Machine Learning Engineer, Frontier AI & Robotics
Machine Learning Engineer, Frontier AI & Robotics
Posted on :
15-06-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 129300 - 223600
Vacancy
1 Vacancy
Posted on :
15-06-2025
Job Description
Join the next revolution in robotics at Amazons Frontier AI & Robotics team where youll contribute to breakthrough foundation models run at production scale. As a Software Development Engineer embedded in our science team youll be instrumental in transforming novel research into high-performance production systems. Youll collaborate directly with scientists to optimize large-scale transformer architectures for robotics applications leveraging your expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale.
In this role youll balance deep technical optimization work with strategic input on model architecture decisions ensuring our innovative robotics models are designed with performance in mind from the ground up. Youll leverage NVIDIAs acceleration stack and other compilation techniques to tackle ambitious performance targets working at the intersection of large language models and real-world robotics applications.
Key job responsibilities
- Drive inference optimization strategies for large-scale foundation models using TensorRT CUDA and other NVIDIA tools
- Collaborate closely with scientists to influence model architectures for optimal hardware utilization
- Design and implement efficient compilation pipelines for complex transformer architectures
- Develop comprehensive benchmarking frameworks to measure and optimize model performance
- Build robust monitoring solutions to ensure reliable model serving at scale
- Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers
- Maintain high engineering standards through proper testing documentation and code review practices
A day in the life
- Optimize transformer blocks using custom CUDA kernels and TensorRT optimization techniques
- Partner with scientists to analyze model architectures and propose efficiency improvements
- Implement and benchmark various optimization strategies for large-scale models
- Debug performance bottlenecks using NVIDIA profiling tools
- Participate in technical discussions about new model architectures with the science team
- Design and maintain performance monitoring systems for production deployment
- Prototype new acceleration approaches using emerging compilation frameworks
About the team
At Frontier AI & Robotics were not just advancing robotics were reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazons massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence from multimodal perception using images videos and sensor data to sophisticated manipulation strategies that can handle diverse real-world scenarios. Were building systems that dont just work in the lab but scale to meet the demands of Amazons global operations.
Join us if youre excited about pushing the boundaries of whats possible in robotics working with world-class researchers and seeing your innovations deployed at unprecedented scale.
- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments 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. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
In this role youll balance deep technical optimization work with strategic input on model architecture decisions ensuring our innovative robotics models are designed with performance in mind from the ground up. Youll leverage NVIDIAs acceleration stack and other compilation techniques to tackle ambitious performance targets working at the intersection of large language models and real-world robotics applications.
Key job responsibilities
- Drive inference optimization strategies for large-scale foundation models using TensorRT CUDA and other NVIDIA tools
- Collaborate closely with scientists to influence model architectures for optimal hardware utilization
- Design and implement efficient compilation pipelines for complex transformer architectures
- Develop comprehensive benchmarking frameworks to measure and optimize model performance
- Build robust monitoring solutions to ensure reliable model serving at scale
- Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers
- Maintain high engineering standards through proper testing documentation and code review practices
A day in the life
- Optimize transformer blocks using custom CUDA kernels and TensorRT optimization techniques
- Partner with scientists to analyze model architectures and propose efficiency improvements
- Implement and benchmark various optimization strategies for large-scale models
- Debug performance bottlenecks using NVIDIA profiling tools
- Participate in technical discussions about new model architectures with the science team
- Design and maintain performance monitoring systems for production deployment
- Prototype new acceleration approaches using emerging compilation frameworks
About the team
At Frontier AI & Robotics were not just advancing robotics were reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazons massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence from multimodal perception using images videos and sensor data to sophisticated manipulation strategies that can handle diverse real-world scenarios. Were building systems that dont just work in the lab but scale to meet the demands of Amazons global operations.
Join us if youre excited about pushing the boundaries of whats possible in robotics working with world-class researchers and seeing your innovations deployed at unprecedented scale.
- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments 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. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
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