Perception & Guidance Engineer - UAS (Aerospace Division)

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach's Summer 2027 Engineering Internship, Software is open for future engineers and builders who want to work with us. This is a paid, in-person, 12-week internship. Depending on your background and team placement, you might work on: Guidance, Navigation & Control (GNC) — guidance algorithms, state estimation, trajectory planning, feedback control, and autonomy for unmanned platforms Flight & autonomy software — real-time software, flight control systems, autonomy stacks, and algorithms for next-generation vehicles Embedded software — low-level firmware, device drivers, hardware interfaces, and real-time systems running on embedded platforms Simulation & modeling — high-fidelity simulations, digital twins, hardware-in-the-loop testing, and tools for developing and validating autonomous systems Perception & sensor fusion — processing data from cameras, IMUs, GPS, radar, and other sensors to enable reliable navigation and situational awareness Testing & validation — software-in-the-loop, hardware-in-the-loop, automated testing, flight testing, and analyzing system performance under demanding conditions Sy

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity Postman is a rapidly growing Series D funded startup that specializes in providing innovative developer products and solutions for both individual developers and large enterprises. Our mission is to empower developers and organizations to create, test, and manage APIs more efficiently. We are currently seeking an experienced and highly skilled Field CTO to join our team, reporting to the CTO. In this role, you will work closely with customers to understand and guide their API strategy, ensuring Postman's products and services are seamlessly integrated into their architecture. What You’ll Do Act as a trusted technical advisor to Postman customers, helping them understand and navigate their API strategies and identify opportunities for Postman's products and services to add value. Collaborate with the sales and customer success teams to provide technical guidance during the pre-sales, onboarding, and ongoing support processes. Develop and deliver customer-facing presentations, demos, and workshops to demonstrate the value of Postman's solutions and help customers optimize their API management processes. Gather custome

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is building an AI-forward autonomy stack for contested environments where GPS and other sensing are unavailable or unreliable. As a Perception Engineer, you will design, train, and deploy state-of-the-art vision and multi-sensor perception systems that enable navigation, targeting, and automatic target recognition on our product lines. You’ll work across deep learning, computer vision, and embedded systems to bring research-grade algorithms to real-world deployments. Key Responsibilities Build and refine detection/segmentation/tracking architectures (CNN/Transformer) for EO/IR and multi-spectral imagery; drive foundation-scale datasets, training recipes, and robust generalization to long-tail and degraded conditions. Stand up training/eval pipelines (PR/ROC, mAP, latency, robustness suites); implement continuous regression testing and model-update loops from field data. Optimize models for real-time embedded inference (quantization/pruning, TensorRT/ONNX Runtime), profile CPU/GPU, and meet tight throughput/latency targets on Jetson-class hardware. Combine vision outputs with auxiliary sensing (e.g., radar/LiDAR/RF cues) for confirm/deny, association, and track management using decision-level fusion. Create visualization, triage,

Are you passionate about the future of autonomous vehicles? Join our DRIVE Road Structure, Online Mapping, and Context Fusion team to help build the next generation of self-driving technology! In this role, you’ll work alongside experienced engineers to develop advanced 3D world models that combine map and perception data, enabling vehicles to safely navigate complex roads and intersections in the U.S. and China. This is a fantastic opportunity to grow your skills and contribute to groundbreaking projects at the heart of our vision for autonomous driving. What you'll be doing: Contribute to Core Autonomous Driving Systems: Help develop and refine systems that integrate state-of-the-art perception and mapping technologies for use in diverse driving environments. Build Real-Time 3D World Models: Assist in creating dynamic 3D models by combining data from sensors and external sources to support planning and navigation. Support Mapless Driving Capabilities: Work on enriched bird’s-eye-view (BEV) models to enable autonomous vehicles to navigate complex urban settings without relying solely on high-definition maps. Enhance Scenario Understanding: Help build static obstacle and occupancy grids, and generate occlusion masks to improve the vehicle’s understanding of its environment. Collaborate Across Teams: Work closely with perception and planning teams, learning from experts and contributing to shared goals. Maintain High Standards: Write high-quality code and follow automotive industry best practices for safety and reliability. What we need to see: PhD with 1+ year, MS with 4+ years, or BS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong relevant software development experience, ideally with some exposure to robotics, autonomous vehicles, or relat

About the Team The Future of Computing Research team is an applied research team within OpenAI’s Consumer Devices group. We study how AI systems perceive people and their surroundings, and we turn that research into capabilities for future products. Our work spans machine learning, sensing, and hardware, with a focus on building systems that work beyond controlled environments. About the Role We’re looking for a machine learning engineer to help shape how future AI systems understand the physical world and the people in it. The role focuses on multimodal perception and authentication, bringing together signals from cameras, microphones, and other sensors. You’ll work with specialized perception models and larger multimodal models, and partner with hardware, firmware, software, and product teams to bring new research into real-world systems. This role is based in San Francisco. We work in the office three days per week and offer relocation assistance. In this role, you will: Research and develop multimodal perception and authentication methods across visual, audio, and other sensing signals. Explore how specialized perception models and larger multimodal models can work together. Design data, training, and evaluation approaches that improve performance in real-world conditions. Study model behavior, robustness, and failure modes across sensing, data, and deployment environments. Integrate and validate new capabilities in real-time or resource-constrained systems. Work with hardware, firmware, software, and product teams to turn research into working systems. You might thrive in this role if you: Have a strong background in computer vision, audio or speech machine learning, multimodal learning, or sensing. Have experience developing specialized machine learning models, larger multimodal models, or both. Have brought research ideas into practical systems, prototypes, or products. Know how to design experiments, build evaluations, and investigate model behavior. Have wo

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We’re a team applying ML to push autonomy performance forward. As a Perception ML Engineer, you’ll develop and improve perception models, with ownership of modeling, training, and evaluation. Your work will directly impact how autonomous systems understand rare scenarios, adapt to global geographies, and scale safely. Design and advance perception models that: Improve scene understanding from real sensor data, including 3D and spatial representations Generalize across sensor platforms, geographies, and rare driving scenarios Meet requirements for model quality and onboard inference runtime Tailor Your Impact: Applied ML Depth: Own model architecture, loss design, training, and experiments that deliver measurable perception improvements. Collaborative Delivery: Partner with ML Data Infrastructure and autonomy engineers, contributing across the stack when needed while keeping primary ownership in modeling. About the work You’ll so