Solution Engineering in United States

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a Technical Lead to lead deployment and operations for OpenAI’s Silicon & Systems team. This person will become the Directly-Responsible Individual responsible for bringing OpenAI’s custom silicon and associated systems into data center environments, ensuring successful deployment, bring-up, validation, operational readiness, and ongoing reliability at scale. This role sits at the intersection of silicon, systems, infrastructure, data center operations, and software. You will lead a team focused on taking new hardware platforms from lab validation into production data center deployment. You will be responsible for building the operational processes, technical workflows, tooling, and cross-functional alignment required to deploy and operate custom AI hardware reliably in OpenAI’s supercomputing infrastructure. The ideal candidate is both a strong leader and a deeply technical operator. You should be comfortable staying close to the technical details of hardware bring-up, fleet deployment, debugging, system validation, data center integration, and production operations. This role requires strong execution, excellent cross-functional judgment, and the ability to drive clarity in ambiguous, fast-moving environments. In this role, you will: Lead a team responsible for deployment and operations of OpenAI’s custom silicon and systems in data center environments Own the path from hardware bring-up and validation through production deployment, operati

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role On the Accelerators team, you will help OpenAI evaluate and bring up new compute platforms that can support large-scale AI training and inference. Your work will range from prototyping system software on new accelerators to enabling performance optimizations across our AI workloads. You’ll work across the stack, collaborating with both hardware and software aspects - working on kernels, sharding strategies, scaling across distributed systems, and performance modeling. You'll help adapt OpenAI's software stack to non-traditional hardware and drive efficiency improvements in core AI workloads. This is not a compiler-focused role, rather bridging ML algorithms with system performance - especially at scale. In this role, you will: Prototype and enable OpenAI's AI software stack on new, exploratory accelerator platforms. Optimize large-scale model performance (LLMs, recommender systems, distributed AI workloads) for diverse hardware environments. Develop kernels, sharding mechanisms, and system scaling strategies tailored to emerging accelerators. Collaborate on optimizations at the model code level (e.g. PyTorch) and below to enhance performance on non-traditional hardware. Perform system-level performance modeling, debug bottlenecks, and drive end-to-end optimization. Work with hardware teams and vendors to evaluate alternatives to existing platforms and adapt the software stack to their architectures. Contribute to runtime improvements, compute/communication over

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. 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 b

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role As a Hardware Chips Programs Manager at OpenAI, you will help bring our chips hardware roadmap to life, navigating an array of technical and partnership challenges. We’re looking for people excited to push the frontiers of computing by navigating technical explorations and are passionate about building. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Manage the design and implementation planning of our ML acceleration hardware, working across technical, cross-functional and external stakeholders Lead planning and scheduling of chip hardware designs with our strategic partners and vendors Coordinate and marshal internal resources and communication for efficient interaction with partners and vendors. You might thrive in this role if you: Have experience as a technical program manager for data center hardware products (server, GPU, TPU, networking, storage and so on) Know the whole end-to-end system program management from concept, design, production, deployment into the data center Have some experience with System SW programs through NPI Want to help design some of the world’s largest supercomputing systems, working at the edge of complex hardware challenges Enjoy working with and enabling world-class AI Researchers and Engineers Are passionate about the technical program function, and enjoy independently owning and delivering on your tea

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role OpenAI's Hardware organization builds supercompute platforms from silicon and boards to full rack-scale systems to power advanced AI workloads. This role owns end-to-end quality for high-speed interconnect hardware across the product lifecycle: early design influence, supplier/contract manufacturer readiness, qualification, ramp, and fleet quality in lab and data center environments. You will be the quality lead for advanced interconnect components and assemblies, including high-speed copper cables, cable cartridges, patch panels, backplane/cable-backplane solutions, high-speed connectors, and related electro-mechanical interfaces. You will partner closely with electrical, mechanical, SI/PI, systems, reliability, operations, and external vendors to prevent escapes and drive rapid, data-driven containment and corrective action. In this role you will: Own quality for advanced interconnect components and assemblies: high-speed connectors, high-speed copper cables, cable cartridges (e.g., cable cassette style assemblies), patch panels & optics, and backplane/cable-backplane interconnect solutions. Drive quality-by-design: participate in design reviews, DFM/DFx, tolerance stacks, material and plating selections, connector mating strategy, strain relief, and assembly methods to reduce variation and field failures. Define and track quality and reliability metrics (DPPM, yield, escapes, RMA/FRACAS trends, Cpk/Ppk where applicable) for interconnects across NPI and m

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! This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Key Responsibilities 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 h

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are looking for an embedded engineer to help build firmware and associated modeling software for OpenAI’s in house AI accelerator. This role involves designing and developing drivers and functional models for a large array of HW components, writing high throughput and low latency firmware code, investigating bring-up and production issues. Responsibilities Design and implement drivers for hardware peripherals, including those related to AI chips. Design and implement functional software models to simulate SoC uncore logic and enable FW testing against the model Design and implement low-latency and high throughput embedded SW to manage HW resources. Work with adjacent software and hardware teams to implement requirements, debug issues and shape future generations of the hardware. Collaborate with vendors to integrate their technologies within our systems. Bring up and debug firmware/driver on new platforms. Come up with processes and debug issues raised in the field. Set up monitoring, integration testing and diagnostics tools. Qualifications 5+ years of experience working in embedded SW space. Ability to thrive in ambiguity and learn new technologies. Strong programming skills in C/C++ and/or Rust. Experience developing high throughput, low latency and multi-threaded code. Experience working with real time operating systems (RTOS). Experience developing hardware drivers and working with hardware Experience with HW/SW co-design Knowledge of common embedded pr

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for signal integrity (SI) system design engineers who have a deep expertise in the SI area, and hold strong system level design knowledge This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead system signal integrity (SI) design for AI supercomputer product in the data center application. Collaborate with chip, package, boards, rack and system engineers, design partners to drive system SI design and develop innovative interconnect and high-speed technologies Identify and evaluate new technologies and methodologies to improve signal and power integrity in product design, and contribute to the development of new products and technology by providing expertise in signal integrity Perform simulation and modeling to identify and troubleshoot signal integrity issues Lead system interconnect design, bring up and qualification 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 at least 10 years of industry experience, including experience design hardware system and SerDes testing for data center applications Have a strong bias toward action, and won’t take no for an answer. Have experience and good knowledge of system design experience in the SI areas, from chip, SerDes, board, rack level Have ex

About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role OpenAI is developing custom silicon to power the next generation of frontier AI models. We’re looking for experienced Design Verification (DV) Engineers to ensure functional correctness and robust design for our cutting-edge ML accelerators. You will play a key role in verifying complex hardware systems—ranging from individual IP blocks to subsystems and full SoC—working closely with architecture, RTL, software, and systems teams to deliver reliable silicon at scale. In this role you will: Own the verification of one or more of: custom IP blocks, subsystems (compute, interconnect, memory, etc.), or full-chip SoC-level functionality. Define verification plans based on architecture and microarchitecture specs. Develop constrained-random, directed, and system-level testbenches using SystemVerilog/UVM or equivalent methodologies. Build and maintain stimulus generators, checkers, monitors, and scoreboards to ensure high coverage and correctness. Drive bug triage, root cause analysis, and work closely with design teams on resolution. Contribute to regression infrastructure, coverage analysis, and closure for both block- and top-level environments. You might thrive in this role if you have: BS/MS in EE/CE/CS or equivalent with 3+ years of experience in hardware verification. Proven success verifying complex IP or SoC designs in industry-standard flows Proficient in SystemVerilog, UVM, and common simulation and debug tools (e.g., VCS, Questa, Verdi). Strong knowledge

Leidos is seeking an experienced Program Analyst to support large information technology programs for our Utility Technologies Solutions team. In this role, you will provide program and project management support across a portfolio of IT projects supporting electric utility operations, technology modernization, and evolving grid initiatives for our utility client. You will help ensure projects remain organized, on track, and aligned with established governance and delivery standards while adhering to Leidos' Mission, Vision, and Values. The Program Analyst will support a Senior Program Manager/Portfolio Manager across a portfolio of utility IT projects, with a focus on project governance, document control, portfolio planning, reporting, and operational coordination. This role will work closely with Project Managers, IT Managers, Project Controllers, Schedulers, EPMO, and other business and technical stakeholders to help ensure projects meet established requirements and remain on track throughout the project lifecycle. The role will support stage-gate activities, maintain project and program documentation, coordinate portfolio information, assist with long-range planning, and help improve program processes and controls. The ideal candidate is highly organized, detail-oriented, proactive, and comfortable working across multiple projects and stakeholders in a fast-paced environment. Location: This position is based in South Plainfield, New Jersey, and requires onsite work three days per week, Tuesday through Thursday. Qualified candidates must reside within a reasonable commuting distance and be able to work onsite on these days. Salary: This position pays a salary in the range of $90,000 to $110,000 annually. Responsibilities: Provide day-to-day program man

Specialist - Workstation Description - The Advanced Compute Solutions (ACS) Sales Specialist plays a vital role in helping new and existing customers discover and benefit from ACS. You will use your sales expertise and industry knowledge to build strong relationships, identify opportunities, and support customers throughout their journey. This position focuses on expanding our customer base, advancing the ACS sales pipeline, fostering long-term customer relationships, and supporting account managers in delivering outstanding results. ACS is a key division within HP focused on driving innovation for the future of work. Its mission is to deliver high-performance computing, enabling customers to tackle complex workloads and emerging technologies efficiently. Key Responsibilities Drive growth by acquiring new customers and expanding adoption of ACS products. Identify and pursue new ACS opportunities, while also expanding relationships with existing clients. Manage the sales process end-to-end, including building a strong pipeline, guiding product selection, pricing, and closing deals. Develop business use cases and provide expert support to sales teams. Achieve sales targets and contribute to higher customer quotations, diverse business, and increased contract-value renewals. Collaborate with customers, internal teams, and industry specialists. Stay ahead of the market by understanding ACS offerings and competitor strategies to position HP’s solutions effectively. Build trusted, consultative relationships with clients, including senior executives, by understanding their industry-specific needs and challenges. Education & Experience Recommended: Bachelor’s degree is preferred but not required. </l

Specialist - Workstation Description - The Advanced Compute Solutions (ACS) Sales Specialist plays a vital role in helping new and existing customers discover and benefit from ACS. You will use your sales expertise and industry knowledge to build strong relationships, identify opportunities, and support customers throughout their journey. This position focuses on expanding our customer base, advancing the ACS sales pipeline, fostering long-term customer relationships, and supporting account managers in delivering outstanding results. ACS is a key division within HP focused on driving innovation for the future of work . Its mission is to deliver high-performance computing , enabling customers to tackle complex workloads and emerging technologies efficiently. Key Responsibilities Drive growth by acquiring new customers and expanding adoption of ACS products. Identify and pursue new ACS opportunities, while also expanding relationships with existing clients. Manage the sales process end-to-end, including building a strong pipeline, guiding product selection, pricing, and closing deals. Develop business use cases and provide expert support to sales teams. Achieve sales targets and contribute to higher customer quotations, diverse business, and increased contract-value renewals. Collaborate with customers, internal teams, and industry specialists. Stay ahead of the market by understanding ACS offerings and competitor strategies to position HP’s solutions effectively. Build trusted, consultative relationships with clients, including senior executives, by understanding their industry-specific needs and challenges. Education & Experience Recommended: Bachelor’s degree is preferred but not

Specialist - Workstation Description - The Advanced Compute Solutions (ACS) Sales Specialist plays a vital role in helping new and existing customers discover and benefit from ACS. You will use your sales expertise and industry knowledge to build strong relationships, identify opportunities, and support customers throughout their journey. This position focuses on expanding our customer base, advancing the ACS sales pipeline, fostering long-term customer relationships, and supporting account managers in delivering outstanding results. ACS is a key division within HP focused on driving innovation for the future of work . Its mission is to deliver high-performance computing , enabling customers to tackle complex workloads and emerging technologies efficiently. Key Responsibilities Drive growth by acquiring new customers and expanding adoption of ACS products. Identify and pursue new ACS opportunities, while also expanding relationships with existing clients. Manage the sales process end-to-end, including building a strong pipeline, guiding product selection, pricing, and closing deals. Develop business use cases and provide expert support to sales teams. Achieve sales targets and contribute to higher customer quotations, diverse business, and increased contract-value renewals. Collaborate with customers, internal teams, and industry specialists. Stay ahead of the market by understanding ACS offerings and competitor strategies to position HP’s solutions effectively. Build trusted, consultative relationships with clients, including senior executives, by understanding their industry-specific needs and challenges. Education & Experience Recommended: Bachelor’s degree is preferred but not

Specialist - Workstation Description - The Advanced Compute Solutions (ACS) Sales Specialist plays a vital role in helping new and existing customers discover and benefit from ACS. You will use your sales expertise and industry knowledge to build strong relationships, identify opportunities, and support customers throughout their journey. This position focuses on expanding our customer base, advancing the ACS sales pipeline, fostering long-term customer relationships, and supporting account managers in delivering outstanding results. ACS is a key division within HP focused on driving innovation for the future of work . Its mission is to deliver high-performance computing , enabling customers to tackle complex workloads and emerging technologies efficiently. Key Responsibilities Drive growth by acquiring new customers and expanding adoption of ACS products. Identify and pursue new ACS opportunities, while also expanding relationships with existing clients. Manage the sales process end-to-end, including building a strong pipeline, guiding product selection, pricing, and closing deals. Develop business use cases and provide expert support to sales teams. Achieve sales targets and contribute to higher customer quotations, diverse business, and increased contract-value renewals. Collaborate with customers, internal teams, and industry specialists. Stay ahead of the market by understanding ACS offerings and competitor strategies to position HP’s solutions effectively. Build trusted, consultative relationships with clients, including senior executives, by understanding their industry-specific needs and challenges. Education & Experience Recommended: Bachelor’s degree is preferred but not

Specialist - Workstation Description - The Advanced Compute Solutions (ACS) Sales Specialist plays a vital role in helping new and existing customers discover and benefit from ACS. You will use your sales expertise and industry knowledge to build strong relationships, identify opportunities, and support customers throughout their journey. This position focuses on expanding our customer base, advancing the ACS sales pipeline, fostering long-term customer relationships, and supporting account managers in delivering outstanding results. ACS is a key division within HP focused on driving innovation for the future of work . Its mission is to deliver high-performance computing , enabling customers to tackle complex workloads and emerging technologies efficiently. Key Responsibilities Drive growth by acquiring new customers and expanding adoption of ACS products. Identify and pursue new ACS opportunities, while also expanding relationships with existing clients. Manage the sales process end-to-end, including building a strong pipeline, guiding product selection, pricing, and closing deals. Develop business use cases and provide expert support to sales teams. Achieve sales targets and contribute to higher customer quotations, diverse business, and increased contract-value renewals. Collaborate with customers, internal teams, and industry specialists. Stay ahead of the market by understanding ACS offerings and competitor strategies to position HP’s solutions effectively. Build trusted, consultative relationships with clients, including senior executives, by understanding their industry-specific needs and challenges. Education & Experience Recommended: Bachelor’s degree is preferred but not