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Deep Learning Hardware Engineer Jobs (NOW HIRING)

dontwt.ai

DEEP LEARNING ENGINEER

Windham, ME · On-site

We are seeking a talented and driven Deep Learning Engineer to join our team and play a critical role in developing and deploying sophisticated AI solutions for our clients. LOCATION New England ...

Brahma Consulting Group

Head of Hardware

Palo Alto, CA

$145K - $191K/yr

... engineers learning hardware design. * Establish Validation Frameworks: Develop and implement ... Deep expertise in RTL design (Verilog/SystemVerilog), synthesis, and verification methodologies ...

Nvidia

Senior Deep Learning Compiler Engineer

OR · On-site +1

$104K - $143K/yr

NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ... Collaborating with members of the deep learning software framework teams and the hardware ...

Quidient

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

Overview We are seeking a Staff Deep Learning Research Engineer to design, build, and train novel neural network architectures that solve hard problems across Quidient's GSR platform. This is not an ...

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 ... Collaborating with members of the deep learning software framework teams and the hardware ...

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 ... Collaborating with members of the deep learning software framework teams and the hardware ...

Matroid

Deep Learning Field Engineer

Palo Alto, CA · On-site

$150K - $300K/yr

We're looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in ... A budget for whatever hardware or software will make you most effective. * Resources to learn about ...

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Deep Learning Hardware Engineer information

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$51K

$146.2K

$196.5K

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

As of Sep 13, 2026, the average yearly pay for deep learning hardware engineer in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.

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For Deep Learning Hardware Engineer jobs, the most frequently searched job titles are:

DEEP LEARNING ENGINEER

Windham, ME • On-site

dontwt.ai
See more jobs at dontwt.aiexternal

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Posted 12 days ago

Job description

We are seeking a talented and driven Deep Learning Engineer to join our team and play a critical role in developing and deploying sophisticated AI solutions for our clients.

LOCATION

New England

EMPLOYMENT TYPE

Permanent or Contract

What You’ll Do

Design, train, and optimize deep neural networks using frameworks like TensorFlow or PyTorch to solve complex real-world problems.

Develop and maintain robust data pipelines for large-scale datasets, ensuring data quality and efficient model training.

Collaborate closely with data scientists to deploy models into production environments, integrating them seamlessly with existing client workflows.

Monitor model performance, identify areas for improvement, and implement strategies to enhance accuracy and scalability.

Research and implement state-of-the-art deep learning techniques, staying on the forefront of advancements in computer vision or natural language processing.

Contribute to the development of internal tools and libraries to streamline deep learning workflows and accelerate model deployment.

You’re not satisfied with simply finding an answer – you want to understand why it works. A genuine curiosity about data, algorithms, and the underlying principles of machine learning is essential, along with a proactive desire to continuously expand your knowledge.

You approach challenges with a methodical mindset, breaking down complex problems into manageable components and leveraging your analytical abilities to identify creative solutions. You’re resourceful, able to find information independently, and aren't afraid to experiment.

You can clearly articulate technical concepts to both technical and non-technical audiences, fostering understanding and collaboration across teams. You’re a team player who actively shares knowledge and welcomes diverse perspectives.

Who You are

The AI landscape is constantly evolving, and projects often encounter unexpected hurdles. We’re looking for individuals who are adaptable, embrace change, and maintain a positive attitude in the face of challenges.

You take pride in your work and are committed to delivering high-quality results. You’re proactive, self-motivated, and take ownership of your projects from inception to completion as you are driven by a desire to see solutions succeed.

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