Senior Simulation Software Engineer - AD/ADAS Woven Planet HoldingsSenior Simulation Software Engineer - AD/ADASPalo Alto, CA$140,000–$230,000 / yearTo continuously improve and thoroughly test our driving systems, we build powerful developer workflows that leverage real-world data and state of the art in-house and third party simulation technologies. They will design and integrate simulation software with portability, modularity, and reusability in mind in order to meet the diverse needs of vehicular technology development and testing across Toyota programs.
NewStaff Software Engineer, AI/ML Infrastructure, TPU Supercomputers Google LLCStaff Software Engineer, AI/ML Infrastructure, TPU SupercomputersSunnyvale, CAFrom software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. We"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
AI Training Infrastructure Engineer – Humanoid Whole Body Control FigureAI Training Infrastructure Engineer – Humanoid Whole Body ControlSan Jose, California$150,000–$300,000 / yearThis role sits at the intersection of robotics, machine learning, controls, and software systems engineering, and is critical to how quickly we can iterate, train, and deploy new capability to our fleet of humanoid robots. Experience building or scaling training infrastructure for robotics, control systems, or large-scale ML workloads.
AI Training Infrastructure Engineer - Humanoid Whole Body Control FigureAI Training Infrastructure Engineer - Humanoid Whole Body ControlSan Jose, CA$150,000–$300,000 / yearThis role sits at the intersection of robotics, machine learning, controls, and software systems engineering, and is critical to how quickly we can iterate, train, and deploy new capability to our fleet of humanoid robots. Experience building or scaling training infrastructure for robotics, control systems, or large-scale ML workloads.
Software Dev Engineer, Machine Learning Compilers Amazon.com IncSoftware Dev Engineer, Machine Learning CompilersSunnyvale, CAEngineers here bring deep experience across compilers and program analysis, optimization algorithms, computer architecture, machine learning systems, and the practical craft of getting large software to run reliably under tight constraints. Amazon Devices is an inventive research and development company that designs and engineers high-profile consumer products like the Kindle family, Fire Tablets, Fire TV, Health & Wellness devices, Amazon Echo, and Astro.
ASIC Design Engineer NVIDIA CorpASIC Design EngineerSanta Clara, CAWhat you'll be doing: Drafting microarchitecture documents and implementing high-performance, and area and power-efficient RTL to meet strictly defined development targets and specifications. Collaborating closely with architects, other designers, and pre and post silicon verification teams to deliver world-class RTL builds.
EDA Workflow Optimization Engineer NvidiaEDA Workflow Optimization EngineerSanta Clara, CAYou will understand workflows covering the full chip design process from inception through study, architecture, design, verification, emulation, layout, packaging, power-on and production. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Asic Design Engineer NvidiaAsic Design EngineerSanta Clara, CAWhat you'll be doing: Drafting microarchitecture documents and implementing high-performance, and area and power-efficient RTL to meet strictly defined development targets and specifications. Collaborating closely with architects, other designers, and pre and post silicon verification teams to deliver world-class RTL builds.
Senior Technical Program Manager, Deep Learning Initiatives NVIDIA CorpSenior Technical Program Manager, Deep Learning InitiativesSanta Clara, CAPractical experience with deep learning frameworks, GPU-accelerated computing, distributed systems, modern software development practices, agile development, CI/CD, and tools such as Git, GitHub, GitLab, Jira, Aha!, or Confluence. This role supports teams building, training, evaluating, optimizing, and deploying sophisticated AI models on NVIDIA's accelerated computing platform.
ML Systems Engineer, Large-Scale Model Training & RL Infrastructure Nebius Group NVML Systems Engineer, Large-Scale Model Training & RL InfrastructurePalo Alto, CA$195,200–$262,200 / yearIntegrate and extend frameworks such as Megatron-LM, DeepSpeed, PyTorch FSDP/DTensor, Ray, verl, slime, AReaL, OpenRLHF, or equivalent internal systems. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Senior Machine Learning Engineer, LLM Inference Optimization Nebius Group NVSenior Machine Learning Engineer, LLM Inference OptimizationPalo Alto, CA$195,200–$262,200 / yearPractical knowledge of at least one modern inference stack such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or equivalent internal systems. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
ML Infrastructure Engineer X CorpML Infrastructure EngineerPalo Alto, CA$180,000–$440,000 / year2+ years of industry experience working with high traffic or large-scale production environments, distributed systems, GPU infrastructure, and/or deep learning applications. RESPONSIBILITIES: Designing, building, and scaling GPU compute infrastructure, training frameworks, and experimentation tools to enable rapid iteration on ML hypotheses.
Senior Software Engineer - HPC NVIDIA CorpSenior Software Engineer - HPCSanta Clara, CAWays to stand out from the crowd: Prior experience building core infrastructure or control planes for HPC clusters, large-scale AI/ML platforms, or systems managed by job schedulers (e.g., Slurm or Kubernetes). Deep understanding of scalability, consistency, and performance trade-offs in server-side systems; ability to build horizontally scalable, resilient, and low-latency services.
Senior HPC Cluster Engineer NVIDIA CorpSenior HPC Cluster EngineerSanta Clara, CAWe are seeking a highly skilled and experienced HPC Cluster Engineer to design, deploy, and operate GPU Compute Clusters for EDA (Electronic Design Automation) and high-performance computing workloads used across multiple teams and projects. Minimum of 5 years of proven experience crafting and operating large scale compute infrastructure, including cluster configuration managements tools such as BCM or Ansible.
Senior Software Engineer, CUTLASS Platform NVIDIA CorpSenior Software Engineer, CUTLASS PlatformSanta Clara, CAIf you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. What you'll be doing: Develop core components of the CUTLASS platform including Tensor Core MMAs, copies, synchronization barriers, schedulers, and other GPU hardware features in CUDA C++ and CUTLASS Python DSL.
Senior Digital Design Engineer NVIDIA CorpSenior Digital Design EngineerSanta Clara, CAWhat you'll be doing: As a key member of the NVLink Fusion design team, you will analyze the architectural requirements, perform the trade-off analysis for implementation, and deliver high performance, area and power efficient RTL Blocks. We have some of the most forward-thinking and hardworking people in the world working for us, and, due to outstanding growth, our special engineering teams are growing fast.
Principal Software Engineer - DGX Cloud NVIDIA CorpPrincipal Software Engineer - DGX CloudSanta Clara, CAPartner with executive and engineering leadership to codify critical business processes into self-measuring, scalable, and operationally consistent platforms, drastically reducing manual toil. Drive technical alignment across dependent systems and partner teams to ensure cohesive integration, clear interfaces, and reliable end-to-end workflows, with a strong focus on delivery.
Senior Software Engineer, GoLang - DSX MaxQ NVIDIA CorpSenior Software Engineer, GoLang - DSX MaxQSanta Clara, CAIn this role, you will work closely with the broader NVIDIA team to design and build cloud-native management agents, Kubernetes integrations, and end-to-end integration solutions that combine GPUs with the rest of the datacenter software management ecosystem. We are focused on supporting NVIDIA products across HPC, cloud, and enterprise on both bare metal and virtualized platforms as the role of GPUs in all of these environments expands.
Senior Security Architect NVIDIA CorpSenior Security ArchitectSanta Clara, CAYou will work with engineering, infrastructure, research, platform, legal, compliance, and executive teams to identify risks, respond to incidents, and build resilient security programs for next-generation AI infrastructure. Experience with compute and networking systems security architecture and engineering Experience in securing AI agents using sandboxing technologies and AI-based threat detection (e.g.
Manager, Deep Learning Algorithms NVIDIA CorpManager, Deep Learning AlgorithmsSanta Clara, CAThis is a highly cross-functional role for someone who understands deep learning systems, observability, and large-scale software platforms, and who is excited about building agentic workflows that help teams reason over complex telemetry and performance data. Hands-on experience with production GenAI serving systems and metrics such as TTFT, TPOT, throughput, queueing delay, GPU utilization, KV cache pressure, error rates, and cost per token.