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Cuda Programming Jobs in Michigan (NOW HIRING)

Pentangle Tech

Software Engineers

Southfield, MI · On-site

Programming on GPUs with CUDA and/or OpenCL * C++ programming experience * Experience in creating robust and efficient system architectures and complex hardware-software systems * Experience ...

General Motors

Senior ML Compiler Engineer

Warren, MI · On-site

$98K - $134K/yr

GPU programming (CUDA) and familiarity with ML SW stack (e.g.,cuDNN,cuBLAS) * Experience with ML accelerators and hardware architecture * Experience developing and deploying machine learning models ...

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283K - $381K/yr

C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices. * Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the ...

KLA

HPC Systems Engineer

Ann Arbor, MI · On-site

... CUDA, drivers, GPU scheduling concepts) • Familiarity with parallel computing or scientific/engineering workloads • Experience with cluster storage systems (e.g., Lustre, BeeGFS, NFS, or ...

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How much do cuda programming jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for cuda programming in Michigan is $47.38, according to ZipRecruiter salary data. Most workers in this role earn between $38.37 and $55.29 per hour, depending on experience, location, and employer.

What is the salary of NVIDIA CUDA developer?

The salary of an NVIDIA CUDA developer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Skilled CUDA programmers with advanced knowledge of parallel computing and GPU architecture tend to earn higher salaries.

What jobs use CUDA?

Jobs that use CUDA include roles such as GPU programmer, software developer, data scientist, and machine learning engineer, especially in fields like high-performance computing, artificial intelligence, and scientific research. These roles often require knowledge of parallel programming, C++, and GPU architecture, and involve developing or optimizing software to run efficiently on NVIDIA GPUs.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing use of GPU computing in fields like artificial intelligence, scientific research, and data processing. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued, and job opportunities are expected to increase as these technologies expand across industries.

How much do CUDA engineers make?

CUDA engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in parallel programming and GPU optimization can command higher salaries, especially in tech hubs or companies with advanced AI and high-performance computing needs.

What is the difference between Cuda Programming vs GPU Developer?

AspectCuda ProgrammingGPU Developer
Required CredentialsKnowledge of CUDA, C/C++, parallel computingKnowledge of GPU architecture, CUDA, OpenCL, C/C++
Work EnvironmentHigh-performance computing, scientific research, AIGraphics, gaming, scientific visualization, AI
Industry UsageTech companies, research labs, AI firmsGaming, entertainment, tech, research

While Cuda Programming focuses specifically on writing code using NVIDIA's CUDA platform for parallel processing, GPU Developers have a broader role that includes designing, optimizing, and implementing GPU-based solutions across various platforms and technologies. Both roles require knowledge of GPU architecture and programming languages like C/C++, but GPU Developers often work on a wider range of applications beyond CUDA-specific projects.

What are popular job titles related to Cuda Programming jobs in Michigan? For Cuda Programming jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Cuda Programming jobs in Michigan look for? The top searched job categories for Cuda Programming jobs in Michigan are:
What cities in Michigan are hiring for Cuda Programming jobs? Cities in Michigan with the most Cuda Programming job openings:
Cuda Programming jobs near you
Manager, Engineering - App Engine (CUDA)

Manager, Engineering - App Engine (CUDA)

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
The Application Engine team builds the middleware platform that powers the next generation of Torc's Level 4 autonomous trucking stack. Our mission is to provide a robust, efficient, and flexible environment for integrating and managing diverse deep learning models and processes. We enable scalable development workflows, consistent performance, and safety-compliant deployments across real-world and simulated environments. By owning the core application layer, the App Engine team provides the scaffolding that allows feature teams to efficiently develop, integrate, and deploy advanced autonomous driving capabilities. We partner closely with Perception, Planning, Systems, Validation, Hardware, and Safety to ensure reliability, determinism, and scalability in production.
About the Role
We are seeking a technically strong and people-focused Engineering Manager to lead our App Engine team. While this is not a hands-on coding role, deep technical expertise in GPU parallel computing, CUDA, and model deployment is essential. You will drive technical direction, prioritize execution, and grow a high-performing team responsible for building production-grade middleware. This role sits at the intersection of software engineering, ML frameworks, GPU optimization, and safety-critical integration. Success requires both the ability to lead and coach engineers, and the technical depth to guide design decisions and challenge assumptions.
What You'll Do
  • Lead and grow a team building the application framework that integrates deep learning models into Torc's autonomy stack.
  • Drive technical execution across key focus areas: CUDA optimization, GPU resource management, model conversion pipelines (PyTorch, TensorRT, ONNX), and real-time system integration.
  • Ensure reliability, determinism, and scalability across multi-sensor autonomous driving workloads.
  • Partner with cross-functional teams (Perception, Planning, Systems, Validation, Hardware, Safety) to align technical direction and integration priorities.
  • Mentor, coach, and develop engineers while cultivating a collaborative, high-trust team culture.
  • Manage execution and delivery, balancing near-term goals with long-term architectural vision.
  • Establish scalable processes for development, testing, and integration in a safety-critical environment.

What You'll Need to Succeed
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Robotics, or a related technical field.
  • 3+ years of full-cycle people management experience.
  • Deep technical expertise with CUDA, GPU parallel computing, and inference optimization.
  • Strong proficiency in C++ and Linux-based development with knowledge of real-time systems.
  • Experience with ML frameworks (PyTorch, TensorRT, ONNX) and model deployment pipelines.
  • Proven leadership managing software engineering teams in complex, cross-functional environments.
  • Strong understanding of system-level integration and safety-critical requirements.
  • Ability to thrive in a fast-paced, dynamic, and highly collaborative environment.

Bonus Points
  • Hands-on leadership style - comfortable diving into technical discussions and design reviews.
  • Experience building or managing application/middleware frameworks for production AV or ADAS systems.
  • Familiarity with ISO 26262, ASPICE, or other regulated safety standards.
  • Background in distributed systems, high-performance computing, or large-scale data recording pipelines.

Work Location: For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.
Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102810
Hiring Range for Job Opening
US Pay Range
$160,800-$193,000 USD

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