ML Research Engineer Jobs in Fort Worth, TX
ML Research Engineer jobs in Fort Worth, Texas are open across the metro, with employers like Lockheed Martin, American Airlines, and GM Financial hiring at every experience level. Find a role that fits below and apply directly.
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Showing 5 of 11+ ML Research Engineer jobs
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 mission of the Application Engine Team is to provide a robust, efficient, and flexible platform for integrating and managing various deep learning models and processes in the context of L4 autonomous trucking. It aims to streamline development workflows, enhance team efficiency, and ensure consistent performance and safety standards. The Application Engine focuses on facilitating the creation of scalable, reproducible, and safety-compliant components, enabling feature teams to efficiently develop and deploy advanced autonomous driving features.
What You’ll Do
- Development of a processing pipeline SDK capable of spanning multiple distributed System on a Chips using Ethernet, PCIe, and similar to move data through different processing stages.
- Optimization of concurrent usage of resources (Memory, GPU) for parallel execution of trained models on a single System on a Chip.
- Development of a runtime environment, which uses the App Engine SDK to deploy machine learning based virtual driver applications.
- SDK Feature development to support the creation of Virtual Driver Software.
- Support Virtual Driver Division with their usage of the Application Engine.
- Creation of high-quality code including test case development.
What You’ll Need To Succeed
- Bachelor’s degree in Computer Engineering, Electrical Engineering, or Software Engineering, Computer Science or advanced degree with 5+ years experience.
- Experience with Embedded Software Development, especially with a focus on GPUs.
- Experience with TensorRT and CUDA.
- Experience in the development of real-time distributed systems.
- Profound knowledge of C++.
- Familiarity with machine learning technologies (e.g. PyTorch).
- Experience with Linux.
Bonus Points
- Experience developing SDK’s for complex embedded systems, especially those featuring GPUs or multiple SOCs.
- Experience in autonomous robotic or vehicle systems.
- Knowledge of computer architecture principles such as pipelining, memory hierarchy, locality, etc.
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 match.
- Flexibility in schedule and generous paid vacation (available immediately after start date).
- 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: 102680
Hiring Range for Job Opening
US Pay Range $153,200—$183,800 USD
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 mission of the Application Engine Team is to provide a robust, efficient, and flexible platform for integrating and managing various deep learning models and processes in the context of L4 autonomous trucking. It aims to streamline development workflows, enhance team efficiency, and ensure consistent performance and safety standards. The Application Engine focuses on facilitating the creation of scalable, reproducible, and safety-compliant components, enabling feature teams to efficiently develop and deploy advanced autonomous driving features.
What You’ll Do
- Development of a processing pipeline SDK capable of spanning multiple distributed System on a Chips using Ethernet, PCIe, and similar to move data through different processing stages.
- Optimization of concurrent usage of resources (Memory, GPU) for parallel execution of trained models on a single System on a Chip.
- Development of a runtime environment, which uses the App Engine SDK to deploy machine learning based virtual driver applications.
- SDK Feature development to support the creation of Virtual Driver Software.
- Support Virtual Driver Division with their usage of the Application Engine.
- Creation of high-quality code including test case development.
What You’ll Need To Succeed
- Bachelor’s degree in Computer Engineering, Electrical Engineering, or Software Engineering, Computer Science or advanced degree with 5+ years experience.
- Experience with Embedded Software Development, especially with a focus on GPUs.
- Experience with TensorRT and CUDA.
- Experience in the development of real-time distributed systems.
- Profound knowledge of C++.
- Familiarity with machine learning technologies (e.g. PyTorch).
- Experience with Linux.
Bonus Points
- Experience developing SDK’s for complex embedded systems, especially those featuring GPUs or multiple SOCs.
- Experience in autonomous robotic or vehicle systems.
- Knowledge of computer architecture principles such as pipelining, memory hierarchy, locality, etc.
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 match.
- Flexibility in schedule and generous paid vacation (available immediately after start date).
- 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: 102680
Hiring Range for Job Opening
US Pay Range $153,200—$183,800 USD
See All 11 ML Research Engineer Jobs in Fort Worth
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Find ML Research Engineer JobsML Research Engineer Job Market in Fort Worth
Who's Hiring
- Lockheed Martin6
- American Airlines2
- GM Financial1
- Torc Robotics1
Top Industries Hiring
- Airlines2
- Banking & Financial Services1
- Consulting & Professional Services1
ML Research Engineer Jobs in Fort Worth: Frequently Asked Questions
How many ML research engineer jobs are there in Fort Worth?
There are 11+ ML research engineer openings in Fort Worth, Texas on Migrate Mate as of June 2026. New positions post regularly as Fort Worth employers hire.
Which companies hire ML research engineers in Fort Worth?
Employers hiring ML research engineers in Fort Worth include Lockheed Martin, American Airlines, and GM Financial, based on current listings on Migrate Mate as of June 2026.
Are there remote ML research engineer jobs in Fort Worth?
Yes. About 40% of ML research engineer openings tied to Fort Worth are remote or hybrid as of June 2026. The rest are on-site roles based in and around Fort Worth.
Which industries hire the most ML research engineers in Fort Worth?
Most ML research engineer openings in Fort Worth sit in Airlines, Banking & Financial Services, and Consulting & Professional Services, per current listings on Migrate Mate as of June 2026.
See All 11 ML Research Engineer Jobs in Fort Worth
Find roles in Fort Worth that match your experience and apply in just a few clicks.
Find ML Research Engineer Jobs