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Temporary Software Engineer Gpu Jobs in Riverside, CA

Jr Algorithms/Video Engineer

Irvine, CA · On-site

$80 - $150K/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong programming skills in C/C++, Python required, with experience in embedded software ... Experience with hardware-software integration and optimization for embedded systems, including GPU ...

Firmware & Software: Set up and customize Linux environments (Ubuntu, Yocto, JetPack), middleware ... Monitor compute system performance across CPU, GPU, memory, I/O, and networking. What You Have

Firmware & Software: Set up and customize Linux environments (Ubuntu, Yocto, JetPack), middleware ... Monitor compute system performance across CPU, GPU, memory, I/O, and networking. What You Have

Showing results 41-60

Temporary Software Engineer Gpu information

See Riverside, CA salary details

$66.2K

$153.9K

$214.4K

How much do temporary software engineer gpu jobs pay per year?

As of Aug 18, 2026, the average yearly pay for temporary software engineer gpu in Riverside, CA is $153,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $180,500.00 per year, depending on experience, location, and employer.

What does a temporary software engineer GPU do?

A Temporary Software Engineer GPU is responsible for designing, developing, and optimizing software that interacts with graphics processing units (GPUs), typically for a specific project or short-term period. Their duties may include writing code to improve GPU performance, working on graphics or compute-intensive applications, and collaborating with hardware and software teams to ensure efficient GPU utilization. These roles are often contract-based and require strong programming skills in languages such as C++ or CUDA, as well as a solid understanding of GPU architectures.

What are the typical projects a temporary software engineer GPU might work on, and how do they collaborate with permanent team members?

As a Temporary Software Engineer GPU, you can expect to be assigned to specific, time-bound projects such as optimizing graphics performance, supporting new hardware integration, or debugging GPU-related issues. You’ll often work closely with permanent engineers, participating in code reviews, daily stand-ups, and cross-functional meetings to ensure alignment and knowledge transfer. Collaboration is key, as you may need to quickly get up to speed with existing codebases and tools, and contribute solutions that fit seamlessly into larger, ongoing projects. The role offers a fast-paced environment where adaptability and strong communication skills are highly valued.

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

To thrive as a Temporary Software Engineer GPU, you need a solid background in computer science, experience with GPU programming (such as CUDA or OpenCL), and proficiency in languages like C++ or Python. Familiarity with GPU development environments, debugging tools, and version control systems, along with any relevant certifications, is highly valuable. Strong problem-solving abilities, adaptability, and effective teamwork skills help set candidates apart in this fast-evolving field. These skills enable efficient development, optimization, and integration of GPU-accelerated applications, which is crucial for meeting project deadlines and technical goals.

What are the most commonly searched types of Software Engineer Gpu jobs in Riverside, CA?

The most popular types of Software Engineer Gpu jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Temporary Software Engineer Gpu jobs?

Cities near Riverside, CA with the most Temporary Software Engineer Gpu job openings:

Jr Algorithms/Video Engineer

TRL11, Inc.

Irvine, CA • On-site

$80 - $150K/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 hours ago


Job description

TRL11 is a venture backed deep tech / defence tech startup bringing cutting-edge video technology to Aerospace applications. Based in Irvine, CA, we are seeking highly passionate, skilled and experienced Algorithms/Video Engineers with a focus on cutting edge video processing technology, to join our team. You will be responsible for the design, development, and implementation of advanced computer vision and video processing pipelines to support our patent pending Space Aware Video Software Suite. Join our team and play a crucial role in shaping the future of Human Space Exploration and US National Security.

Location: Irvine, CA (in-person position)

Responsibilities:

  1. Develop and implement computer vision algorithms on embedded systems, used for identifying, tracking and classifying anomalies, trends, and intent of airborne and ground based objects using high speed cameras.
  2. Design and optimize AI/ML models for deployment on resource-constrained embedded platforms, considering factors such as memory, processing power, and energy efficiency.
  3. Participate in the entire software development lifecycle, from requirements gathering and system design to testing, deployment, and maintenance.
  4. Perform algorithm evaluation and optimization to ensure efficient and accurate real-time performance of high frame rate machine vision systems.
  5. Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate and propose innovative solutions to enhance our product offerings.
  6. Document and communicate technical concepts, algorithms, and implementation details effectively to team members and stakeholders.
  7. Experience debugging with video processing pipelines would be nice
  8. Mentor junior team members, providing guidance and technical expertise to foster their professional growth.

Requirements

  1. Bachelor's or higher degree in Computer Science, Data Science, Electrical Engineering, Physics or related field.
  2. Strong programming skills in C/C++, Python required, with experience in embedded software development a plus.
  3. Solid understanding of AI/ML techniques, deep learning frameworks, and computer vision.
  4. Experience with hardware-software integration and optimization for embedded systems, including GPU acceleration, FPGA implementation, multi-core parallel processing.
  5. Experience working with video processing pipelines and workflows.
  6. Proficiency in working with popular embedded platforms, such as ARM-based SoCs and microcontrollers.
  7. Familiarity with basic image processing techniques, camera systems, and sensor integration.
  8. Knowledge of real-time operating systems (RTOS) and software development for embedded systems.
  9. Excellent problem-solving skills and the ability to work independently as well as in a team environment.
  10. Strong communication skills to effectively convey complex technical concepts and collaborate with cross-functional teams.

Nice to Have:

  • US Citizenship / Green Card

Benefits

  • Fast paced, energetic startup culture, where you'll learn a lot, have great impact, and have fun doing it
  • Base salary $80- $150k, depending on experience
  • Bonus, 401k, Health Care Plan (Medical, Dental, Vision)
  • Unlimited Paid Time Off (with prior approval), for Vacation, Sick & Public Holidays, Maternity, Paternity
  • Possible Stock Option Plan participation, based on performance and tenure.