Top Tech Jobs & Startup Jobs

The Senior AI/ML Capacity Engineer will develop capacity planning models, design analytical tools, and collaborate with teams to optimize costs and efficiencies.

Design and build rendering infrastructure to run GPU-accelerated, physically-based sensor simulation at cluster scale. Integrate the renderer with AV stacks and ML training, ensure deterministic execution and timing fidelity, optimize GPU memory and throughput, implement multi-world execution and asset delivery, reduce cold-starts, and maintain profiling, testing, and cross-team collaboration.

Lead development and execution of 1D electrical models and electro-thermal battery simulations for 12V/48V vehicle systems. Perform analyses (charge balance, short-circuit, bus integrity), integrate supplier component models, compare to test data, and present results to stakeholders while collaborating cross-functionally to close modeling gaps and deliver robust designs.

Design, modernize, and support enterprise applications and integrations across on-prem, cloud, SaaS, and hybrid environments. Implement IaC (Terraform), CI/CD, containerized deployments, automation, monitoring, backups, and disaster recovery. Enforce security best practices, troubleshoot incidents, document runbooks, and introduce practical AI-enabled automation and analytics. Mentor junior engineers and drive platform reliability and scalable integrations.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

Lead sourcing of technology purchases (software, SaaS, infrastructure) globally. Develop and execute sourcing strategies, negotiate license and commercial terms, manage supplier performance and renewals, partner cross-functionally with IT, Legal, Security and Engineering, maintain benchmarks, ensure compliance with purchasing policies, and use procurement systems (e.g., SAP) to deliver contracts and business continuity.

Design, build, operate, and own scalable backend services and APIs for internal and customer-facing applications. Improve performance, observability, security, and reliability; lead architecture and API standards; troubleshoot production issues; support CI/CD and automation; mentor engineers and drive backend best practices across teams.

Develop and maintain on-vehicle services and frameworks that provision, execute, monitor, and instrument autonomous driving software across vehicles, simulations, and hardware. Build configuration and monitoring tooling, collaborate across teams, mentor developers, and deliver production-quality embedded software with a focus on testability.

Lead development of scalable, high-coverage software tests and automation for ADAS/AV platform. Build and maintain HIL/SIL/VIL test environments, analyze full-vehicle diagnostics, ensure safety standard compliance, collaborate with software and hardware teams to debug Linux/QNX systems, create test frameworks and scripts, perform FMEA and root-cause analysis, and assist in issue triage and log analysis.

Lead and grow an observability engineering team to define technical vision, build instrumentation, logging, metrics, and tracing solutions, drive platform development and vendor management, and collaborate across AI/ML, firmware, and infrastructure teams to improve reliability and incident response.