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Cuda Programmer 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

You'lljoin a group ofdeepcompiler, systems, and GPU engineerswho enjoyworking onhard problems,anddiving into MLIR/ONNXand CUDA/TensorRTinternals. We value clear thinking, strong engineering ...

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 programmer jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for cuda programmer in Michigan is $34.46, according to ZipRecruiter salary data. Most workers in this role earn between $22.40 and $44.86 per hour, depending on experience, location, and employer.

What are the most common challenges faced by Cuda Programmers in their daily work?

Cuda Programmers often encounter challenges related to optimizing code performance and efficiently managing memory on GPU architectures. Debugging and profiling can be complex, as issues may arise from both the code and hardware-specific elements, requiring close attention to parallelization and bottlenecks. Collaboration is key, as you’ll typically work closely with software engineers, data scientists, or researchers to integrate and optimize code for specialized workflows. Successfully navigating these challenges helps drive significant performance improvements and innovation in high-performance computing applications.

What are the key skills and qualifications needed to thrive in the Cuda Programmer position, and why are they important?

To thrive as a Cuda Programmer, you need strong programming skills in C/C++ and parallel computing, with a solid understanding of GPU architectures and CUDA development. Familiarity with CUDA libraries, performance profiling tools, and platforms like NVIDIA Nsight or Visual Studio is often required, while certifications from NVIDIA can be advantageous. Problem-solving abilities, attention to detail, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can optimize complex algorithms, work efficiently on high-performance computing projects, and collaborate smoothly with multidisciplinary teams.

What is a CUDA Programmer job?

A CUDA Programmer develops high-performance parallel computing applications using NVIDIA's CUDA (Compute Unified Device Architecture) framework. They optimize algorithms to run efficiently on GPUs, accelerating tasks such as machine learning, scientific simulations, and real-time data processing. This role requires proficiency in C/C++, an understanding of GPU architectures, and experience with parallel computing concepts to maximize performance.

What are the most commonly searched types of Cuda Programmer jobs in Michigan? The most popular types of Cuda Programmer jobs in Michigan are:
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Cuda Programmer jobs near you
Infographic showing various Cuda Programmer job openings in Michigan as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $71,675 per year, or $34.5 per hour.
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 13 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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