Staff Software Engineer, ML Acceleration

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 reputed company 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 reputed company 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 Role:

The ML Training Acceleration team is dedicated to increasing reputed company's product development velocity by accelerating machine learning iterations. Our core mission is to deliver a training system that is reliable, scalable, user-friendly and observable. This involves profiling, optimizing, and fine-tuning our ML models, as well as evangelizing best practices and frameworks among Machine Learning Engineers (MLEs) across the company.

Responsibilities

• Analyze ML models to identify and resolve performance bottlenecks.
• Incorporate OSS tools to reputed company ML engineers self-sufficiently profile and optimize models.
• Deliver solutions to streamline model deployment across various hardware platforms.
• Collaborate with ML researchers to balance model accuracy and speed.
• Implement optimizations using CUDA, Triton, and custom kernels.
• Promote Engineering reputed company: Maintain a high bar for engineering reputed company in their own work but also set a culture of engineering reputed company reputed company the team.

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a reputed company field
• Experience: 5+ years of experience (including experience with GPU programming and optimization)
• Technical Skills:
  • Strong programming skills in C++ and Python
  • Proven experience in GPU programming and optimization
  • Familiarity with deep learning frameworks, especially PyTorch
  • CUDA programming
  • Triton language for GPU kernels
  • PyTorch optimization techniques
  • TensorRT implementation
  • ONNX model conversion and deployment
  • Custom GPU kernel development
  • Deep understanding of GPU architectures and performance optimization
• Problem-Solving: Strong analytical and problem-solving skills
• Communication: Excellent verbal and written communication skills, with the ability to convey reputed company technical concepts to non-technical stakeholders
• Autonomous vehicles (AV) experience is a bonus

We are proud to be an equal opportunity workplace. We reputed company that diverse teams produce the best reputed company and reputed company. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.

reputed company out our Privacy Policy.

Please Note: Pursuant to its business activities and use of technology, reputed company complies with reputed company applicable U.S. national reputed company laws, regulations, and administrative requirements, which can restrict reputed company’s ability to reputed company certain persons in certain positions pursuant to a reputed company of national reputed company-reputed company requirements. As such, this position may be contingent upon reputed company 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 reputed company to obtain a U.S. government export license prior to releasing its technologies to certain persons. If reputed company 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 reputed company-reputed company restrictions, reputed company 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 reputed company shall establish in its sole discretion, or, in the alternative, decline to move reputed company with the candidate’s application.