Top Tech Jobs & Startup Jobs

Leads the global Total Rewards strategy and operations covering compensation, benefits, payroll, equity, mobility, job architecture, governance, compliance, and executive compensation. Partners with senior leaders, Finance, Legal, HR, and regional teams to build scalable, equitable, data-driven programs. Oversees global vendors, annual compensation planning, benefits governance, payroll controls, communications, and international mobility. Manages and develops a distributed Total Rewards team while improving technology, analytics, data quality, operational efficiency, and employee understanding.

Lead the development of a perception system for autonomous driving, mentor engineers, manage ML model projects, and ensure agile practices.

Lead strategic communications and storytelling for Woven Capital and its portfolio: develop integrated global programs, manage media and stakeholder relationships, drive social and internal content, and produce events to advance Toyota's innovation narrative.

Design, build, and operate cloud-native backend systems and large-scale data ETL pipelines for ADAS simulation and analytics. Develop APIs, data schemas, automation, and testing strategies; collaborate with product and engineering teams, write technical documentation, and deliver features through the full software lifecycle.

Define and allocate system-to-software safety requirements, design and verify safety mechanisms and verification strategies (unit/integration/HIL/vehicle), perform safety analyses (FMEA/FMEDA, FTA), contribute evidence for Safety Cases, and collaborate with Systems, V&V, ML Safety, and Cybersecurity to maintain traceability across releases.

Design and deploy large-scale multimodal perception foundation models for autonomous vehicles. Build end-to-end ML training, evaluation, and deployment pipelines, optimize models for runtime and hardware, collaborate across Perception, Planning, Simulation, and Infrastructure, and apply rigorous scientific methods to deliver production-ready, safety-conscious perception systems.

Lead a global team of 40+ to manage corporate network, server, productivity tools, and MDM. Define roadmaps, metrics, budgets, enforce quality/testing standards, drive security-first culture, mentor engineers, and collaborate across organizations to deliver reliable infrastructure and developer productivity tools.

Build and maintain ML platform tooling and pipelines for perception, prediction, and planning. Enable dataset curation, distributed training, evaluation, and deployment (cloud and edge). Optimize tooling, collaborate with ML teams, review code, and drive long-term platform strategy while working in a hybrid Palo Alto environment.

The Senior Simulation Engineer will develop core simulation technologies, integrate solutions, analyze results, and advocate for innovative methodologies in AD/ADAS systems.

Use statistical modeling and analytical frameworks to shape data acquisition, validation, and ML training strategies for AD/ADAS. Develop metrics to characterize data distribution and diversity, perform ambiguous problem analysis to inform decisions, communicate findings to stakeholders, embed with engineering teams for domain-specific recommendations, and mentor data science engineers to drive best practices.