Staff Specialist Field Engineer, ADAS

Requirements

• 8+ years experience in ADAS systems development, test and validation, perception engineering, or AI/ML for ADAS applications.
• Deep familiarity with ADAS sensor modalities (camera, LiDAR, radar), their data characteristics, and associated ML problem types.
• Hands-on ML capability: able to build, validate, and deploy ML solutions independently in Python using modern ML frameworks.
• Proficient in working directly in JupyterHub, VS Code, Marimo, and W&B Models to build and deploy customer-facing applications.
• Working knowledge of ML approaches relevant to ADAS: anomaly detection, time-series analysis, performance prediction, or sensor data modelling.
• Able to validate ML solutions on engineering grounds and identify when a result is inconsistent with the physical or safety constraints of the domain.
• Proven experience leading complex technical customer engagements, managing multi-stakeholder environments, and maintaining executive relationships.
• Strong understanding of the ADAS development pipeline, including scenario-based testing, HIL/SIL environments, and data-driven validation approaches.
• Able to translate field observations into structured product signals that are actionable for an engineering team.
• Bachelor's or Master's degree in Electrical Engineering, Systems Engineering, Computer Science, Physics, or a related technical discipline.
• Preferred
• Knowledge of functional safety standards including ISO 26262 and SOTIF.
• Experience with simulation environments used in ADAS development (CARLA, CarMaker, VIRES VTD, or similar).
• Familiarity with edge deployment of ML models in constrained or safety-critical environments.
• Experience identifying and progressing expansion opportunities within strategic customer accounts.
• Track record of contributing to internal knowledge frameworks, technical publications, or industry forums in the ADAS space.
• Experience working alongside or within an AI infrastructure or MLOps environment.
• Wondering if you're a good fit?
• We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.
• You are equally comfortable discussing perception algorithm design with an ML engineer and sensor validation methodology with a safety engineer, and you know that the most valuable insight often sits at that boundary.
• You want to build AI solutions that are deployed in real engineering environments, not demonstrated in notebooks.
• You find the gap between what ADAS systems can currently validate and what AI-driven approaches could enable

Additional Information

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . We're proud to be a Living Wage accredited Employer.

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