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Deep Learning Software Engineer Jobs (NOW HIRING)

Nvidia

Senior Deep Learning Software Engineer

Redmond, WA · Hybrid

$137K - $180K/yr

We are looking for a Senior Deep Learning Software Engineer to design and build our automated inference and deployment solution. As part of the team, you will be instrumental in defining a scalable ...

Nvidia

Senior Deep Learning Software Engineer

Santa Clara, CA · Hybrid

$143K - $189K/yr

We are looking for a Senior Deep Learning Software Engineer to design and build our automated inference and deployment solution. As part of the team, you will be instrumental in defining a scalable ...

Nvidia

$122K - $161K/yr

NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that ...

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NVIDIA

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and develop compiler optimization algorithms, collaborating with various teams to enhance deep learning software ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases. You will ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX

$103K - $142K/yr

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling ...

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All JobsDeep Learning Software Engineer Jobs

Deep Learning Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

How much do deep learning software engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for deep learning software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Deep Learning Software Engineer vs Machine Learning Engineer?

AspectDeep Learning Software EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with neural networksBachelor's or Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural networksData-driven teams across various industries, including finance, healthcare, and tech
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionBroader applications including predictive modeling, recommendation systems

Deep Learning Software Engineers specialize in neural networks and AI models, often working on complex AI systems. Machine Learning Engineers have a broader focus on developing and deploying machine learning models across various domains. While overlapping in skills, their roles differ in focus and application areas.

More about Deep Learning Software Engineer jobs
What job categories do people searching Deep Learning Software Engineer jobs look for? The top searched job categories for Deep Learning Software Engineer jobs are:
Deep Learning Software Engineer jobs near you
Infographic showing various Deep Learning Software Engineer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Senior Deep Learning Software Engineer

Senior Deep Learning Software Engineer

Nvidia

Redmond, WA • Hybrid

$137K - $180K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

We are looking for a Senior Deep Learning Software Engineer to design and build our automated inference and deployment solution. As part of the team, you will be instrumental in defining a scalable architecture for DL inference with emphasis on ease-of-use and compute efficiency. Your work will span multiple layers of the DL deployment stack, encompassing developing features in high-level frameworks like PyTorch and JAX, designing and implementing a high-performance execution environment, low-level GPU optimizations and developing custom GPU kernels in CUDA and/or Triton. This is an exceptional opportunity for passionate software engineers straddling the boundaries of research and engineering, with a strong background in both machine learning fundamentals and software architecture & engineering.

What you'll be doing:

  • Play a pivotal role in defining of a modular, scalable platform to seamlessly bridge training and deployment workflows-enabling tight integration of deployment tooling with training frameworks such as Megatron and Nemo

  • Leverage and build upon the torch 2.0 ecosystem (TorchDynamo, torch.export, torch.compile, etc...) to analyze and extract standardized model graph representation from arbitrary torch models for our automated deployment solution.

  • Develop support for inference optimization techniques such as speculative decoding and LoRA.

  • Collaborate with teams across NVIDIA to use performant kernel implementations within the automated deployment solution.

  • Analyze and profile GPU kernel-level performance to identify hardware and software optimization opportunities.

  • Continuously innovate on the inference performance to ensure NVIDIA's inference software solutions (TRT, TRT-LLM, TRT Model Optimizer) can maintain and increase its leadership in the market.

What we need to see:

  • Masters, PhD, or equivalent experience in Computer Science, AI, Applied Math, or related field.

  • 8+ years of relevant work or research experience in Deep Learning.

  • Excellent software design skills, including debugging, performance analysis, and test design.

  • Strong proficiency in Python, PyTorch, and related ML tools.

  • Strong algorithms and programming fundamentals.

  • Good written and verbal communication skills and the ability to work independently and collaboratively in a fast-paced environment.

Ways to stand out from the crowd:

  • Contributions to PyTorch, JAX, or other Machine Learning Frameworks.

  • Knowledge of GPU architecture and compilation stack, and capability of understanding and debugging end-to-end performance.

  • Familiarity with NVIDIA's deep learning SDKs such as TensorRT.

  • Prior experience in writing high-performance GPU kernels for machine learning workloads in frameworks such as CUDA, CUTLASS, or Triton.

Increasingly known as "the AI computing company" and widely considered to be one of the technology world's most desirable employers. Are you creative, motivated, and love a challenge? If so, we want to hear from you! Come, join our model optimization group, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly-growing field.

#LI-Hybrid

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 April 28, 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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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