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Deep Learning Software Engineer Jobs (NOW HIRING)

Targeted Talent

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

As part of our group, you'll collaborate with hardware and software engineers to design, develop ... We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA

Deep Learning Engineer As a Deep Learning Engineer at Carbon Robotics, you will contribute to ... Hands-on experience working across the software stack, including sensor integration and web ...

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Deep Learning Software Engineer information

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$63.5K

$147.5K

$205.5K

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

As of Jun 26, 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.

Which 5 jobs will survive AI?

Deep Learning Software Engineers are likely to continue to be in demand as AI advances because they develop and improve AI models, requiring specialized skills in programming, mathematics, and data analysis. Jobs that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled trades, and roles in management—are also expected to persist alongside AI automation. Continuous learning and adapting to new tools and techniques will be essential for these roles to remain relevant.

Is ML a high paying job?

Machine Learning (ML) roles, including Deep Learning Software Engineers, are generally well-paid due to high demand for specialized skills in algorithms, data modeling, and programming languages like Python and TensorFlow. Salaries often vary based on experience, location, and industry, but these positions tend to offer above-average compensation compared to many other tech roles.

What engineers make $500,000?

Senior engineers in specialized fields such as software, data engineering, or machine learning can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles like senior software engineers, machine learning engineers, and AI specialists often reach this level with bonuses and stock options included.

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.

Are deep learning engineers in demand?

Deep learning engineers are in high demand due to the growth of artificial intelligence applications across industries such as healthcare, finance, and technology. They typically require skills in neural networks, programming languages like Python, and frameworks such as TensorFlow or PyTorch, making their expertise highly sought after in the job market.
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 June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Senior System Software Engineer - Dynamo-Triton Inference Server

Senior System Software Engineer - Dynamo-Triton Inference Server

Nvidia

Seattle, WA

$139K - $183K/yr

Full-time

Posted 14 days ago

Job description

We are looking for a Senior System Software Engineer to work on Dynamo-Triton Inference Server. NVIDIA is hiring software engineers for its GPU-accelerated deep learning software team. Academic and commercial groups around the world are using GPUs to power a revolution in AI, enabling breakthroughs in problems from image classification to speech recognition to natural language processing. We are a fast-paced team building a highly-performant AI inference platform to make design and deployment of new AI models easier and accessible to all users.

What you'll be doing:

  • Develop world-class GPU-accelerated AI inference serving software.

  • Contribute to feature development and drive broad customer adoption.

  • Drive the convergence of the Triton Inference Server and NVIDIA Dynamo stacks to establish a unified, high-performance inference platform. This platform will ensure feature parity and effectively serve both Large Language Model (LLM) and non-LLM workloads.

  • Be an active member of the open source deep learning software engineering community.

  • Balance a variety of objectives such as building robust software designed to be deployed in production server or cloud environments, optimizing and balancing prediction throughput and latency, and developing and adopting the next generation of inference technologies.

What we need to see:

  • MS or PhD in Computer Science or relevant field (or equivalent experience).

  • 5+ years of professional experience working on deep learning software.

  • Excellent Rust & C++ skills, familiarity with Python, and strong programming & software design skills including debugging, performance analysis, and test design.

  • Experience with high-scale distributed systems and ML systems.

  • Strong communication skills and ability to work in a fast-paced, agile team environment.

Ways to stand out from the crowd:

  • Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM.

  • Knowledge of GPU memory management, cache management, or high-performance networking.

  • Experience with distributed systems programming.

  • Experience in contributing to a large open source project: use of GitHub, bug tracking, branching and merging code, OSS licensing issues handling patches, etc.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 1, 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.
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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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