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Temporary Nvidia Engineering information

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$197K

How much do temporary nvidia engineering jobs pay per year?

As of Jul 18, 2026, the average yearly pay for temporary nvidia engineering in the United States is $137,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $151,500.00 per year, depending on experience, location, and employer.

What are Temporary Nvidia Engineering jobs?

Temporary Nvidia Engineering jobs are short-term positions at Nvidia, typically filled to meet project demands, cover employee absences, or provide specialized skills for a limited period. These roles can range from hardware and software engineering to research and development positions. Temporary engineers work on innovative projects involving graphics processing, AI, and other cutting-edge technologies. Although these jobs are not permanent, they provide valuable experience and networking opportunities within a leading tech company like Nvidia.

What are the key skills and qualifications needed to thrive as a Temporary Nvidia Engineer, and why are they important?

To thrive as a Temporary Nvidia Engineer, you need a solid background in computer engineering, programming (C/C++ or Python), and experience with hardware or software development, often supported by a relevant degree. Familiarity with Nvidia’s development tools such as CUDA, GPU architecture, and version control systems is typically required. Strong problem-solving skills, adaptability, and effective communication help you quickly integrate with teams and adapt to project needs. These skills ensure high productivity and quality contributions in a fast-paced, innovation-driven environment where contract roles demand rapid impact.

What is the difference between Temporary Nvidia Engineering vs Temporary Nvidia Data Scientist?

AspectTemporary Nvidia EngineeringTemporary Nvidia Data Scientist
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentHardware development, software engineering, system testingData analysis, model development, statistical analysis
Employer & Industry UsageUsed in hardware and software product development within NvidiaUsed in AI, machine learning projects, and data-driven solutions at Nvidia

Temporary Nvidia Engineering focuses on hardware and software development, requiring engineering credentials and working in product development environments. In contrast, Temporary Nvidia Data Scientist emphasizes data analysis and modeling skills, working primarily on AI and machine learning projects. Both roles are essential in Nvidia's innovation pipeline but differ in their technical focus and daily tasks.

What types of projects do Temporary Nvidia Engineering roles typically work on, and how do they collaborate with full-time teams?

Temporary Nvidia Engineering roles often focus on short-term, high-priority projects such as software development, hardware validation, or performance optimization. Contractors are usually integrated into existing teams and work closely with full-time engineers, project managers, and cross-functional partners to meet project milestones. While the assignments are time-bound, temporary engineers are expected to contribute actively during team meetings, participate in code reviews, and share updates regularly. This collaborative environment helps ensure project continuity and gives temporary staff valuable exposure to Nvidia’s cutting-edge technologies and workflows.
More about Temporary Nvidia Engineering jobs
What cities are hiring for Temporary Nvidia Engineering jobs? Cities with the most Temporary Nvidia Engineering job openings:
What are the most commonly searched types of Nvidia Engineering jobs? The most popular types of Nvidia Engineering jobs are:
What states have the most Temporary Nvidia Engineering jobs? States with the most job openings for Temporary Nvidia Engineering jobs include:
What job categories do people searching Temporary Nvidia Engineering jobs look for? The top searched job categories for Temporary Nvidia Engineering jobs are:
Temporary Nvidia Engineering jobs near you
Infographic showing various Temporary Nvidia Engineering job openings in the United States as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $137,006 per year, or $65.9 per hour.

Contractor, Robotics Engineer

Lila Sciences

Cambridge, MA • On-site

Full-time, Contractor

Re-posted 5 days ago

Job description

Your Impact at LILA
Lila's Autonomous Science Platform is building a closed-loop, AI-driven scientific facility, and inter- and intra-cell transport in the AISF is a critical bottleneck on that path. We're bringing on a Robotics Engineer on a temporary basis to help unblock it.
Sitting on the Next Gen Robotics team and based at Alewife, you'll work hands-on across the robotics stack - physical hardware and simulation - to integrate, tune, and debug systems that have to run reliably in production. The work spans ROS2 development, motion planning, and real-world hardware integration, with upstream science projects (including 1023-009-GRIDv1) gated on what you ship. This is a 3-month contract with potential to extend and potential to convert to full-time based on performance and ongoing need.
What You'll Be Building
  • Develop ROS2 nodes, launch files, and message/service/action interfaces to support inter- and intra-cell transport workflows
  • Bring up and integrate physical robotic systems - including arms, AMRs, or mobile manipulators - into the AISF environment
  • Build and maintain simulation environments in Isaac Sim and/or Gazebo to de-risk hardware deployments before they hit the floor
  • Debug hardware and software integration failures end-to-end: kinematics, calibration, timing, and sensor issues
  • Contribute domain depth in motion planning, navigation, localization, perception, or sensor fusion as the team's needs evolve
  • Document configurations, failure modes, and operating procedures so the team can scale and maintain what you deploy

What You'll Need to Succeed
  • Bachelor's degree or higher in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a closely related field, or equivalent hands-on industry experience
  • Strong experience with ROS2: node development, launch files, message/service/action interfaces
  • Solid understanding of robot kinematics - forward/inverse kinematics, Jacobians, transforms
  • Proficiency in at least one robotic simulation platform: NVIDIA Isaac Sim and/or Gazebo
  • Demonstrated experience working with physical robots - robotic arms, AMRs, and/or mobile manipulators
  • Depth in at least one of: motion planning (MoveIt2, trajectory generation), autonomous navigation (Nav2), localization (SLAM, AMCL), perception (object detection, depth sensing), or sensor fusion (IMU, LiDAR, camera integration)

Bonus Points For
  • Experience deploying robotic systems to production or field environments
  • Strong Python and/or C++ in a ROS2 context
  • Ability to debug hardware/software integration issues independently
  • Experience in lab automation or scientific environments

About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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