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Full Time Neural Engineer Jobs (NOW HIRING)

Helix AI Engineer, Training Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

They are seeking an experienced Training Infrastructure Engineer to manage the training cluster and ... neural network training • Minimum of 4 years of professional, full-time experience building ...

Helix AI Engineer, Training Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

They are seeking an experienced Training Infrastructure Engineer to manage their training cluster ... neural network training • Minimum of 4 years of professional, full-time experience building ...

Our team consists of scientists and engineers, working closely together to define the engineering ... Investigate and map neural correlates of sensory and internally-generated states. * Build and ...

Track and evaluate emerging research in neural architecture search, machine learning systems and ... Base salary is only one component of total compensation; all full-time, permanent positions are ...

RF Cyber Lab Intern

Pittsburgh, PA · On-site

$14.50 - $19.50/hr

Spiking temporal neural network implementation * Strong programming ability and analytical skills ... Location Pittsburgh, PA Job Function Non-CMU Students Position Type Intern (Fixed Term) Full time ...

Hardware Engineer

Gainesville, FL · On-site

$90K - $180K/yr

Hardware Engineer We're hiring a full-time Hardware Engineer to build and debug mission-critical ... Experience with hardware for neural recordings , especially imec Neuropixels . What we value We ...

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Showing results 1-20

Full Time Neural Engineer information

See salary details

$59.5K

$111.6K

$203K

How much do full time neural engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for full time neural engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Neural Engineer vs Machine Learning Engineer?

AspectFull Time Neural EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in Neuroscience, Computer Science, or related fields; experience with neural dataBachelor's or Master's in Computer Science, Data Science, or related fields; strong programming skills
Work EnvironmentResearch labs, healthcare, biotech companies focusing on neural data and brain-computer interfacesTech companies, startups, research institutions working on algorithms and data modeling
Employer & Industry UsageNeuroscience, biotech, healthcareTechnology, finance, e-commerce, research

Full Time Neural Engineers focus on developing and analyzing neural data, often working in healthcare and biotech settings. Machine Learning Engineers design algorithms for data-driven applications across various industries. While both roles require programming skills, Neural Engineers specialize in neural systems, whereas Machine Learning Engineers work broadly on AI models.

More about Full Time Neural Engineer jobs
What are the most commonly searched types of Neural Engineer jobs? The most popular types of Neural Engineer jobs are:
What job categories do people searching Full Time Neural Engineer jobs look for? The top searched job categories for Full Time Neural Engineer jobs are:
Infographic showing various Full Time Neural Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.
Senior Software Engineer (Geometry Processing)

Senior Software Engineer (Geometry Processing)

Freeform

Los Angeles, CA

$132K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

SENIOR SOFTWARE ENGINEER (GEOMETRY PROCESSING)

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

Metal 3D printing at production scale is one of the hardest unsolved problems in manufacturing, and geometry processing sits at the center of it. At Freeform, the geometry pipeline is not a preprocessor that hands off to a printer, but the intelligence that drives the entire machine. Our stack spans GPU-accelerated mesh processing, physics-informed simulation, real-time toolpath generation, and closed-loop geometric feedback during the print itself. NVIDIA invested in Freeform because of it.

In this role, you will own core systems at the intersection of 3D geometry and real-time GPU compute. If you have spent your career making geometry fast and correct, whether in game engines, real-time rendering, visual effects, or simulation, the underlying structure of the problems will feel familiar. What will not feel familiar is the stakes: your geometry runs on machines building real parts out of metal, at a factory-scale that's never been done before. You will work across the full stack, from mathematical geometry representations to the GPU kernels that transform them, alongside engineers who bring the same depth of thinking to every problem.

We look for engineers who have gone deep on hard geometry problems and are ready to do that work where the output is physical.

Responsibilities:

  • Develop GPU-accelerated algorithms for mesh deformation, procedural geometry generation, parallel spatial queries, and volumetric space-filling operations
  • Collaborate with simulation and hardware engineers to integrate physics-based and sensor models into the GPU compute pipeline
  • Partner with data scientists to integrate neural geometry processing and machine learning models for print quality prediction and in-process optimization
  • Design and develop the end-to-end print preparation pipeline, from CAD ingestion and mesh repair through GPU-parallelized slicing, adaptive toolpath generation, and hardware handoff, for a production-scale metal 3D printing system
  • Work with backend software engineers to architect the interface between the geometry processing stack and the metal 3D printing hardware layer
  • Build production automation solutions across the geometry processing pipeline, including automated defect detection and in-process geometry correction
  • Develop integrations with third-party CAD and CAM software APIs, with a focus on robust and maintainable interchange pipelines
  • Write production-quality C++ across the geometry stack: performant, well-tested, and built to last in a real manufacturing environment
  • Generate and maintain documentation of designed software and integrated systems

Basic Qualifications:

  • Bachelor's degree in computer science, computer engineering, applied mathematics, or similar AND 5+ years of software development experience, OR Master's degree in aforementioned fields with 2+ years of experience, OR PhD in aforementioned fields
  • Proficiency with C++
  • Experience using GPUs for geometry processing

Preferred Skills and Experience:

  • MS or PhD in computer science, computational geometry, applied mathematics, or related field highly preferred
  • Familiarity with neural geometry processing or learned representations (e.g. neural fields, point cloud networks, diffusion-based mesh generation)
  • Experience interfacing with CAD and CAM software APIs (understanding of CAD import)
  • Experience working with Signed Distance Field (SDF) representations of geometry
  • Experience with spatial data structures and GPU-friendly geometry representations (e.g. BVHs, octrees, tetrahedral meshes, volumetric grids)
  • Experience with cloud-based geometry processing or distributed compute workloads

Location:

  • Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.
  • Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

Why Freeform?

  • We are building technology that did not exist five years ago and will define how metal parts are made for the next fifty. The geometry team is at the center of that, and this role is a chance to do the most consequential geometry processing work of your career.
  • We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
  • Benefits
    • Significant stock option packages
    • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
    • Life insurance
    • Traditional and Roth 401(k)
    • Relocation assistance provided
    • Paid vacation, sick leave, and company holidays
    • Generous Paid Parental Leave and extended transition back to work for the birthing parent
    • Free daily catered lunch and dinner, and fully stocked kitchenette
    • Casual dress, flexible work hours, and regular catered team building events
  • Compensation
    • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role.
    • In addition to the significant stock option package, the estimated salary range for this role is $135,000-$250,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
  • Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.