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Neural Network Engineer Jobs (NOW HIRING)

Epsilon Systems Solutions

$121.80K - $167.20K/yr

Artificial neural network training * Programming: Python, C++, MATLAB, Go, PyTorch, TensorFlow, Keras * Image processing * Building graph databases * Building PostgreSQL databases with vector store ...

Polaris Inc.

Systems Engineer

Huntsville, AL · On-site

The Systems Engineer will support the development and enhancement of neural network-based vision systems, collaborating with various teams to ensure reliable and scalable solutions in a manufacturing ...

New

femtoAI

Hardware Engineer

San Bruno, CA · On-site

$147.50K - $194.70K/yr

As a Hardware Engineer, you will join femtoAI's hardware team to help design and build our novel neural network accelerator. Working in a small, highly collaborative group, you will contribute ...

Avride

Machine Learning Engineer

Austin, TX

About the Role We are looking for an experienced Machine Learning Engineer with a strong background ... At least three years of experience developing neural network-based algorithms, including data ...

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How much do neural network engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for neural network engineer in the United States is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.

What does a Neural Network Engineer do?

A Neural Network Engineer designs, develops, and optimizes machine learning models, particularly artificial neural networks, to solve complex problems. They work with deep learning frameworks like TensorFlow and PyTorch, train and fine-tune models, and optimize them for performance and efficiency. Their role often involves preprocessing data, selecting appropriate architectures, and deploying models in real-world applications such as computer vision, natural language processing, or autonomous systems.

What are the key skills and qualifications needed to thrive in the Neural Network Engineer position, and why are they important?

To thrive as a Neural Network Engineer, you need a strong background in machine learning, deep learning frameworks (such as TensorFlow or PyTorch), and proficiency in programming languages like Python or C++. Experience with GPU computing, cloud-based machine learning platforms, and relevant certifications (e.g., TensorFlow Developer Certificate) is often valuable. Strong problem-solving skills, teamwork, and effective communication help you excel when collaborating on complex AI models and projects. These abilities are essential for designing effective neural networks, integrating them into products, and driving innovation in real-world applications.

What are the common daily responsibilities of a Neural Network Engineer?

On a typical day, a Neural Network Engineer may design and test deep learning model architectures, preprocess data, write and optimize code, and analyze performance results. Collaborating closely with data scientists, software engineers, and product managers is common to align model development with business objectives. Engineers often participate in code reviews, debugging sessions, and contribute to technical documentation. Staying current with the latest research and integrating new approaches is also part of the role, ensuring that solutions are both cutting-edge and practical for deployment.
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What cities are hiring for Neural Network Engineer jobs? Cities with the most Neural Network Engineer job openings:
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Neural Network Engineer jobs near you
Infographic showing various Neural Network Engineer job openings in the United States as of May 2026, with employment types broken down into 7% Internship, 79% Full Time, and 14% Part Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $109,040 per year, or $52.4 per hour.
Software Engineer Intern - Compiler

Software Engineer Intern - Compiler

quadric, Inc

Burlingame, CA • On-site

$45 - $60/hr

Temporary

Posted 2 days ago

Job description

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
The Role
As a Software Engineer Intern - Compiler, you will work closely with our senior compiler engineers on CGC, Quadric's neural network compiler that lowers to code targeting the Chimera GPNPU. You will dig into real compiler passes - layout selection, memory allocation, operator splitting, code generation - and see your changes flow end-to-end into the C++ that runs on Quadric silicon. This is a hands-on role where you will gain experience designing IR transformations, debugging generated code, and improving how efficiently neural networks map to hardware.
Note: Our preference is for this internship to be based out of our Burlingame, California office. Candidates should be based in the Bay Area or able to relocate for the internship period and available to work on site.
Responsibilities
  • Develop & Implement: Help build and extend compiler passes that lower neural network IR to GPNPU-targeted code.
  • Analyze & Debug: Diagnose compilation issues by tracing problems from generated C++ back through the pipeline. Use IR dumps and static analyses to investigate compilation failures and performance regressions.
  • Code Optimization: Work alongside senior engineers to improve compiler decisions to reduce data movement and increase core utilization. -
  • Collaborate: Partner with the kernel, hardware, and data science teams to align compiler features with real model requirements and hardware constraints.
  • Toolchain Contribution: Contribute to test infrastructure, debugging utilities, and developer ergonomics across the CGC pipeline and runtime.

Requirements
Must-Haves:
  • Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related field.
  • Strong proficiency in Python and C++.
  • Foundational understanding of compiler concepts: intermediate representations, dataflow analysis, and transformation passes.
  • Comfort reading and reasoning about large, unfamiliar codebases.
  • Demonstrated capability in problem-solving, debugging, and clear technical communication.

Nice-to-Haves (Preferred Qualifications):
  • Coursework or project experience with compilers, program analysis, or domain-specific languages.
  • Exposure to ML compiler frameworks such as TVM, MLIR, XLA, Glow, or IREE.
  • Familiarity with neural network quantization, fixed-point arithmetic, or numerical analysis.
  • Experience with hardware-aware code generation for accelerators (GPU, DSP, NPU).
  • Some exposure to assembly or low-level code generation.
  • Previous internship experience in compilers, ML systems, or performance engineering.

Benefits
At Quadric, we value Integrity, Humility, and Happiness. What we expect from one another is simple and clear: Initiative, Collaboration, and Completion. We are a collaborative team focused on building something extraordinary in the edge computing space.
The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual rate offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience and education, technical skills and competencies, and work location.
Quadric interns receive hands-on experience working alongside industry experts in AI and semiconductor technology, with access to mentorship and meaningful project ownership from day one.
Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world's first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow's technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.
Quadric is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where people from all backgrounds can do their best work. We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
If this role resonates with you, we encourage you to apply even if your experience does not perfectly match every qualification. We value potential, curiosity, and a willingness to learn just as much as direct experience. Skills and growth come in many forms, and we would love to hear your story.
By submitting an application, you acknowledge that Quadric will collect and process your personal information as part of the hiring process. Please review our Privacy Policy to understand how we handle your data.
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About Quadric.io

Sourced by ZipRecruiter

Industry

Semiconductor and electronic component manufacturing

Company size

11 - 50 Employees

Headquarters location

Burlingame, CA, US

Year founded

2016

Social media

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