AI Engineer, Special Programs - Top Secret Clearance SpaceXAI Engineer, Special Programs - Top Secret ClearancePalo Alto, CA$125,000–$220,000 / yearTo conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan.
Senior Software Engineer – Platform (Containers & Kubernetes) AVEVASenior Software Engineer – Platform (Containers & Kubernetes)San Leandro, California$117,600–$196,200 / year117,600.00 - $196,200.00 T his pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training. It provides development teams with secure, pre‑scanned, digitally signed container images and enables consistent, reliable, and secure build workflows across AVEVA’s product portfolio.
NewSr. AI Engineer, Special Programs - Top Secret Clearance Space Exploration TechnologiesSr. AI Engineer, Special Programs - Top Secret ClearancePalo Alto, CA$220,000–$350,000 / yearITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan.
Senior GPU System Software Engineer NvidiaSenior GPU System Software EngineerSanta Clara, CAThis position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. 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.
NewResearch Engineer, Interactive World Models - New College Grad 2026 NvidiaResearch Engineer, Interactive World Models - New College Grad 2026Santa Clara, CAHelp advance the production-ready world model frontier by working with researchers on few-step distillation, causal or autoregressive generation, reward fine-tuning, action conditioning, and long-horizon spatiotemporal memory and consistency. Experience profiling or optimizing ML workloads using CUDA, Triton, TensorRT, torch.compile, or similar tools, including work on latency, throughput, quantization, streaming, state or cache management, or multi-GPU execution.
RFIC Layout Designer (RFIC Engineering) SpaceXRFIC Layout Designer (RFIC Engineering)Palo Alto, CAWe are seeking motivated, proactive, and intellectually curious engineers who will work alongside world-class cross-disciplinary teams (systems architecture, ASIC design, firmware, pre-silicon verification, post-silicon validation, product engineering, manufacturing/production, and more). In this role, you will be on a team working on multiple silicon projects that are driving more integration, lower power, mixed signal architectures and advanced silicon technology for deployment in space and ground infrastructures.
Hardware Engineering (Electrical) Technical Lead CiscoHardware Engineering (Electrical) Technical LeadSan Jose, CaliforniaThe applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $171,600.00 - $281,800.00 Non-Metro New York state & Washington state: $151,300.00 - $250,900.00 * For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. As part of the wireless engineering group, you will collaborate with multi-functional teams—including Hardware Design, Antenna/Compliance, Power Engineering, Signal Integrity, EMC/EMI, and Mechanical Design—to deliver industry-leading wireless products.
Rfic Layout Designer (Rfic Engineering) Space Exploration TechnologiesRfic Layout Designer (Rfic Engineering)Palo Alto, CA$115,000–$155,000 / yearWe are seeking motivated, proactive, and intellectually curious engineers who will work alongside world-class cross-disciplinary teams (systems architecture, ASIC design, firmware, pre-silicon verification, post-silicon validation, product engineering, manufacturing/production, and more). RESPONSIBILITIES: Work with the integrated circuit designers and chip leads to determine the chip floor plan; this includes strategies for power and ground distribution as well as working with packaging engineer to determine pad locations.
Electrical & Computer Engineer (Temporary/Contract) CeribellElectrical & Computer Engineer (Temporary/Contract)Sunnyvale, CA$85–$100 / hourWe have working prototypes of most peripherals on various development platforms (Raspberry Pi and Arduino) and need an experienced embedded engineer to port, integrate, bring up, and test these on the target host, then help drive the design toward manufacturing readiness. The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country.
NewNvidia 2027 Internships: Deep Learning Computer Architecture NvidiaNvidia 2027 Internships: Deep Learning Computer ArchitectureSanta Clara, CADepending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: C, C++, Perl, CUDA, GPU Computing (CUDA, OpenCL, OpenACC), Deep Learning Frameworks (PyTorch, TensorFlow, Caffe), HPC (MPI, OpenMP). Course or internship experience related to the following areas could be required: Experience in one or more of these Focus Areas: GPU Architecture, CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, or High-Performance Computing Systems.
Senior Director, Reliability Engineering NvidiaSenior Director, Reliability EngineeringSanta Clara, CAThis is a role for a deeply technical leader who can operate at both the physics-of-failure level and the executive level - someone who brings rigor to reliability modeling, drives design decisions through data, and builds organizations capable of sustaining NVIDIA's pace of innovation. You will own the reliability engineering strategy for NVIDIA's broad boards and systems product portfolio, lead globally distributed teams and labs, and influence design, manufacturing, and supply chain decisions at scale.
Inference Optimization Intern – Performance Modeling Institute of Foundation ModelsInference Optimization Intern – Performance ModelingSunnyvale, CaliforniaCurrently pursuing a degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, High-Performance Computing, or a related quantitative discipline. By combining deep expertise in machine learning, systems engineering, and hardware optimization, we build scalable AI solutions that drive scientific discovery and real-world impact.
Senior AI Builder EarninSenior AI BuilderMountain View, CA$228,000–$279,000 / yearA Note on AI in the Hiring Process: EarnIn may use Artificial Intelligence (AI)-powered tools during the hiring process, including tools that generate summaries or notes for interviewers, review resumes, assist with scheduling, or help identify themes across candidate responses and profiles for a given role. You'll work at the intersection of platform engineering, developer experience, and applied AI - partnering with architects, domain leads,, and product engineers to build the tools, patterns, and guardrails that make AI adoption fast, safe, and durable.
Sr. ASIC EDA Workflow Engineer TensordyneSr. ASIC EDA Workflow EngineerSunnyvale, CaliforniaAs a valued senior member of our ASIC team, you will guide and assist your colleagues to help improve and invent EDA workflows within a fast-paced, agile HPC development environment that utilizes EDA tools from external companies like Cadence and as well as internally developed workflows. Experience leading the development and support for compilation, build automation, testing, packaging and installation project generators that build object files like either CMake, GNU make, and/or Ninja, as well as experience with CI/CD and modern Git Branching workflows.
Senior Socd Applied AI Engineer NvidiaSenior Socd Applied AI EngineerSanta Clara, CAYou will be working directly with SOCD execution and methodology teams to identify areas that can be accelerated with the use of AI services, from RAG-grounded knowledge systems and LLM-powered assistants to multi-step agents that plug into the internal design infrastructure! Practical experience building LLM-powered agents or agentic workflows, with hands-on use of Claude Code, OpenAI Codex, Cursor, or equivalent coding agents to improve development workflows.
Staff Software Technical Program Manager, Platform RADARStaff Software Technical Program Manager, PlatformSunnyvale, CA$165,000–$215,000 / yearResponsibilities: Lead programs in software development, data governance, and feature implementation through the entire SWDL, including requirements management, architectural design, proof of concept/proof of experience, engineering pilots, unit testing, scale validation, fleet deployment, and sustaining engineering. Facilitate effective ways of working among various cross-functional teams not just within software, but partner teams such as Data Science, Systems Engineering, Product Management, Customer Experience, Deployment Operations, Embedded Systems, and Hardware teams.
Senior Project Manager AptivSenior Project ManagerCupertino, CAEngineering project and personnel management skills as demonstrated by successfully planning and managing multiple simultaneous engineering projects; building and leading development teams; and directing the design and troubleshooting of complex software and hardware systems. Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy.
Senior Solutions Architect, Global Partner Team NvidiaSenior Solutions Architect, Global Partner TeamSanta Clara, CAClosely Partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build GenAI full stack solutions for industry vertical and enterprise use cases. This individual will help inspire our partners to reimagine, reinvent and operate the enterprise business processes of the world's largest companies using Agentic AI using the NVIDIA platform.
Senior Implementation Methodology Engineer NvidiaSenior Implementation Methodology EngineerSanta Clara, CAIf you are a hands-on technical leader who thrives at the intersection of physical design methodology, data-driven optimization, and scalable automation, this role offers an outstanding chance to create lasting impact in silicon engineering. Solid understanding of front-end flows and methodology: RTL build intent, DFT insertion, synthesis constraints, and UPF/CPF low-power build - enabling an end-to-end perspective.
Principal System Software Engineer - AV Platform NvidiaPrincipal System Software Engineer - AV PlatformSanta Clara, CANVIDIA is seeking a highly motivated Principal System Software Engineer to drive next-generation innovations in automotive platform software, system architecture, and performance engineering. This role requires deep technical expertise, substantial proven hands-on engineering experience, and the ability to solve complex system-level challenges across the software stack.