Santa Clara, California, United States · On-site
$320k–$489k/yr
The era of AI is here — and it's transforming how machines learn, reason, and interact with the world. Today, AI-powered autonomous vehicles can navigate rural roads at night, understand dynamic environments, and make re…
Skills: C++, C, CUDA, Linux, Android
Santa Clara, California, United States · On-site
$272k–$431k/yr
At NVIDIA, we are at the forefront of the constantly evolving field of large language models, and their application in agentic and reasoning use cases. As the scale and complexity of these LLM systems continues to increa…
Skills: Deep Learning, Python, C++, Computer Architecture, GPU Computing
Folsom, California, United States · Hybrid
$164k–$269k/yr
Job Details: Job Description: About the Role As a Senior SoC Design Verification Engineer, you will lead verification efforts for complex system-on-chip (SoC) designs that enable Intel's next generation of client computi…
Skills: SoC Verification, System Verilog, UVM, OVM, Pre-silicon Debugging
Santa Clara, California, United States · On-site
$69k–$162k/yr
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and …
Skills: Hardware Design, Hardware Validation, Digital Design, Mixed-Signal Hardware, Schematic Capture
Santa Clara, California, United States · On-site
$163k–$224k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Mechanical Engineering, Physics, Mathematics, Materials Science, Mechanical Tooling Design
Santa Clara, California, United States · Hybrid
Digital Verification Engineer Location: Santa Clara, CA Ladder: Silicon / Hardware Design Travel: Minimal (0–10%) Role Overview At Nexthop AI, the correctness of our digital logic is non-negotiable — a single functional …
Skills: Digital Verification, SystemVerilog, Verilog, UVM, FPGA
Santa Clara, California, United States · On-site
$161k–$221k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Systems Engineering, System Architecture, Systems Analysis, Project Management, Risk Mitigation
Santa Clara, California, United States · On-site
$124k–$171k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: CAD Software, Thermodynamics, Sheet Metal Design, Material Selection, Manufacturing Methods
Santa Clara, California, United States · On-site
$134k–$201k/yr
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: System Verilog, UVM, SoC Design Verification, Test Planning, C/C++
Santa Clara, California, United States · On-site
$163k–$224k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Mechanical Engineering, Physics, Mathematics, Materials Science, Custom Mechanical Tooling
Santa Clara, California, United States · On-site
$124k–$171k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Materials Engineering, Process Development, Statistical Techniques, Design of Experiment, Systematic Troubleshooting
Santa Clara, California, United States · On-site
$127k–$190k/yr
Company:Qualcomm Atheros, Inc. Job Area:Engineering Group, Engineering Group > ASICS Engineering General Summary: Job Responsibilities Own block level verification for wireless connectivity designs and meet coverage goal…
Skills: ASIC Verification, UVM, Scripting languages, Digital Logic design, SoC architecture
Santa Clara, California, United States · On-site
$168k–$259k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping i…
Skills: Hardware Platform Engineering, Systems Engineering, Technical Partner Management, Electrical Engineering, Mechanical Engineering
Santa Clara, California, United States · On-site
$168k–$311k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its outstanding legacy of innovation that’s fueled by great technology—and outstanding individuals. Today, we’r…
Skills: Cadence System Capture, SPB Allegro Layout, Python, TCL API, Cadence SKILL
Santa Clara, California, United States · On-site
$116k–$219k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping i…
Skills: Physical Design, Static Timing Analysis, Timing Convergence, Synthesis, Floor-planning
Santa Clara, California, United States · On-site
$200k–$391k/yr
We are looking for a Sr. Engineer to design, build, and scale the infrastructure powering NVIDIA’s AI agent ecosystem. You will work at the intersection of distributed systems, developer platforms, and agentic AI — build…
Skills: Kubernetes, Python, FastAPI, Kafka, Redis
Santa Clara, California, United States · On-site
$184k–$357k/yr
We are looking for a talented Senior System Software Engineer to help build NVIDIA Halos, our full-stack safety platform for physical AI: autonomous vehicles, humanoids, industrial robots, and intelligent machines that s…
Skills: C, Ada/SPARK, Python, RTOS, ARM Architecture
Santa Clara, California, United States · On-site
$168k–$322k/yr
NVIDIA’s deep learning platforms have made a major impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We are see…
Skills: Technical Program Management, New Product Introduction (NPI), Cloud Infrastructure, Hardware/Software Integration, GPU Compute
Santa Clara, California, United States · Remote OK
$152k–$288k/yr
Interested in being a part of a team that brings Artificial Intelligence (AI) to some of the biggest customers in the world? NVIDIA is looking for an experienced Solutions Architect to assist customers with adoption of G…
Skills: Solutions Architecture, Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing
Santa Clara, California, United States · On-site
$186k–$251k/yr
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > ADAS R&D Systems General Summary: This individual leads, plans, synthesizes ambiguous or conflicting requirements and performs the compl…
Skills: Camera Perception, Deep Learning, Computer Vision, High Precision Localization, Radar Perception
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Lead the VAL and SAL teams in designing software abstraction layers that interface autonomous driving software with vehicle hardware and sensors. Develop production-quality C++ code and GPGPU workloads to enable scalable, real-time autonomy.
Requires a Master's degree or higher in Computer Engineering or related fields with over 15 years of industry experience and 8+ years of management experience. Must possess expert-level C/C++ skills and deep knowledge of real-time operating systems and robotics frameworks.
The era of AI is here — and it's transforming how machines learn, reason, and interact with the world. Today, AI-powered autonomous vehicles can navigate rural roads at night, understand dynamic environments, and make real-time driving decisions. Behind this capability lies a robust software stack — and VAL/SAL (Vehicle & Sensor Abstraction Layers) are the critical interfaces that make it all possible.
In this role, you’ll lead the architecture and development of the abstraction layers that bridge our autonomous driving software with the physical world — from low-level sensor inputs and actuator commands to scalable integration with real-world hardware. You’ll be a key force behind enabling real-time autonomy at scale. This is more than just an engineering role — it’s a chance to craft the future of robotics and self-driving technology
Lead the VAL and SAL teams, designing and developing optimal software abstractions and plugin frameworks to interface with real-world vehicle and sensor systems, consistently exceeding customer expectations.
Build efficient and user-friendly mechanisms to improve software integration across a wide range of vehicles and sensor configurations.
Work on core areas such as component abstraction layers, sensor and actuator interfacing, and inter-process data sharing and communication, enabling reliable and scalable autonomous driving solutions.
Solidify existing frameworks and software components, validating improvements through extensive real-world and synthetic testing to enhance computational performance and system utilization.
Perform in-vehicle tests, collect and analyze sensor and vehicle data, and support the completion of autonomous drive missions.
Develop unit tests and documentation for key features, evaluate software quality, and propose corrective actions in alignment with industry best practices.
Develop highly efficient, production-quality C++ code, demonstrating parallel computing capabilities through GPGPU (CUDA) to accelerate processing workloads.
Follow industry safety and quality standards, including MISRA and other automotive-grade software development practices.
MS or higher in Computer Engineering, Computer Science or related Engineering fields (or equivalent experience).
15+ overall years of relevant industry experience and 8+ years of managing a team.
Excellent C and C++ programming skills.
Experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc.
Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures.
Strong knowledge on Linux, Android, and/or other real-time operating systems.
Experience with frameworks for robotics such as ROS and/or for multimedia such as GStreamer.
Thrive on writing low latency, highly performant code.
Phenomenal communication and analytical skills.
Self-motivated and a great teammate
Understanding of embedded architectures and developing software in heterogeneous architectures, including GPUs.
Knowledge of automotive systems, notably ADAS applications, AUTOSAR and drive by wire systems.
Software development for modern OpenGL (Core Profile) and Linux.
Experience with version control systems GIT and build system like CMake/Bazel
Be hands-on and work well within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation
NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking and dedicated people in the world working here. If you want to help make robotics progress in challenging contexts, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
Based on 1782 listings with disclosed salaries, most engineering jobs in Santa Clara, CA pay between $120k–$275k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,899 open engineering positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Applied Materials, NVIDIA, Qualcomm, Marvell Technology, ServiceNow, among others. Browse the listings above to see every active employer.
Yes — 323 of the 1899 open engineering positions offer remote or hybrid work (70 remote, 253 hybrid).
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