Own end-to-end deployment of autonomous systems in customer environments for mission success.
Analyze field feedback and implement monitoring tools to improve reliability and performance.
Train customer teams and translate technical concepts into actionable workflows.
Field AI develops autonomous systems and Field Foundational Models for deploying robots in unstructured, real-world environments. The company is a close-knit team of experts from leading AI and robotics organizations, focused on bold, high-impact innovation.
Design and maintain robotics middleware using modern C++ on embedded Linux.
Own platform components from architecture to deployment and fleet operations.
Collaborate with autonomy, systems, and hardware teams on safety and reliability.
The company builds and evolves embedded software platforms for a fleet of autonomous delivery robots. It fosters a collaborative, cross-functional engineering culture focused on reliability, safety, and professional growth.
Research and develop state-of-the-art state estimation and navigation algorithms for GPS-denied environments.
Design and deploy production-grade C++ software for embedded robotic systems in dynamic, real-world environments.
Build rigorous tests, benchmarking, and validation pipelines to ensure robust and safe autonomy.
Shield AI is a venture-backed defense-tech company protecting service members and civilians with intelligent systems. It builds Hivemind autonomy software, V-BAT and X-BAT aircraft, and simulation technologies, with offices worldwide.
Design, build, and maintain robotic platforms, including sensor integration, calibration, and actuator control.
Develop the robotics software stack for perception, state estimation, motion planning, and control, plus simulation environments.
Deploy and optimize learned models on hardware with attention to latency, safety, and reliability.
Metacognition builds intelligent systems capable of learning, remembering, and reasoning over time. It is an early-stage startup with a highly collaborative, fast-moving environment where employees have meaningful ownership.
Coordinate real-time robot software, motion planning systems, and machine learning pipelines across multiple platforms.
Build and maintain data-labeling tools, perception systems, and compilers for robotics applications.
Deploy software in customer facilities and improve performance based on real-world operation.
They build software for AI-driven robots in production environments. As a Series A company, they maintain an early-stage culture that values ownership and adaptability.
Own end-to-end deployment execution including site prep, installation, commissioning, and SAT handover.
Build operational runbooks, train operators, and manage service partners for deployed systems.
Travel internationally (Germany first) and domestically 50-70% to support production ramps.
Rhoda AI is building the next generation of generalist intelligent robots, owning the full robotics stack from hardware to foundation world models. They have raised over $450M and are investing in research, infrastructure, hardware, and manufacturing scale-up to make generalist robotics a reality.
Design high-performance training platform components including orchestration, observability, and performance tuning.
Deliver end-to-end ML pipelines from dataset curation to training, validation, and deployment.
Drive technical direction across ML Platform, Infrastructure, Autonomy, and Safety teams.
Stack is developing revolutionary AI and advanced autonomous systems for safer, more reliable, and efficient operations, focusing on autonomous trucking. The Stack team brings decades of experience in real-world systems and is committed to a culture of inclusion, entrepreneurship, and innovation.
Define technical vision and architecture for autonomy capabilities combining RF sensing, perception, and control.
Lead development of radar and RF signal processing algorithms, simulation, and verification.
Guide cross-functional integration and mentor engineering teams for fielded autonomous systems.
Shield AI is a venture-backed defense-tech company building intelligent systems such as Hivemind autonomy software and V-BAT aircraft to protect service members and civilians. With offices across the U.S., Europe, the Middle East, and Asia-Pacific, it fosters an equal opportunity culture and supports operations worldwide.
Work with the Product Team to build product prototypes and manage integrations with simulation ecosystems.
Develop deep understanding of customer workflows and contribute to roadmap and quarterly planning.
Translate complex technical and customer needs into clear product direction and communicate across teams.
Parallel Domain provides sensor simulation and reconstruction software for physical AI, enabling autonomous systems to test and validate at scale. The company is a Series B, fully remote team with engineers from top tech companies like Waymo and Google.
Design, scale, and deploy production-ready computer vision and ML architectures for satellite imagery.
Lead full-lifecycle model R&D from data curation through training, validation, and error analysis.
Drive model robustness across challenging real-world conditions and optimize AWS GPU workloads.
BlackSky is a real-time intelligence company that operates a space-based intelligence platform providing satellite imagery, automated analytics, and monitoring for national security and commercial customers. Its global team is people-first, customer-focused, and works with cutting-edge technology to deliver foresight and strategic advantage.
Own firmware and embedded solutions end-to-end, from customer problems to shipped features across device, backend, and cloud.
Drive technology choices and architectural patterns for intelligent video, voice AI, and computer vision at the edge.
Partner with hardware, backend, and product teams to scale Samsara's edge AI strategy and mentor engineers.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for safer and more efficient physical operations. A recently public company with over 2.3 million IoT devices deployed, it fosters a growth-minded, customer-focused culture with flexible remote work.
Own development of test plans, procedures, and test cases for mission autonomy subsystems.
Establish and maintain traceability between requirements, test cases, and procedures.
Collaborate cross-functionally to integrate and verify autonomous flight systems.
The company develops advanced autonomous flight systems for commercial and defense aviation in a safety-critical aerospace environment. It is a small, agile startup with a collaborative culture focused on rapid iteration and certification readiness.
Own end-to-end technical strategy for major areas of the Voyager SDK’s application layer, including model deployment and pipeline development.
Set technical direction for image processing, create reusable architectures, and partner with the compiler team to resolve compilation issues.
Represent the Applications team’s capabilities to business stakeholders, mentor engineers, and drive documentation standards.
Axelera AI is a deep-tech company creating a next-generation AI platform to advance humanity. With $450 million raised and 250+ employees including 60+ PhDs, they have a strong business pipeline exceeding $100 million and are committed to innovation.