As a Technical Program Manager for Inference, you'll be the critical bridge between our inference systems and the broader organisation. You'll drive strategic initiatives across inference runtime and accelerator performance,coordinating model launches, managing cross-platform dependencies, and ensuring reliability across multiple hardware targets.
\nThis role is essential for keeping our most contended infrastructure teams shipping effectively while Research, Product, and Safety all depend on their output.
\nResponsibilities:
\nYou may be a good fit if you:
\nDeadline to apply: None, applications will be received on a rolling basis.
\nThe annual compensation range for this role is $290,000-$365,000 USD.
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\nThey 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.
\nYou 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.
\nDesigning, developing, troubleshooting, and debugging sophisticated software programs and tools. \nBuilding and enhancing software solutions including operating systems, compilers, routers, networking utilities, databases, and internet-related applications. \nDetermining hardware compatibility and influencing hardware design to optimise software performance. \nCreating robust algorithms and data structures to solve complex engineering problems. \nCollaborating with cross-functional teams to execute projects from conception to completion. \nGuiding and mentoring junior team members, sharing expertise and fostering a collaborative learning environment. \nAnalysing, diagnosing, and resolving technical issues with creative and effective solutions.
\nDriving innovation in chip design and verification through advanced software development. \nEnhancing the performance, efficiency, and reliability of Synopsys tools and solutions. \nContributing to the successful delivery of high-performance silicon chips for global customers. \nEmpowering teams with technical leadership, knowledge sharing, and mentorship. \nInfluencing hardware and software integration for optimal system outcomes. \nHelping Synopsys maintain its leadership in the semiconductor and software industry through continuous improvement and creative problem-solving.
\nMinimum of 5 years’ experience in software development, preferably in high-tech or semiconductor domains. \nExpertise in C/C++ programming and a strong foundation in data structures and algorithms. \nHands-on experience with operating systems, compilers, networks, and internet-related tools. \nPrior knowledge and experience in Hierarchical DFT, 1687, Pattern Porting, and CAD tool development. \nAbility to resolve complex technical issues independently and creatively. \nFamiliarity with hardware-software integration and performance optimisation.
\nAnalytical thinker with exceptional problem-solving skills. \nEffective communicator and collaborative team player. \nProactive learner with a growth mindset and adaptability to new technologies. \nMentor and guide for junior engineers, fostering inclusion and knowledge sharing. \nIndependent decision-maker who thrives in dynamic, fast-paced environments.
\nYou’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.
\nWe 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.
\nAt 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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\nSynopsys 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.
\nJob Description
\nCategory
\nEngineering
\nHire Type
\nEmployee
\nJob ID
\n15368
\nRemote Eligible
\nNo
\nDate Posted
\n02/22/2026
\nWe Are:
\nAt 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.
\nYou Are:
\nYou 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.
\nWhat You’ll Be Doing:
\nThe Impact You Will Have:
\nWhat You’ll Need:
\nWho You Are:
\nThe Team You’ll Be A Part Of:
\nYou’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.
\nRewards and Benefits:
\nWe 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.
\nAt 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.
\nBenefits
\nAt 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.
\nVisit Benefits Page
\nComprehensive medical and healthcare plans that work for you and your family.
\nIn addition to company holidays, we have ETO and FTO Programs.
\nMaternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.
\nPurchase Synopsys common stock at a 15% discount, with a 24 month look-back.
\nSave for your future with our retirement plans that vary by region and country.
\nCompetitive salaries.
\n\\\\ Benefits vary by country and region - check with your recruiter to confirm
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\nMicrosoft Superintelligence Team
\nMicrosoft 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.
\nThis 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!
\nResponsibilities
\nLead 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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\nMicrosoft Superintelligence Team\nMicrosoft 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.
\nThis 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.
\nResponsibilities\nLead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks.
\nDrive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements.
\nCo-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems.
\nDevelop 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.
\nPartner 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.
\nInfluence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs.
\nLead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams.
\nMentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.
\nQualifications\nBachelor’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.
\nAdditional or Preferred Qualifications\nMaster’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.
\nStrong 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.
\nProven 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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\nResponsibilities:
\nYou may be a good fit if you:
\nLogistics
\nHow we're different
\nWe believe that the
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\nPioneering 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.
\nWorking 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.
\nStrong 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.
\nYou might be a good fit if you:
\nStrong candidates may also have experience with:
\nRepresentative projects:
\nDeadline to apply: None. Applications will be reviewed on a rolling basis.
\nThe expected salary range for this position is:
\nAnnual Salary: $280,000 - $850,000USD
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\nLocation
\nSan Francisco
\nEmployment Type
\nFull time
\nLocation Type
\nHybrid
\nDepartment
\nScaling
\nCompensation
\nThe 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.
\nBenefits
\nAbout the Team
\nOpenAI’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.
\nAbout the Role
\nAs 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!
\nIn this role, you will:
\nYou might thrive in this role if you have:
\nThese attributes are nice to have:
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\nLocation
\nSan Francisco
\nEmployment Type
\nIntern
\nLocation Type
\nOn-site
\nDepartment
\nApplied AI
\nDeadline to Apply
\nMarch 11, 2026 at 3:00 AM EDT
\nCompensation
\nAbout the Team
\nThe 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.
\nAbout the Role
\nA 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.
\nOpenAI 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.
\nIn this role, you will typically focus on improving real systems in areas like:
\nMost projects involve some of these steps:
\nYour background looks something like:
\nAbout OpenAI
\nOpenAI 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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