ZipRecruiter

Log In

1

Neural Network Engineer Jobs (NOW HIRING)

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124.40K - $171.50K/yr

Required : • Strong understanding of fundamental machine learning algorithms and neural network ... Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX

$124.40K - $171.50K/yr

Senior: 4+ years of experience developing neural network-based algorithms, including data ... engineering practices beyond your immediate team. * Principal: 10+ years of experience, with ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124.40K - $171.50K/yr

Senior: 4+ years of experience developing neural network-based algorithms, including data ... engineering practices beyond your immediate team. * Principal: 10+ years of experience, with ...

Avride

Machine Learning Engineer

Austin, TX · On-site

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 ...

next page

Showing results 1-20

People also search for

All JobsNeural Network Engineer Jobs

Neural Network Engineer information

See salary details

$31K

$109K

$158K

How much do neural network engineer jobs pay per year?

As of May 29, 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.
More about Neural Network Engineer jobs
What cities are hiring for Neural Network Engineer jobs? Cities with the most Neural Network Engineer job openings:
What are the most commonly searched types of Neural Network Engineer jobs? The most popular types of Neural Network Engineer jobs are:
What states have the most Neural Network Engineer jobs? States with the most job openings for Neural Network Engineer jobs include:
What job categories do people searching Neural Network Engineer jobs look for? The top searched job categories for Neural Network Engineer jobs are:
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.
Senior Research Engineer, Simulation

Senior Research Engineer, Simulation

Nvidia

Santa Clara, CA

Full-time

Posted 2 days ago

Job description

NVIDIA is searching for a senior or principal engineer who specializes in physics simulation in the Generalist Embodied Agent Research (GEAR) group. Our team is leading Project GR00T, NVIDIA's moonshot initiative at building foundation models and full-stack technology for humanoid robots.

You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physical simulation. Our past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. Your contributions will have a significant impact on our research projects and product roadmaps.

What you will be doing:

  • Develop and maintain simulation environments built on frameworks like MuJoCo, and Isaac Lab to support robotics research.

  • Implement and test control algorithms and XR teleoperation interfaces for simulated robots.

  • Build procedural generation pipelines for diverse environments, object layouts, and robot motions.

  • Optimize GPU-based physics simulator performance for large-scale training workloads.

  • Import, configure, and validate robot assets in USD format, ensuring successful sim2real transfer.

  • Implement Sim2Real pipelines and deploy learned models to physical robots.

What we need to see:

  • Bachelor's degree or above in Computer Science, Robotics, Engineering, or a related field;

  • 10+ years of full-time industry experience on robotics and/or physics simulation;

  • Proven experience with one or more physics simulators such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo.

  • Deep knowledge of state-of-the-art simulation techniques, such as accurate contact dynamics for manipulation and locomotion, and photorealistic rendering for perception.

  • Expertise in generating simulation assets, task definitions, and building Gym-style APIs to support neural network training.

Ways to stand out from the crowd:

  • Master's or PhD's degree in Computer Science, Robotics, Engineering, or a related field;

  • Experience at autonomous driving or humanoid robotics companies on physics simulation;

  • Hands-on experience with deploying and debugging neural network models on robotic hardware;

  • Expertise at reinforcement learning and neural network training;

  • Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment;

  • Contributions to popular open-source simulation frameworks or research publications in top-tier conferences, such as ICRA, IROS, RSS, CoRL.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and large-scale foundation models!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 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.
Nvidia logo

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

Year founded

1993

View All Nvidia Jobs

Apply