Staff Software Engineer, ML Acceleration

🕒 April 10

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Stack AV

WebsiteLinkedInAll Job Openings

51 - 200 employees

🚗 Transport

🤖 Artificial Intelligence

Transport • Artificial Intelligence

Stack AV is a company that is revolutionizing the transportation industry through its autonomous trucking solutions, driven by advanced artificial intelligence. The company focuses on developing AI-powered autonomous systems to enhance safety, reliability, and efficiency in trucking operations. Stack AV is committed to addressing the challenges of the trucking industry by designing smart solutions to improve supply chain intelligence, business outcomes, and delivery speed. Safety is a core principle, and the company leverages cutting-edge AI, machine learning, and cloud technologies to innovate within the industry.

📋 Description

• Analyze ML models to identify and resolve performance bottlenecks. • Incorporate OSS tools to enable 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 Excellence: Maintain a high bar for engineering excellence in their own work but also set a culture of engineering excellence within the team.

🎯 Requirements

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related 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 complex technical concepts to non-technical stakeholders • Autonomous vehicles (AV) experience is a bonus.

🏖️ Benefits

• Equal opportunity workplace • Culture of inclusion • Entrepreneurship and innovation