Top Tech Jobs & Startup Jobs

Design and implement cloud security controls across multi-cloud environments, harden Kubernetes clusters, enforce IAM and least-privilege, manage IaC security, run CSPM and container scanning, automate compliance evidence, and monitor runtime container security.

Embed security into product design and development lifecycle: perform architecture reviews and threat modeling, run AI-assisted and manual security assessments, mature vulnerability management, guide developers on secure coding, support incident response, and automate SAST/DAST and CI/CD security tooling across cloud and on-prem environments.

Lead enterprise security operations: secure endpoints, servers, networks and third-party services; manage IAM, vulnerability management, EDR, intrusion detection, and incident response; support pen testing, compliance, audits, physical security, and employee security training while collaborating with engineering, ops, and legal.

Build tools and infrastructure to enable large-scale end-to-end autonomy research and productionize self-driving software. Scale training, manage large datasets, identify and remove bottlenecks across GPU compute, data curation, and evaluation systems while collaborating with AI research and engineering teams.

Design and ship deterministic, safety-critical classical or ML motion planners for fallback and minimal-risk maneuvers. Build planners for degraded perception and partial observability, evaluate behavior at scale using simulation and real-world data, develop metrics and analysis tools, and collaborate with perception, prediction, controls, safety, and remote assistance teams to deliver a reusable fallback platform.

Design, implement, and evaluate perception algorithms and 4D world representations for autonomous vehicles. Train and deploy ML and computer vision models from data collection to production, test on real vehicles, and collaborate with data, behavior, and research teams to deliver production-ready autonomy software.

Own and maintain HD maps infrastructure across products. Define map storage formats, distribute map data for UIs, data pipelines, storage, and SDKs. Collaborate with engineers and customers to design and build mapping and localization features for autonomous vehicle and simulation applications.

Act as the technical bridge for Japan-market customers, translating requirements into solutions for Applied's vehicle intelligence platform. Lead technical discussions, demos, and POCs, track milestones, organize meetings, and support Vehicle OS and self-driving system engagements with OEMs.

Build scalable Python-based tooling and infrastructure for autonomous vehicles, including systems for fleet management and vehicle communication. Design systems supporting multiple vehicle platforms and environments, collaborate across the autonomy stack, and support development, testing, and deployment of autonomy software.

Lead and deliver complex automotive engineering projects by defining milestones, managing timelines, budgets, and cross-functional teams. Act as single technical point of contact for customers, drive integration and validation, coordinate releases for software and hardware, surface customer pain points, and ensure successful completion of ADAS and vehicle platform deliverables.