Hardware Software Codesign Engineer Jobs

About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Software Engineer to build the research infrastructure and tooling that help OpenAI models design silicon. You’ll turn chip-design workflows into reliable environments for reinforcement learning and evaluation, and make it easier for researchers to run experiments and iterate on new ideas. You’ll move between software engineering, tool integration, and open research problems. We value strong coding fundamentals, clear technical judgment, and independent execution. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build and maintain infrastructure for reinforcement learning environments, evaluations, and long-running experiments. Integrate electronic design automation (EDA) tools into workflows for RTL generation, verification, and physical design optimization. Improve experiment reliability, reproducibility, observability, and performance; debug failures across tools, services, and infrastructure. Develop tooling and model harnesses that let researchers test ideas quickly and measure correctness and power, performance, and area (PPA). Collaborate with researchers and engineers to turn successful experiments into reusable systems and training workflows. Own ambiguous projects end to end, communicate progress, and use results to guide the next iteration. You might thrive in this role if you: Have strong software engineering fundamentals, with

We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and RDMA network cards. Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works. We thrive as a team in a deeply strong environment, and we're passionate about innovation. The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play. What you'll be doing: Developing a highly optimized inference framework Running on the world’s largest supercomputers and data centers. The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features. What we need to see: B.Sc. or equivalent experience in Computer Science or Software Engineering 6+ years of experience in modern C++ / C / Rust development 3 years of experience in Linux environment and familiarity with development tools Deep knowledge of the TCP/IP network stack Understanding of computer architecture and operating systems concepts Ways to stand out from the crowd: Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning) Experience in programming CUDA kernels is an advantage Familiarity with ML frameworks and LLMs Background in parallel programming / high-performance computing / RDMA t

About the Role Together AI runs one of the largest GPU fleets in the world. The Infra Agent Systems team builds the software systems that power and automate that infrastructure. We develop production AI agents that diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, we build the platform they run on, including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. You’ll work across two areas: Infrastructure Agent Systems — Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents are used every day by our infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack. Core Agent Platform — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve. We’re working on something that hasn’t really been done before: building knowledge graphs and self-improving AI agents that understand, operate, and continuously improve large-scale AI infrastructure. This is an opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation , solving challenging engineering problems with real production impact. There’s an enormous amount to build, learn, and shape as we define the future of autonomous infrastructure. responsible for delivering the software but also for operating and supporting it in production. Why this Role You’ll work on two hard problems at the same time: making AI agents trustworthy enough to operate production infrastructure, and building the knowledge, retrieval, and distributed systems that make those agents effective. You’ll have the opportunity to build foundational systems from the ground up, work on infrastructur

About Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. Responsibilities and Duties Develop, own, and maintain tools and services to support the software build and release process Deploy and maintain services with Kub

About Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learn ing S oftware S tack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments. Responsibilities and Duties Developing our internal t

We're looking for someone to join the Datadog Procurement team and help expand the Strategic Sourcing group. Make an impact by being a trusted subject matter expert in several buying categories and continuing to prove the value that Strategic Sourcing brings to the organization. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead strategic sourcing for enterprise SaaS and IT categories - owning net-new purchases and complex, high-spend renewals through a documented, collaborative evaluation process, with action plans built well ahead of renewal dates. Own software license and subscription strategy, right-sizing entitlements, minimizing shelfware, and replacing last-minute buying with forward-looking renewal and demand planning. Lead the IT hardware procurement team responsible for purchasing, sourcing, and replenishment (laptops, peripherals, networking, office AV), balancing demand with headcount and multi-region growth while leveraging OEM/distributor relationships and buying scale. Lead the transformation of IT Procurement (hardware and SaaS licenses) from transactional to strategic - standardizing processes, introducing supplier-management discipline, and establishing operational metrics and KPIs. Develop strong, trusted relationships with stakeholders and collaborate on strategizing the purchase plan, negotiating pricing and other business terms with vendors on net-new purchases and complex, high-spend renewals, partnering cross-functionally with Procurement Operations, Legal, Security, IT, and Office Operations to ensure compliant, scalable execution. Create pricing models based on vendor proposals to quantify various buying scenarios related to our future growth and current demand Manage and develop a direct report, with

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 an AI Accelerator Systems Software Technical Program manager at OpenAI, you will help bring our chips/system 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 end-to-end software development from design to implementation for our AI acceleration systems, working across technical, cross-functional and external stakeholders Lead planning and scheduling of AI system software designs with our strategic partners and vendors Coordinate and lead internal resources and communication for efficient interaction with partners and vendors. You might thrive in this role if you: Have experience as a software technical program manager for data center system products (server, GPU, TPU, networking, storage and so on) taking products from concept to volume in a data center environment ensuring the systems scale with high quality Know end-to-end software development program management techniques from concept, design, production, deployment into the data center 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-clas

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE You will be the pivotal, end-to-end owner driving the product lifecycle for our cutting-edge data center storage solutions. Your mission is to translate product vision into Mass Production (MP) reality, managing all aspects of the hardware (Mechanical and Electrical Engineering) and the full software stack (firmware, OS). This highly visible role requires you to orchestrate global, cross-functional engineering, manufacturing, and supply chain teams while leading executive-level phase gate reviews to ensure our products deliver optimal performance and compliance, on time and on budget. WHAT YOU'LL DO End-to-End Release Ownership: Own the overall release plan, including scope, milestones, and dependencies. You’ll be the primary point of contact for release lines across Product, Engineering, QA, and Security. Strategic Program Leadership: Manage multiple concurrent workstreams involving cross-functional stakeholders. You will own the "big picture," ensuring that high-level technical architecture aligns with execution. Release Integrity: Own release branch health metrics. You’ll lead bug scrubs, triage critical issues, and define the criteria for merging new payloads (leveraging your experience with Git-based workflows). Operational Excellence: Drive the Product Lifecycle (PLC) phase exit reviews (Phases 0–3). You will define exit criteria, ensure they are met, and formally drive approvals. Risk & Conflict Resolut

Associate Software Engineer Company: The Boeing Company The Boeing Company has an exciting opportunity for an Associate Software Engineer to support the ADaPS organization in Huntsville, AL. ADaPS (an organization of over 100 software engineers) supports programs across the entire portfolio of Boeing products including Space Launch Systems (SLS), Satellite Efforts, and Advanced Missile Defense efforts including Patriot Advanced Capability (PAC3) and Integrated Fires Protection Capability 2nd Interceptor (IFPC – 2). ADaPS specializes in implementing rapid prototyping and development programs using small, adaptable agile teams. Position Responsibilities: Assists with the development and fielding of flight software for seeker systems Assists with the design and development of test software for seeker software Assists with the development and integration of Weapons Open System Architecture Framework Domains into missile and weapons systems Assists with the development firmware and its integration with hardware/software Works in small agile teams composed of diverse engineering skills Use your talents to tackle complex problems on a variety of programs Develops technical products, plans, documentation, and briefings in support of program requirements Assists with review, analysis and translation of customer requirements into initial design of software products Supports development, documentation and maintenance of architectures, requirements, algorithms, interfaces and designs for software products Security Clearance: This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies. Our AI Engineering Campus in Austin plays an important role in building the hardware platforms that support the next generation of AI systems. The Opportunity As a Systems Engineering Intern, you will contribute to projects that combine hardware, firmware, and software engineering for advanced AI compute platforms. You will work with experienced engineers on subsystem design, laboratory testing, system validation, automation, and performance analysis. The internship provides hands-on experience with modern hardware development and system-level engineering. You will own clearly defined technical tasks with guidance from the team and document your methods, results, and conclusions. What You Will Do Support the design and testing of CPU and high-speed input and output subsystems for advanced compute platforms. Run laboratory tests and measurements to help evaluate performance, power, signal behavior, and reliability. Contribute to system-level validation by creating scripts and tools that streamline testing, data collection, and analysis. Explore emerging input and output technologies, including PCIe 6.0 and 800G Ethernet, and learn how they support advanced computing workloads. Assist with investigations into platform power, cooling, and energy efficiency, including liquid-cooling systems for high-performance processors. Use power meters, oscilloscopes, logic analyzers, or comparable lab equipment under appropriate supervision. Analyze test results, identify unexpected behavior, and work with engineers to reproduce and investigate issues. Collaborate across hardware, firmware, software, m

About the Role Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the [Together GPU Clusters](https://www.together.ai/gpu-clusters) flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products. As a Staff Software Engineer focusing on AI Compute in the Together Cloud org, you will set technical direction for and build major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware: GB300s/VRs, BlueField DPUs, InfiniBand and dual/quad-plane RoCEv2 fabrics. That virtualized computing platform powers our own SaaS products – inference, RL, and fine-tuning – and serves external cloud customers through self-serve offerings such as on-demand/reserved Kubernetes/Slurm clusters, across dozens of data centers and hundreds of thousands of GPUs. This is an architect-and-build role. Fully automated bootstrapping of GPU data centers, high-performance virtualization of GPU compute and DC networking without compromising isolation or portability, and fault-tolerant decentralized control planes — you'll set the architecture for these across our global and in-DC services, and be a key owner of the hardest parts, in the code as well as the design. Your designs will span the IaaS layer of a greenfield Vera Rubin data center up to the global management plane that schedules capacity across all of them. At this level the job is as much leverage as code: the standards you set and the engineers you grow decide how fast the rest of Together Cloud ships. Responsibilities Own the GPU and network virtualization stack: the hypervisor, kernel, and SDN work that keeps

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities (What he/she will do after join UI): - 5~8 years’ work experience as a Key EE designer for Mobile, Tablet or AP products. - Mainly focus for system schematic review and mechanical stacking review with mechanical engineers and PCB layout review with layout engineers. - Work with RF engineers to figure out performance issues of radios and work with SI and DQA engineers to qualify features and make sure product quality is ready to move further. - Review design derating and suggest design update due to DFM (design for manufacturing), DFA(design for assembly) and DFC (Design For Cost). - Schematic and BOM maintenance and review. - Write test plans for testing coverage, execute tests, and document test results for projects. - Report projects’ status and issue tracking to internal. - Teardown and review new products in the market. Minimum Qualifications (MUST-haves) : - Have the MP experience with Mobile, Tablet or AP products. - Familiarity with high-speed signal design. - Proficiency on using OrCad Capture CIS, Power PCB viewer and Allegro viewer - Knowledge of electronic components (Ex. R/L/C/Diode/MOS/BJT/Logic ICs/Sensors) - Strong knowledge of ESD, EMI and Surge. - Debug skills with the basic operation with oscilloscopes, Logical Analyzers. - Strong knowledge to support the thermal solution. Preferred Quali

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. The Role As part of the Core Products Business Unit (CPBU) Systems Software team, you will join a high-leverage engineering initiative dedicated to transforming upgrade workflows and lifecycle operations. Our goal is to shift hardware upgrades from manual, support-intensive workflows toward a safer, guided, automated self-service experience integrated directly into Pure1 and Skyline. In this role as a Systems Software Engineer (MTS3), located on-site in Santa Clara, CA, you will build dedicated systems infrastructure and controller-upgrade automation for our next-generation upgrade framework. You will bridge on-array software execution with cloud-guided operations, eliminating manual choreography and runbooks while maintaining uncompromising standards for safety and availability. What You'll Do Design & Build Upgrade Infrastructure: Architect, implement, and maintain high-reliability systems software components for controller-upgrade automation and the next-generation hardware upgrade framework. Automate Upgrade Workflows: Transition complex hardware replacement and upgrade tasks into repeatable, self-service workflows, significantly reducing support and field dependencies. Engineered Safety & Resilience: Build robust state machines, health checks, workflow orchestration, pre/post-upgrade validations, failure-handling mechanisms, and automated recovery paths. Cross-Functional Collaboration: Partner closely with int

Salary Range: PLN 350,000 - 474,000 PLN Subject to alignment to the responsibilities and duties of the role About the job Help system software engineers do their best work while keeping delivery clear, focused and moving. As System Software Engineering Manager, you will support engineers in Graphcore’s Gdańsk office. You will manage career development, coach individuals and help the team work with clarity. You will also act as Scrum Master for the Drivers and Utilities team. You will facilitate planning, remove blockers and help engineers turn priorities into achievable delivery plans. This is a management and facilitation role, not a hands-on development position. Your low-level software background will help you understand the work, ask better questions and support the team effectively. The role sits close to system software, silicon and hardware development. That gives you real scope to connect people, improve collaboration and shape how delivery happens. The team and culture The Drivers and Utilities team builds custom host control software in Linux kernel and user space. Their work includes low-level C and C++ libraries and tools that help customers get more from Graphcore products. Work spans teams, disciplines and locations. You will help engineers in Gdańsk stay connected, supported and heard within the wider System Software group. Decisions are shaped through shared context, clear priorities and practical planning. You will work with the Product Owner, technical leads and Senior Engineering Manager to keep progress visible. What we’re looking for · Experience managing and developing software engineers through coaching, feedback and career conversations. · Practical experience as a Scrum Master or in a similar team facilitation role. · Ability to help teams plan realistically, remove obstacles and improve without adding unnecessary process. · Experience working alongside Product Owners and technical leads, with clear role boundaries. · Strong communicati

Senior Software Engineer - Vehicle Health Management Company: The Boeing Company The Boeing Company is looking for Senior Software Engineer – Vehicle Health Management to join our Government Vehicle Health Management Systems (GHVMS) software team in Hazelwood, MO . This position in the Boeing Global Services (BGS) organization will primarily support Boeing Defense, Space & Security (BDS) Air Dominance programs. The Senior Project Engineer will lead the full lifecycle of embedded software development integrated within specialized devices and systems, ensuring compliance with industry, customer, safety, and regulatory standards. This role directs the translation of complex customer requirements into effective software designs, overseeing code reviews, system integration, and improving software efficiency and stability on specialized hardware. Serving as a technical authority, the engineer guides testing, debugging, and the adoption of emerging technologies, tools, and regulatory changes to advance product performance. Additionally, the position leads the evaluation and coordination of internal and supplier teams, ensuring adherence to project plans and quality standards while providing strategic oversight of embedded software project management activities. In GVHMS, we develop software that enables maintainers to keep military aircraft mission-ready and safe. As a software engineer on our team, you will create solutions that monitor and predict the health of aircraft throughout their lifecycle. Your solutions will be used to enable smarter maintenance decisions, automate processes, and reduce costs. You will also have the opportunity to develop with emerging technologies, such as AI, to advance our software capabilities and drive the future of predictive