Top Tech Jobs & Startup Jobs

Design and implement a full-stack operating system: kernel, system services, runtime, application framework, BSPs, HALs, and device drivers. Write and review performance-critical code, implement IPC, memory management, security sandboxing, networking, and power/performance features. Collaborate with hardware partners/OEMs, engage with open-source projects, and mentor engineering peers.

Validate automotive-grade PCBs through board-level testing, characterize performance with lab equipment, automate test routines, interpret OEM protocols, document results, and collaborate with design and software teams to support bring-up and root cause analysis.

Design and implement scalable, secure Over-the-Air update platforms in C++ and Go. Build cloud-native infrastructure, package management, CDNs/PDNs, secure delivery pipelines (cryptographic signing, encrypted channels), containerized deployment, monitoring and analytics, and support large-scale device fleets across embedded Linux and RTOS devices.

Lead engineering role integrating Applied Intuition's vehicle intelligence products with defense and government platforms. Own end-to-end technical execution, system deployment, OS configuration, hardware integration, architecture, and customer-facing integration to ensure mission success.

Lead development and deployment of high-performance motion planning modules for autonomous vehicles. Mentor engineers, set technical direction, integrate perception, prediction, and lightweight maps, optimize performance, establish testing/validation for production hardware, and manage customer engineering relationships to align deliverables with autonomy goals.

Lead and grow an engineering team building data quality systems, intelligent labeling workflows, and large-scale data mining to surface edge cases. Drive integration of foundation models, set technical direction and roadmaps, partner with research and infrastructure teams, and hire and mentor engineers to scale high-fidelity labels and accelerate ML iteration for autonomy.

Lead design and execution of global compensation, equity, and benefits programs. Define total rewards philosophy, oversee benchmarking, merit and bonus cycles, vendor and system selection, governance, and job architecture to attract, retain, and motivate talent across functions and geographies.

Design and own the go-to-market tech stack, architect Salesforce integrations with marketing, finance, and customer systems, define data governance and quality standards, identify AI-driven automations, select and onboard GTM tools, monitor performance, and create documentation and enablement for cross-functional teams.

Conduct research on 3D vision and generative foundation models (e.g., Gaussian splatting, multi-modal pretraining, world models) for autonomous driving and robotics. Publish at top conferences, collaborate with engineers on ADAS, data, and simulation, and deploy end-to-end algorithms and distributed ML training into production systems.

Build and manage candidate pipelines for technical roles (autonomy, ML/AI, embedded, software); develop research-driven sourcing and talent mapping; partner with hiring managers and recruiters; leverage data and market research to refine sourcing strategies and deliver a strong candidate experience.