• Task 2: Securing seven FIA World Rally Championships, 64 victories, 272 podiums and 301 consecutive points finishes

What you need

• Skill 1: Ability to mastermind Ford’s assault on the FIA World Rally Championship

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What you'll do

Manufacture and assemble wiring harnesses to MIL-Spec and Autosport standards.

Read and interpret electrical drawings, build specifications, and technical documentation.

Perform continuity checks, fault-finding and repairs.

Maintain accurate build records.

Working alongside our Electrical Supervisor and Engineering team on technical issues identified and suggestions for improvement.

What you need

Experienced in crimping, soldering and harness assembly skills using high-specification components.

Strong understanding of electrical schematics and harness layout drawings.

Highly organised, and delivery focused, with a meticulous attention to detail.

Skilled in multitasking and prioritising workloads under pressure.

Excellent communication skills, and a keen eye for problem solving and implementing solutions with an analytical approach.

Ability to work both independently and collaboratively as part of a multi-disciplinary team.

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What you'll do

To compete in the ERC Fiesta Rally3 Trophy, you will be responsible for participating in the European Rally Championship (ERC) and driving a Fiesta Rally3 car.

• Participate in the European Rally Championship (ERC)
• Drive a Fiesta Rally3 car

What you need

To be eligible for the ERC Fiesta Rally3 Trophy, you must first register for the FIA ERC3 Championship and then enter the series through M-Sport Poland.

• Register for the FIA ERC3 Championship
• Enter the series through M-Sport Poland

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What you'll do

My day to day as an Electrical Harness Technician involves stripping and rebuilding Rally1 starter motors for each event, building and repairing wiring harnesses and sensors for all projects, these being Rally1, Rally2, Dakar, GT3 and GT4, as well as doing jobs on customer looms.

What you need

When working as an Electrical Harness Technician skills such as soldering are very useful to have as some wiring looms involve this procedure. Skills like having an understanding of third angle projection drawings, attention to detail throughout work, crimping, splicing and using heat shrink materials are all important skills to have.

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