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Neural Electrical Engineer Jobs (NOW HIRING)

Torc Robotics

Staff, ML Engineer - Scene Generation

... Electrical Engineering), with industry experience shipping production software and leading technical teams. * Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting ...

Qualcomm

Computer Vision System Engineer

San Diego, CA · On-site

... Electrical Engineering, Computer Science, or related field. Preferred Qualifications * Multiple years of experience developing mobile computer vision and AI systems. * Deep knowledge of modern neural ...

Qualcomm

Computer Vision System Engineer

San Diego, CA · On-site

... Electrical Engineering, Computer Science, or related field. Preferred Qualifications * Multiple years of experience developing mobile computer vision and AI systems. * Deep knowledge of modern neural ...

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Neural Electrical Engineer information

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$50.5K

$111.1K

$168K

How much do neural electrical engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for neural electrical engineer in the United States is $111,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $132,000.00 per year, depending on experience, location, and employer.

What is a neural electrical engineer?

A Neural Electrical Engineer is a specialized professional who designs, develops, and tests electrical devices and systems that interface with the nervous system. These engineers work on technologies such as brain-computer interfaces, neural prosthetics, and medical devices that monitor or stimulate neural activity. Their work often involves collaborating with neuroscientists, biomedical engineers, and clinicians to create solutions for neurological disorders or to enhance brain-machine communication. They require strong backgrounds in electrical engineering, neuroscience, and signal processing. This field is at the forefront of developing innovative treatments and assistive technologies.

What are the key skills and qualifications needed to thrive as a neural electrical engineer?

To thrive as a Neural Electrical Engineer, you need a strong background in electrical engineering, neuroscience, and signal processing, often supported by a relevant degree and research experience. Familiarity with neural interface technologies, biomedical device design tools, and programming languages like MATLAB or Python is typically required. Exceptional problem-solving, teamwork, and communication skills help navigate complex interdisciplinary projects and collaborate with clinicians or researchers. These competencies are crucial for developing innovative neural devices that advance medical technology and improve patient outcomes.

What are some common challenges faced by neural electrical engineers when designing neural interface devices?

Neural Electrical Engineers often encounter challenges such as ensuring biocompatibility of implanted devices, minimizing signal noise, and maintaining reliable long-term performance in complex biological environments. Balancing miniaturization with power efficiency and data transmission requirements is also a frequent hurdle. Effective collaboration with neuroscientists, clinicians, and materials scientists is crucial to address these multidisciplinary challenges and deliver safe, high-performance neural interface solutions.

What cities are hiring for Neural Electrical Engineer jobs?

Cities with the most Neural Electrical Engineer job openings:

What states have the most Neural Electrical Engineer jobs?

States with the most job openings for Neural Electrical Engineer jobs include:

What are popular job titles related to Neural Electrical Engineer jobs?

For Neural Electrical Engineer jobs, the most frequently searched job titles are:

Infographic showing various Neural Electrical Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $111,091 per year, or $53.4 per hour.

Senior Software Engineer - VLM Microservices for Neural Reconstruction

Santa Clara, CA • On-site

NVIDIA Corporation
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about NVIDIA Corporationexternal

$142K - $188K/yr

Other

Re-posted 28 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

NVIDIA is a world-leader in Gaussian Splatting and Neural reconstruction. Our team builds the Omniverse NuRec SDK to enable robotic, healthcare, and AV developers to build better models faster with closed-loop validation and closed-loop training grounded in real-world scenarios.**What you'll be doing:*** Design, build, and optimize containerized inference execution for the latest 3D VLMs from NVIDIA, turning research work into production-grade, highly optimized software (NIMs, NVIDIA Inference Microservices)* Develop benchmarks to validate the models accuracy and performance (latency, throughput, scalability)* Release and maintain the models and their pipelines throughout their lifecycle (bug fixes, security patches)* Contribute VLM-related features to Open-Source projects like vLLM* Collaborate closely with Research and Product teams and influence our common roadmaps**What we need to see:*** Master's of Science in Computer Science + 3 years, or Electrical Engineering, Bachelor of Science (or equivalent experience) + 5 years of experience.* History of building, validating and releasing production-grade AI distributed systems, backend services, microservices, and cloud technologies.* Deep technical expertise in distributed applications using Docker, Kubernetes, endpoints and their APIs (REST, gRPC), Helm.* Hands-on experience with modern inference platforms (vLLM, SGLang, Torch, TRT, TRT-LLM).* Proficiency with Python and C++.* Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization).* Excellent written, visual, and verbal communication.* Curiosity and drive to learn new technologies and partner across teams and functions.**Ways to Stand Out from the Crowd:*** Experience with ML model engineering: training, fine-tuning, distillation, quantization.* Experience with low-level optimization of ML models (CUDA kernels)* Strong fundamentals in 3D graphics, 3D computer vision or neural reconstruction (NERFs, Gaussian Splats).* History of multidisciplinary creativity and innovation around software engineering in multiple problem domains.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 .Applications for this job will be accepted at least until February 16, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse 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. #J-18808-Ljbffr

What Nvidia employees say

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About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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