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Temporary Gpu Programming Jobs (NOW HIRING)

Bedrock Robotics

Hardware Engineer

San Francisco, CA · On-site

$145K - $192K/yr

High performance/power edge compute including multi-CPU platforms with significant GPU resources ... wide temp ranges, IP, and solar loading * High speed signaling including GSML, multi gigabit ...

TEKsystems

Lab Operations Engineer

Santa Clara, CA

$70 - $75/hr

Exposure to GPU-based systems and accelerated computing environments. Experience with Dell ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

TEKsystems

Lab Operations Engineer

Santa Clara, CA

$70 - $75/hr

Exposure to GPU-based systems and accelerated computing environments. Experience with Dell ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

TEKsystems

Data Center Lab Operations Engineer

Reno, NV · On-site

$35/hr

Gain exposure to advanced compute, GPU, and infrastructure environments. * Play a key role in ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

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How much do temporary gpu programming jobs pay per year?

As of Sep 11, 2026, the average yearly pay for temporary gpu programming in the United States is $64,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What is a temporary GPU programmer?

A Temporary GPU Programmer is a professional hired on a short-term basis to develop, optimize, or maintain software that runs on Graphics Processing Units (GPUs). These programmers typically work with languages like CUDA, OpenCL, or DirectX to accelerate complex computations or graphics rendering. Temporary roles may be project-based, such as optimizing machine learning models, scientific simulations, or enhancing graphics in games and applications. Companies often hire temporary GPU programmers to meet specific deadlines, handle workload spikes, or bring in specialized expertise for certain tasks.

What types of projects or tasks are commonly assigned to temporary GPU programming roles?

Temporary GPU programming roles typically focus on short-term, high-impact projects such as optimizing existing code for parallel processing, accelerating specific algorithms, or supporting research and development teams with prototype implementations. You may be tasked with profiling and enhancing the performance of applications using frameworks like CUDA or OpenCL, or assisting with machine learning model training and inference on GPU hardware. Collaboration with data scientists, software engineers, and domain experts is common, and your contributions often involve delivering tangible speedups or enabling new computational capabilities within tight timelines.

What are the key skills and qualifications needed to thrive as a temporary GPU programmer, and why are they important?

To thrive as a Temporary GPU Programmer, you generally need strong proficiency in parallel programming, C/C++, and deep knowledge of GPU architectures, often supported by a degree in computer science or a related field. Familiarity with technical tools like CUDA, OpenCL, and GPU profiling/debugging systems is typically required. Problem-solving ability, attention to detail, and effective communication are standout soft skills for this role. These skills ensure efficient development, optimization, and troubleshooting of GPU-accelerated applications in a fast-paced, project-based environment.

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Hardware Engineer

San Francisco, CA • On-site

Bedrock Robotics
See more jobs at Bedrock Roboticsexternal

$145K - $192K/yr

Full-time

Re-posted 10 days ago

Job description

Join the team bringing advanced autonomy to the built world
At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects.
We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
We're growing our sizable fleet of retrofitted autonomous construction machines and we're looking for a talented hardware engineer to help define system architecture, test and integrate modules into the system, and generally provide coverage on critical HW workstreams. You will work alongside senior engineers responsible for designing these systems, and be responsible for delivering highly robust and capable autonomous HW systems to the field.
Key Qualifications:
  • Strong foundational knowledge in traditional HW engineering subjects such as electrical design, testing, and deployment of hardware systems in rugged outdoor environments
  • Experience leading large HW development programs from ideation through proto, EVT, DVT, and production stages
  • Experience with some or all of the following:
    1. High performance/power edge compute including multi-CPU platforms with significant GPU resources
    2. Common autonomous sensing technologies including lidar (spinning, flash), camera (visible, SWIR, NIR, etc...), radar, GNSS, and IMUs
    3. Packaging and integration strategies for high performance HW systems in rugged environments including high shock/vibe, wide temp ranges, IP, and solar loading
    4. High speed signaling including GSML, multi gigabit ethernet, RF
  • Proficiency in compiled (C/C++/Rust), shell (linux bash), or runtime (Python) languages with ability to prototype and debug software components of HW systems as well as run tests, data collection, analysis, and reporting

Description and Responsibilities
The candidate will be responsible for designing, characterizing, integrating, and validating bedrock autonomy hardware.
  • Help define system and component level HW architecture for autonomous machines
  • Establish and lead relationships and programs with external vendors to deliver critical components and systems for our autonomous HW platforms
  • Work with safety team to establish requirements and performance metrics for components and systems
  • Write reusable, high quality, sensor data analysis and test automation software (Python and/or C++/C/Rust)

Education and Experience
  • 6+ years of professional relevant industry experience as hardware engineer or related technical role
  • Bachelor's or Master's degree in Electrical Engineering, Mechatronics or related technical field
  • Strong fundamentals in HW engineering
  • Understanding and knowledge of physical processes by which a sensor operates
  • Hands on experience with characterization of autonomy sensors like lidar, radar, and cameras

Ways to Stand Out From the Field
  • Deep experience in any of these areas:
    • Camera and optics design and performance
    • Camera imaging pipeline including sensor options, ISP tuning, compression, and storage
    • Aperture degradation, HW components for sensor cleaning including sprayers, air puffers, wipers, ultrasonics, and other cleaning methods
    • High performance embedded compute, in particular Nvidia Jetson lineup
    • High and low speed communication protocols (GMSL, FPDlink, PCIe, multi GigE, A2B, CAN, UART, SPI, RS232/422/485, etc...)
  • Experience with system engineering requirements definition and V&V
  • Experience with common standards for HW deployment in construction
    • ISO26262, ISO16750, SAE J1455, etc...
  • Familiarity with large commercial construction equipment electrical and mechanical HW

Bedrock Robotics is an Equal Opportunity Employer
We're committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.

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