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Director Neural Engineering Jobs in California (NOW HIRING)

Epia Neuro

Staff Software Engineer

Alameda, CA

About Us Epia Neuro is a neural technology company developing intent-driven systems that restore ... You'll report to the Senior Director of Software. Location This role is based out of the San ...

Targeted Talent

Compiler Tech Lead

Los Angeles, CA

$170K - $190K/yr

We are seeking an experienced Compiler Engineer to join our exceptional team. Responsibilities ... neural nets * Experience with MLIR and spatial computing architectures * Driven and self-directed

quadric, Inc

Deep Learning Compiler Engineer

Burlingame, CA · On-site +1

$110K - $270K/yr

... engineering team, you will be tasked with lowering and optimizing neural networks on the quadric ... We value potential, curiosity, and a willingness to learn just as much as direct experience. Skills ...

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All JobsNeural Engineering JobsDirector Neural Engineering JobsDirector Neural Engineering Jobs in California

Director Neural Engineering information

What is the difference between Director Neural Engineering vs Neural Engineer?

AspectDirector Neural EngineeringNeural Engineer
Required CredentialsAdvanced degrees (PhD or MS), leadership experienceBachelor's or Master's in engineering, neuroscience, or related fields
Work EnvironmentLeadership roles in R&D teams, strategic planningHands-on research, development, and testing
Employer & Industry UsageResearch institutions, biotech, medical device companiesResearch labs, startups, healthcare organizations
Common Search & ComparisonLeadership, strategy, project managementTechnical skills, research focus

The main difference between a Director Neural Engineering and a Neural Engineer lies in their roles and responsibilities. The Director typically oversees projects, manages teams, and sets strategic goals, requiring advanced degrees and leadership experience. Neural Engineers focus on hands-on research and development, applying technical skills to design and test neural interfaces or algorithms. Both roles are vital in the neural engineering field but differ in scope and seniority.

How much money do neural engineers make?

Neural engineers, including those in neural engineering roles, typically earn between $80,000 and $150,000 annually, depending on experience, education, and location. Senior positions or those with specialized skills in neural interfaces or brain-computer interfaces can earn higher salaries, often exceeding $180,000. Industry demand for expertise in neural signal processing and neurotechnology tools influences compensation levels.

What are the most commonly searched types of Neural Engineering jobs in California?

The most popular types of Neural Engineering jobs in California are:

What are popular job titles related to Director Neural Engineering jobs in California?

For Director Neural Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Director Neural Engineering jobs in California look for?

The top searched job categories for Director Neural Engineering jobs in California are:

What cities in California are hiring for Director Neural Engineering jobs?

Cities in California with the most Director Neural Engineering job openings:

Director Neural Engineering jobs near you
Infographic showing various Director Neural Engineering job openings in California as of August 2026, with employment types broken down into 79% Full Time, 15% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Software Engineering Director, Infrared Data Products

Muon Space

San Jose, CA • On-site

$231K - $260K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

About the role
Muon seeks a Software Engineering Director to join our Team. The ideal candidate is passionate about low-latency computer vision pipelines and products.
This position is ideally hybrid at our San Jose, CA office three days per week. However, we will consider exceptional remote candidates as well at approved locations.
Responsibilities
  • Manage an organization of managers, data scientists, and software engineers.
  • Lead the team in delivering an ultra-low latency, high-reliability, massive volume data processing pipeline for data from our FireSat constellation for timely updates to customers around the world.
  • Identify, ensure measurement of, and drive improvement of the right metrics to deliver the performance our customers need from our image processing pipelines.
  • Create long-term technical strategy and roadmaps to drive new capabilities and new products from infrared and visual imagery.
  • Train, teach and model the best principles of software engineering and data science.
  • Communicate clearly and effectively to customers, partner teams and the company as a whole, driving clarity on the team's current and future capabilities.
  • Drive the vision and mission of the team, in harmony with Muon's broader mission and values.
  • Establish operational objectives, policies, procedures and work plans and delegate assignments to the team.
  • Be accountable for the team's successful and predictable delivery against goals and objectives.
Qualifications
  • BS, MS or PhD in Computer Science, Computational Mathematics, Electrical Engineering, Data Science or a related area.
  • 5 years of prior software management experience
  • Experience building and deploying high volume, ultra-low latency data processing pipelines, ideally with computer vision algorithms.
  • Experience with geospatial data engineering principles and tooling.
  • Expert understanding of software engineering processes such as software estimation, DevOps, testing, etc.
  • Excitement about working in a fast-paced, innovation-focused startup environment.
  • Expertise in negotiation and managing technical decision-making.
Nice-to-have Skills
  • Experience writing high-performance data processing in C++ or Python.
  • Expertise with both classical and modern neural-network-based computer vision techniques.
  • Experience delivering imagery products to government organizations.
  • Experience with image processing pipelines from remotely sensed data.
Salary
  • The salary range for this role is $231,000 - $260,000, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process.

About Muon Space
Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world.
Taking Care of Our Team
At Muon salary is only part of our total compensation package. In addition to salary, full-time employees receive equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave.
Our mission embraces the entire planet and we believe our team should too. Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don't check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.
ITAR/EAR Requirements
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.

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