Stack AV
Senior Staff Software Engineer, ML Acceleration Lead
Stack AV, Pittsburgh, Pennsylvania, us, 15289
About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Team:
The training and deployment team, part of the ML Platform org at Stack AV, is responsible for the platform that helps the AI team to build models, optimize, test, and deploy them on the autonomous vehicles. We are seeking an experienced, visionary, and hands-on technical lead for our ML acceleration team. This role will be responsible for designing the architecture and leading a team to automate the optimization and deployment on complex ML models (including transformer-based models such as VLM models) for all the next-gen AI Autonomous Vehicle applications in the company. The ideal candidate will have a deep understanding of GPUs and optimization, excellent leadership skills, and the ability to drive technical excellence.
Responsibilities:Analyze and profile ML models to identify performance bottlenecks.Use OSS tooling to enhance our platform to enable ML engineers to profile models and optimize them (e.g., through quantization).Automate the process of exporting the model to optimized format (e.g., TensorRT) and deploying them.Implement optimizations using CUDA, Triton, and custom kernels.Collaborate with ML researchers to balance model accuracy and speed.Lead efforts within the team as well as cross-team projects related to model optimization and deployment.Collaborate with cross-functional teams to understand data requirements and design appropriate solutions.Stay updated with the latest technologies and trends in ML inference and ML accelerators.Identify and resolve performance bottlenecks in models.Set a culture of engineering excellence within the team and work closely with the management and customer teams to balance between speed of delivery and quality of engineering artifacts.Qualifications
:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.5+ years of experience in GPU programming and optimization.Strong programming skills in C++ and PythonProven experience in GPU programming and optimizationFamiliarity with deep learning frameworks, especially PyTorchCUDA programmingTriton language for GPU kernelsPyTorch optimization techniquesTensorRT implementationONNX model conversion and deploymentCustom GPU kernel developmentDeep understanding of GPU architectures and performance optimizationProven ability to lead and mentor a team, manage projects, and drive technical initiatives.Strong analytical and problem-solving skills.Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. #LI-AW1
We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
Check out our Privacy Policy.
Please Note:
Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV's ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate's residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate's residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate's application.
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Team:
The training and deployment team, part of the ML Platform org at Stack AV, is responsible for the platform that helps the AI team to build models, optimize, test, and deploy them on the autonomous vehicles. We are seeking an experienced, visionary, and hands-on technical lead for our ML acceleration team. This role will be responsible for designing the architecture and leading a team to automate the optimization and deployment on complex ML models (including transformer-based models such as VLM models) for all the next-gen AI Autonomous Vehicle applications in the company. The ideal candidate will have a deep understanding of GPUs and optimization, excellent leadership skills, and the ability to drive technical excellence.
Responsibilities:Analyze and profile ML models to identify performance bottlenecks.Use OSS tooling to enhance our platform to enable ML engineers to profile models and optimize them (e.g., through quantization).Automate the process of exporting the model to optimized format (e.g., TensorRT) and deploying them.Implement optimizations using CUDA, Triton, and custom kernels.Collaborate with ML researchers to balance model accuracy and speed.Lead efforts within the team as well as cross-team projects related to model optimization and deployment.Collaborate with cross-functional teams to understand data requirements and design appropriate solutions.Stay updated with the latest technologies and trends in ML inference and ML accelerators.Identify and resolve performance bottlenecks in models.Set a culture of engineering excellence within the team and work closely with the management and customer teams to balance between speed of delivery and quality of engineering artifacts.Qualifications
:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.5+ years of experience in GPU programming and optimization.Strong programming skills in C++ and PythonProven experience in GPU programming and optimizationFamiliarity with deep learning frameworks, especially PyTorchCUDA programmingTriton language for GPU kernelsPyTorch optimization techniquesTensorRT implementationONNX model conversion and deploymentCustom GPU kernel developmentDeep understanding of GPU architectures and performance optimizationProven ability to lead and mentor a team, manage projects, and drive technical initiatives.Strong analytical and problem-solving skills.Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. #LI-AW1
We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
Check out our Privacy Policy.
Please Note:
Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV's ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate's residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate's residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate's application.