Helm.ai

Full-stack Engineer

• Design, develop, and deliver safe, scalable, and robust real-time software for mass production grade autonomous vehicle systems directly contributing to safer roads and economically viable AI deployment.
• Conduct in-depth algorithm analysis, optimization, and iteration to enhance efficiency and accuracy across the AV stack.
• Architect scalable continuous learning system for deploying new ML models, monitoring their performance, and prioritizing improvements.
• Collaborate with platform, embedded, and AI teams to ensure cohesive development, validation, and integration of ML based perception, prediction, and planning.
• Stay abreast of industry trends and emerging tools in high-performance computing, real-time systems, and AI-driven mobility.

Software Engineer, Autonomous Vehicles

Research Engineer

• Research, prototype and evaluate state of the art model optimization techniques and algorithms
• Characterize neural network quality and performance based on research, experiment and performance data and profiling
• Incorporate optimizations and model development best practices into existing ML development lifecycle and workflow
• Define the technical vision and roadmap for DL model optimizations
• Write technical reports indicating qualitative and quantitative results to colleagues and customers
• Develop, deploy and optimize deep learning (DL) models on various GPU and AI accelerator chipsets/platforms

Software Engineer, Autonomous Vehicles

Research Engineer, Optimization