Santa Clara, California, United States · On-site
$152k–$288k/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: C++, 3D Computer Vision, Multi-view Geometry, Structure from Motion, SLAM
Santa Clara, California, United States · On-site
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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: C++, 3D Computer Vision, Multi-view Geometry, Structure from Motion, SLAM
Santa Clara, California, United States · On-site
$18/hr–$19/hr
Title:Custodian Job Description: Job Overview The Custodian is responsible for the cleanliness and sanitation of all areas assigned. Roles & Responsibilities To perform this job successfully and safely, an individual mus…
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Santa Clara, California, United States · Hybrid
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Santa Clara, California, United States · On-site
$174k–$257k/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: Account Strategy, Strategic Relationship Management, Contract Negotiation, Sales Forecasting, Pipeline Management
Santa Clara, California, United States · On-site
$124k–$230k/yr
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Santa Clara, California, United States · On-site
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Skills: Computer Architecture, OS Fundamentals, Bash, Perl, Python
Santa Clara, California, United States · On-site
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NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC-gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU-accelerated deep learning ignited modern AI—…
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Santa Clara, California, United States · On-site
$151k–$226k/yr
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Skills: SoC Emulation, Palladium, Veloce, Zebu, Verilog
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
$100k–$137k/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: Electrical Architecture, Power Distribution, Tool Interlock Systems, Safety Systems, I/O Control Systems
Santa Clara, California, United States · Hybrid
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Interested candidates based outside of the designated areas are welcome to apply, provided they have the indefinite right to work in the job location. Cohesity is a leader in AI-powered data security and management. Aide…
Skills: Performance Analysis, Performance Modeling, GoLang, Python, Computer Operating Systems
Santa Clara, California, United States · On-site
$147k–$203k/yr
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Skills: Precision Engineering, Mechatronics, Optomechanical Integration, Motion Systems, Controls Integration
Santa Clara, California, United States · On-site
$165k–$190k/yr
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Skills: Program Management, Product Development, New Product Development, Customer Engagement, Stakeholder Management
Santa Clara, California, United States · On-site
Work is Sweet! 'Quality without Compromise' is not just a motto at See’s Candies. It is the most important ingredient in our recipe for success. See’s Candies has been in business since 1921 and maintains a reputation fo…
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Irvine, California, United States · On-site
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Skills: Board Product Engineering, New Product Introduction (NPI), PCB Manufacturing, SMT Assembly, High-Speed Digital Design
Santa Clara, California, United States · On-site
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What if breakthrough AI could help communities prepare for hurricanes, droughts, and floods before they happen? To help the world understand and predict its weather and climate, we’re looking for a storyteller and market…
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Santa Clara, California, United States · On-site
$200k–$322k/yr
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionised parallel computing — with th…
Skills: Technical Program Management, Supply Chain Management, Process Reengineering, Agile Methodology, Scrum
Santa Clara, California, United States · On-site
$184k–$357k/yr
NVIDIA is redefining what is possible in AI, accelerated computing, and large-scale compute systems. Within NVIDIA Infrastructure Services (NVIS), we help customers, OEMs, and NVIDIA teams bring advanced GPU systems from…
Skills: Engagement Management, Technical Delivery, Infrastructure Architecture, Risk Management, Stakeholder Management
Santa Clara, California, United States · On-site
$128k–$201k/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: Financial Planning And Analysis, Financial Modeling, Forecasting, Budget Management, Executive Presentation
Santa Clara, California, United States • On-site
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Build scalable mapping systems and 3D reconstruction algorithms using crowdsourced perception data from millions of vehicles. Develop production-quality C++ pipelines to transform fleet data into reliable maps for autonomous driving systems.
Requires 5+ years of experience and a degree in Computer Science, Robotics, or a related technical field. Must have strong C++ skills and a solid foundation in 3D geometry and computer vision.
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 into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We seek a passionate team member to build planet-scale maps supporting self-driving technology using crowdsourced data from millions of cars around the world. The role involves computer vision, geometry, pose estimation, sensor fusion, and large-scale systems. You will transform sparse perception signals and dense video clips into accurate and fresh maps. Our work helps autonomous vehicles understand the road with high-quality map priors. These maps improve driving performance, safety, and coverage. You will work with a diverse team of engineers in mapping, perception, reconstruction, localization, and autonomous driving. Together, we will deliver impact to customers worldwide.
Build scalable mapping systems using crowdsourced perception data and multi-camera video from millions of vehicles.
Develop 3D reconstruction, structure-from-motion, pose estimation, and multi-view geometry algorithms for large-scale road scene understanding.
Build map fusion and change-detection methods that can handle noisy observations, dynamic scenes, imperfect localization, and global consistency constraints.
Build C++ production systems and offline pipelines that transform fleet data into reliable map products used in self-driving and driver support technologies.
Invent evaluation methods to measure map accuracy, freshness, coverage, consistency, and downstream autonomy impact.
Develop visualization, debugging, and triage tools to understand reconstruction quality, map issues, localization errors, and fleet data gaps.
Work closely with perception, localization, simulation, planning, and infrastructure teams to integrate crowdsourced maps into autonomous driving systems.
Relentlessly improve the scale, fidelity, freshness, and reliability of maps built from real-world fleet data.
5+ years of experience and BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Mathematics, or a related technical field (or equivalent experience).
Strong programming skills in C++ and experience building production-quality software systems.
Solid foundation in 3D computer vision, 3D geometry, multi-view geometry, structure from motion, SLAM, pose estimation, or related areas.
Experience working with large-scale sensor data, including camera video, perception outputs, vehicle poses, GPS/IMU signals, lidar, radar, or map data.
Ability to reason about coordinate frames, calibration, uncertainty, optimization, geometric consistency, and error propagation.
Experience crafting algorithms that are robust to noisy real-world data, dynamic objects, occlusions, incomplete coverage, and long-tail failures.
Strong debugging and analytical skills, including the ability to inspect data visually, build metrics, and connect system-level failures to algorithmic root causes.
Experience building maps, localization systems, 3D reconstruction systems, perception systems, or sensor-fusion pipelines for autonomous driving or advanced driver assistance systems.
Background in large-scale mapping, crowdsourced map construction, map fusion, change detection, map freshness, road topology, lane geometry, or semantic map generation.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. 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.
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.
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