Research Engineer, Optimization

🕒 February 25

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📚 Research Engineer

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Helm.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

🚗 Transport

🤝 B2B

🔥 Funding within the last year

💰 Corporate Round - Helm.ai on 2025-10

Artificial Intelligence • Transport • B2B

Helm. ai is an AI-first autonomy software company that builds vision-only, production-ready perception and autonomy stacks and generative-simulation foundation models for ADAS through Level 4 autonomous driving. The company provides on-vehicle real-time software (Helm. ai Vision, Helm. ai Driver) and offline training/validation tools (GenSim-2, VidGen-2, WorldGen-1) trained with its Deep Teaching™ unsupervised learning and generative AI to scale training, simulation, corner-case resolution, and deployment for production-bound projects. Helm. ai partners with global automakers such as Honda and Volkswagen to deliver scalable, vision-first autonomous driving solutions.

📋 Description

• Focus on research and development related to the optimization of ML models on GPU’s or AI accelerators • 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

🎯 Requirements

• Proficiency in ML model development and optimization techniques (e.g. numerical optimization, quantization, sparsity, pruning, architecture search and design), particularly on model deployment onto GPU’s or AI accelerators • Strong understanding of deep learning algorithms, software engineering and GPU-based computing • Experience working with neural networks in Tensorflow and/or PyTorch • Proven ability to thrive in fast-paced environment • Ability to communicate complex technical concepts to colleagues and a variety of audience • Introspection, thoughtfulness, and detail-orientation • Proficiency in Python • Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field (a plus)

🏖️ Benefits

• Competitive health insurance options • 401K plan management • Free lunch and fully-stocked kitchen in our South Bay office • Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale • The opportunity to work on one of the most interesting, impactful problems of the decade