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Director Neural Engineering Jobs (NOW HIRING)

Epia Neuro

Staff Software Engineer

Alameda, CA · On-site

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

Targeted Talent

Compiler Tech Lead

Dallas, TX

$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

Targeted Talent

Compiler Tech Lead

Seattle, WA

$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 · Remote

$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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Director Neural Engineering information

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$73K

$194.7K

$254K

How much do director neural engineering jobs pay per year?

As of Aug 15, 2026, the average yearly pay for director neural engineering in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

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.
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Director Neural Engineering jobs near you
Infographic showing various Director Neural Engineering job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.

Director of Engineering for ML hardware design & Architecture

Qualcomm

San Diego, CA • On-site

Full-time

Re-posted 13 hours ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

49th of 244 rated software companies

Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Video Systems, HW Architecture
General Summary:
The Machine Learning Hardware Accelerator team is seeking an experienced and talented Hardware Design & Architecture Lead. This role will drive the definition and analysis of next-generation ML hardware accelerator architectures, with a special emphasis on vision applications for mobile and emerging products.
Key Responsibilities
  • Architect high-performance, power-efficient ML hardware accelerator designs, especially for computer vision workloads (e.g., image classification, object detection, video analytics).
  • Analyze and optimize hardware for performance, power, and area (PPA) tradeoffs.
  • Define hardware micro-architecture for efficient implementation of ML algorithms.
  • Lead HW IP development, working closely with RTL design, verification, synthesis and physical design teams to improve PPA.
  • Collaborate closely with global hardware, software, and systems teams to deliver best-in-class ML solutions.
  • Work with cross-functional teams (HW design, verification, SW, systems, marketing, product planning) to align architecture with product goals.
  • Use models, simulators, profilers, and real hardware to justify architectural decisions quantitatively.
  • Apply knowledge of CPUs, GPUs, DSPs, memory, and bandwidth analysis to ML hardware design.
  • Communicate results and technical issues effectively with leads and peers.
  • Invent and file patents for innovative hardware solutions.

Minimum Qualifications
  • Experience in hardware development for ML, multimedia, or accelerator technologies (vision, imaging, video, display, audio, etc.).
  • Experience in system or chipset development for SoC products, preferably in the mobile market.
  • Familiarity with OS principles and HW/SW interaction.
  • Experience with SoC bus, interconnect, and memory technologies.
  • MS Degree required with 15+ years industry experience in one or more of the following areas:
    • Architecture/micro-architecture of ML or multimedia cores.
    • Experience with ML frameworks and accelerator standards (e.g., TensorFlow Lite, ONNX).
    • VLSI design and verification (Verilog/SystemVerilog/HLS).
    • C/C++/SystemC programming.
    • Hands-on experience with simulators and performance/power models.
    • Scripting & automation skills.

Preferred Qualifications
  • Deep domain knowledge in ML for vision (image/video processing, neural network architectures for vision).
  • Experience collaborating with global teams across multiple time zones and cultures.
  • Experience working with synthesis and physical design teams for HW IP development and PPA improvement.
  • Excellent communication, documentation, and presentation skills.
  • Demonstrated technical and people leadership.

Minimum Qualifications:
• Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 8+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 7+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer or Electrical Engineering, Computer Science, or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$228,400.00 - $342,600.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

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Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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