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Remote Radar Signal Processing Engineer Jobs in California

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

... engineers, and product managers to translate fundamental scientific knowledge into clinical and ... Apply signal processing, machine learning, and statistical analysis to decode biosignals. * Develop ...

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site +1

$119K - $156K/yr

Audio signal processing, ASR, NLP, and NLG/dialog for conversational automation * Computer vision ... Engineering management (both personnel & projects) * LAMP stack w/ PHP, and Django web framework

Raytheon

Senior Principal Electrical Engineer

Sacramento, CA · On-site +1

$148K - $181K/yr

US-CA-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status ... Support radar Warning Receivers (RWR) and other Electronic Warfare (EW) products requiring working ...

Mote, Inc.

Process Engineer

Los Angeles, CA · On-site +1

$95K - $120K/yr

If remote, regular travel is expected. About Mote Mote is developing a first-of-a-kind technology ... Experience with gasification, biomass conversion, and/or gas processing. * Demonstrated leadership ...

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Remote Radar Signal Processing Engineer information

What are the key skills and qualifications needed to thrive as a Remote Radar Signal Processing Engineer, and why are they important?

To thrive as a Remote Radar Signal Processing Engineer, you need a strong background in electrical engineering, digital signal processing, and radar theory, typically supported by a relevant degree. Proficiency with MATLAB, Python, C/C++, and tools like Simulink or FPGA development environments is often required, along with familiarity with simulation and analysis software. Excellent problem-solving, communication, and teamwork skills are crucial for collaborating with remote teams and conveying technical concepts clearly. These competencies are essential for developing effective radar solutions, ensuring system reliability, and supporting innovation in distributed engineering environments.

What are some common challenges faced by Remote Radar Signal Processing Engineers and how can they be addressed?

Remote Radar Signal Processing Engineers often encounter challenges such as managing large volumes of complex data, ensuring reliable communication with distributed teams, and debugging system performance without direct access to hardware. To address these challenges, engineers typically rely on advanced simulation tools, maintain clear and regular communication with hardware teams, and use remote desktop solutions to access necessary systems. Emphasizing strong documentation and version control also helps keep projects organized and collaborative in a remote setting.

What are Remote Radar Signal Processing Engineers?

Remote Radar Signal Processing Engineers are professionals who design, develop, and optimize algorithms and systems for processing radar signals, often while working remotely. They analyze raw radar data to extract meaningful information, such as object detection, tracking, and imaging. These engineers use advanced mathematical models and programming to enhance radar system performance and reliability. Their work is crucial in applications like defense, aviation, weather forecasting, and autonomous vehicles.
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Remote Radar Signal Processing Engineer jobs near you

Senior / Staff Software Engineer, High-Performance Onboard Algorithms

Waabi

San Francisco, CA • On-site, Remote

$148K - $260K/yr

Full-time

Posted 10 days ago

Be an early applicant

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Software Engineer in High-Performance Onboard Algorithms, you will be a key contributor to the development and optimization of our real-time signal processing pipeline for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and others) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation.

You will…

- Be part of a multidisciplinary team of Engineers and Scientists working on building a best-in-class, high-performance sensor processing stack.

- Design, implement, and optimize highly efficient algorithms for sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware.

- Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming.

- Collaborate with Waabi’s autonomy and hardware teams to ensure the efficiency and robustness of the entire system.

Qualifications:

- Fundamentals of computer architecture. You have a deep understanding of how modern computer systems work (multi-core, vector units, cache management, memory hierarchy, networking).

- Data-parallel algorithms. You have experience implementing data-parallel and compute-intensive algorithms in domains such as image/video processing, compression, and optimizing modern neural networks.

- Heterogeneous computing and systems programming. You are comfortable with balancing workloads across multiple different processors, managing the ownership and movement of data buffers, and optimizing for overall system performance.

- Performance profiling and optimization. You know how to identify bottlenecks in a complex codebase and make optimization decisions that have lasting impact.

- Shipping Production Software. You have experience in reading and developing production quality software. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust and a variety of DSLs).

Bonus:

- Experience with accelerated computing like CUDA, Vulkan, and OpenCL.

- Experience with domain specific languages such as Halide, Taichi, Mojo, or Warp.

- Experience with CPU intrinsics (SSE/AVX, NEON/SVE).

- Experience with embedded systems.

- Shipped production software in one or more of the following areas: image and video processing, compression, streaming algorithms, deep learning, geometry processing.

- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.

The US yearly salary range for this role is: $148,000 - $260,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.