Top Tech Jobs & Startup Jobs

Finds, develops, and produces stories highlighting company innovation, teamwork, and technical achievements. Responsibilities include interviewing subject matter experts, translating complex AI concepts, writing blogs and social content, creating storyboards, capturing photography and video, and editing short-form assets. The role adapts content for internal and external audiences and requires a portfolio demonstrating writing, scripting, photography, videography, and social media work.

Plan and coordinate software releases for an autonomy Planning and Controls team. Collaborate with development, testing, systems, and DevOps teams to ensure release readiness. Integrate test results, quarantine flaky tests, automatically bisect failures, and block unsafe promotions. Build Python applications, tools, and pipelines while improving release reliability and engineering productivity through AI-assisted tools. Maintain documentation for approved and verified software changes.

Lead architecture and development of advanced perception systems for Level 4 autonomous vehicles. Build multimodal foundation models, synthetic data and sensor simulation capabilities, knowledge-distillation pipelines, and efficient real-time onboard models. Deploy solutions to autonomous vehicle fleets while mentoring engineers and providing technical leadership. The role focuses on object detection, segmentation, tracking, classification, sensor fusion, closed-loop evaluation, and robust generalization across vehicle generations.

Designs system architectures, requirements, interfaces, and performance metrics for robotaxi systems spanning autonomy, remote operations, fleet orchestration, mapping, and customer-facing software. Evaluates system performance through data pipelines, simulation, verification, and validation campaigns; collaborates across engineering and operations teams; documents complex workflows; and supports safety-focused autonomous vehicle deployment.

Leads Motional’s product organization and unified product vision for its autonomous robotaxi service. Oversees product strategy across rider experience, autonomy tools, data pipelines, vehicle hardware, backend software, operations, and commercial partnerships. Establishes prioritization frameworks, tracks safety and performance KPIs, aligns cross-functional roadmaps, and guides commercial launch and global scaling. Builds and manages a high-performing product management team while translating technical capabilities into safer, more effective, and commercially viable releases.

Lead data science strategy for autonomous vehicle fleet and simulation data. Build statistical, predictive, and generative models to assess safety and performance across operating conditions, translate telemetry into launch-readiness metrics, support rapid operational investigations, and advise autonomy and systems teams. Mentor and scale a four-person team while communicating analytical findings to engineers and executives.

Build and operate scalable data infrastructure, including fault-tolerant pipelines, data discovery services, and data lineage systems. Develop backend services that process petabytes of data for machine learning and autonomy teams. Lead system design, code reviews, and technical contributions while using AWS cloud ETL technologies and distributed systems. Collaborate with stakeholders to improve platform adoption and address data customer needs.

Build and maintain automated software release and validation infrastructure for autonomous vehicle software. Responsibilities include enforcing release quality gates, managing branching and release governance, supporting cross-functional patch integration, monitoring release metrics, identifying build bottlenecks, and developing automation scripts for reliable, scalable workflows. The role requires Git, Python, CI/CD expertise, and experience with autonomous driving, robotics, or complex software release environments.

Owns technical development and production readiness of automotive HMI and cabin monitoring components. Responsibilities include managing requirements, collaborating with suppliers and cross-functional engineering teams, validating components through bench and vehicle testing, ensuring performance, safety, reliability, and regulatory compliance, and resolving technical issues. The role requires expertise in automotive communication protocols, Linux-based testing, diagnostic tools, synchronization protocols, high-performance compute platforms, environmental testing, and functional safety.

Leads and modernizes enterprise identity and access management across cloud, edge, vehicle-to-cloud, and partner ecosystems. Oversees Okta, IGA, federation, SCIM provisioning, OAuth governance, JML automation, RBAC/ABAC, compliance, SLAs, and IAM metrics. Develops secure identity frameworks for human, machine, and AI-agent identities while managing an IAM engineering team and collaborating with HR, Engineering, and End-User Services.