Skydio jobs

Skydio, the leading US drone company, is hiring a Senior Wireless Software Engineer for its National Security team to design and optimize radio-link software and system-level algorithms for mission-critical drone communications using industrial/defense-grade RF data links like Microhard pMDDL radios. You'll own radio-link performance end-to-end, integrate and control radios at the system layer, build adaptive link behaviors for rate control and QoS, enable multi-node topologies, drive testing in contested environments, and develop observability tooling while debugging close to hardware. Required experience includes strong background with RF data links and industrial radio modems, wireless link fundamentals, embedded Linux networking, C/C++ proficiency, hands-on debugging with spectrum analyzers and packet capture tools, and cross-functional collaboration skills; must be a U.S. Person with up to 20% travel willingness. The role is hybrid (3 days/week) from San Mateo, California or Boston, Massachusetts, with relocation packages available; compensation is $170,000–$240,000 base plus equity. A key stand-out detail is the emphasis on defense-grade, mission-critical radio systems in contested/congested RF environments—this is specialized, high-stakes work requiring deep wireless and embedded systems expertise.

Skydio, the leading US autonomous drone company, is hiring a Deep Learning Infrastructure Engineer to build and scale the infrastructure supporting their AI/ML training efforts. You'll design scalable data pipelines and annotation workflows, optimize deep learning training to improve iteration velocity, and work at the intersection of autonomy and cloud teams to deploy new capabilities. Required experience includes hands-on data engineering with large-scale pipelines, cloud-based ML platforms, containerization, ML Ops, and demonstrated ability to drive concepts through the full software lifecycle from architecture to monitoring. Skydio combines cutting-edge AI, hardware, and software to serve enterprise, public safety, and defense customers with intelligent aerial robots. The role strongly encourages FAA Part 107 certification within 60 days and requires strong communication skills to collaborate across technical depth levels in a complex codebase.

Skydio is seeking a software engineer to build cloud-native, full-stack systems powering their customer-facing simulator platform, which allows users to configure and interact with the Skydio Simulator at scale. You'll design backend services that orchestrate simulator execution, develop APIs and interfaces for customer personalization, and bridge cloud infrastructure with C++ and Python real-time simulation systems. The role requires strong professional experience with Python and C++, modern frontend development using TypeScript and React, and proficiency with AWS, Kubernetes, and PostgreSQL; you'll work across system boundaries from cloud services down to simulator interfaces and collaborate closely with simulator, autonomy, and product teams. Skydio is the leading US drone company focused on autonomous flight, serving utility inspectors, first responders, and military applications. Experience with Rust, Go, workflow orchestration systems like Temporal, or 3D visualization technologies (Three.js, WebGL) is a strong plus, as is background in robotics or real-time systems.

Skydio, the leading US autonomous drone company, is hiring an experienced software engineer to lead development of internal tools supporting the autonomy lifecycle. You'll design and build replay/analysis systems, scalable testing infrastructure, and developer tooling that enables autonomy engineers to test ideas, diagnose behaviors, and understand complex interactions between software and the physical world—combining backend systems work with front-end visualization. The role requires 3+ years of software engineering experience, proficiency in C++ and Python, strong understanding of performance-sensitive and multi-threaded systems, and familiarity with simulation frameworks or state-machine-driven applications. Bonus qualifications include robotics/aerospace/automotive domain experience, exposure to physics engines, telemetry systems, and modern web frameworks like React or Three.js. You'll operate at the interface between autonomy software and core robotics middleware, partnering closely with autonomy, QA, and infrastructure teams in a fast-paced environment where requirements evolve. This is a senior-level role with significant ownership and long-term impact on developer velocity across the autonomy organization.

Skydio is hiring a Software Engineer to build and evolve the core Skydio Simulator, a high-fidelity real-time digital replica used by customers and autonomy engineers to test autonomous drone systems. The role involves designing simulator architecture, improving physics and dynamics models, building high-fidelity sensor simulations (cameras, IMUs), integrating the full autonomy stack, and optimizing performance and realism across the simulator stack. You'll need strong C++ and Python experience, proven ability building complex systems where performance and correctness matter, comfort with time-synchronized or real-time systems, and interest in robotics or physical systems (prior robotics experience is helpful but not required). Skydio is the leading US drone company focused on autonomous flight technology, working with utility inspectors, first responders, and military applications. This is a systems-heavy role emphasizing correctness, performance, and realism, with bonus value for experience in game engines, physics engines, sensor modeling, or multithreaded low-latency system design.

Skydio, the leading US autonomous drone company, is hiring a Motion Planning Software Engineer to develop core planning algorithms that define how their drones behave and fly. You'll design and implement motion planning strategies across the full stack—from low-level stabilization and control to high-level task frameworks—working with real hardware to validate your algorithms through simulation and flight testing. Required experience includes software development for physical systems (robotics, autonomous vehicles, etc.), proficiency in C++, and strong fundamentals in modern and classical control theory, dynamic programming, and nonlinear optimization. This is a hands-on role collaborating across software and UX teams to define interfaces and interaction paradigms for new autonomous capabilities. Skydio is the market leader in US drone autonomy with deep AI and hardware expertise, and this position offers the rare opportunity to directly impact the character and capabilities of production autonomous vehicles at scale.

Skydio, the leading US autonomous drone company, is hiring a Deep Learning Model Acceleration Engineer to join their autonomy team. You'll develop high-performance inference solutions for computer vision workloads across different hardware platforms, profile and optimize vision models and VLMs to reduce latency and power consumption, and design end-to-end MLOps workflows for model deployment and monitoring. The role requires strong hands-on experience with ML inference acceleration, MLOps, deep learning fundamentals, computer vision, and ML frameworks, plus demonstrated ability to drive concepts through the full software lifecycle from architecture to deployment. This is a technical role at the intersection of Skydio's autonomy, embedded, and cloud teams, working with real-time deep networks processing massive amounts of structured video data. The company is based in the US and uses E-Verify for employment eligibility.

Skydio (autonomous drone leader) seeks an Autonomy Engineer – Deep Learning Infrastructure in Zurich, Switzerland (remote eligible but non-US). Role focuses on building MLOps infrastructure, deep learning inference optimization, model deployment, and GPU kernel optimization for computer vision workloads. Requires hands-on MLOps, ML inference acceleration, CV/image processing expertise, and ML pipeline experience. Position is specialized in ML infrastructure engineering and deployment, not traditional software engineering.

Skydio, the leading US autonomous drone company, is hiring a Computer Vision/Deep Learning Engineer for their core autonomy team. You'll design and deploy real-time deep learning models for object detection, tracking, segmentation, and optical flow on embedded drone hardware, working with both synthetic and massive structured video datasets. Required experience includes hands-on deep learning model creation and deployment, computer vision fundamentals, dataset curation, and strong software engineering in Python or C++ with the ability to read and apply research papers. The role emphasizes being a generalist who can prototype, optimize for low-latency embedded systems, and thrive in a fast-paced collaborative team environment. This is a core technical position at a well-funded, US-based autonomous robotics leader focused on pushing real-time AI boundaries for mobile robots.

Skydio is hiring a PhD Autonomy Engineer Intern in Zurich, Switzerland to develop reinforcement learning policies for autonomous drone flight, navigation, and control. The role involves training policies using Isaac Lab, sim-to-real techniques, and collaborating with perception and controls teams. While remote-capable and technically rigorous, this is an internship-level position, not a senior role, and is based internationally rather than in the US.

Skydio seeks an Autonomy Engineer Intern specializing in deep learning and computational photography for real-time drone vision systems. Located in Zurich, Switzerland or Tampere, Finland. Role focuses on designing and deploying optimized deep learning models (super-resolution, HDR imaging, optical flow) using Python/PyTorch and C++.

PhD Autonomy Engineer Intern at Skydio is a research internship in computer vision and autonomous flight algorithms. The position focuses on developing and prototyping deep learning and computer vision algorithms for autonomous drone systems. Based in Zurich, Switzerland with remote flexibility, this is an internship-level research role, not a senior engineer position.

Autonomy Engineer Intern (Fall 2026) at Skydio in Zurich, Switzerland. Internship position focused on autonomous flight algorithms, motion planning, controls, computer vision, and deep learning. Requires strong C++ and/or Python; background in controls, graphics, or ML preferred. Based internationally outside US; internship level misaligns with James's senior-level target.

Skydio seeks an Autonomy Engineer Intern for Fall 2026 in computer vision and deep learning, located in Zurich, Switzerland. Role involves designing and implementing autonomous algorithms for drone systems using C++/Python and PyTorch. This is an internship-level R&D position requiring hands-on contributions to core autonomy systems.

Skydio is hiring a Senior Engineering Manager, Infrastructure in San Mateo, CA (remote-capable, 3 days/week hybrid) to lead the Software Infrastructure Team supporting Skydio Cloud. Role involves SRE, observability, CI/CD, and cloud-to-drone infrastructure; requires 10+ years leading distributed systems, AWS/Kubernetes expertise, and team leadership. Hybrid model with office in San Mateo; reports to VP Engineering.

Customer Success Manager at Skydio for Northeast mid-market drone customers. US Remote, ~50 accounts, 20%+ travel required. Focuses on customer onboarding, implementation, adoption, and QBRs with SLED (public safety/law enforcement) clients. Operations and account management role, not software development.

Skydio, the leading US autonomous drone company, seeks an experienced Public Safety Strategist to drive market expansion and solution adoption among state, local, and educational agencies, reporting to the Senior Director of Strategic Relationships. Key responsibilities include championing Skydio's drone and detect-and-rescue (DFR) technology to public safety decision-makers, collaborating cross-functionally on territory strategy and revenue growth, developing business cases for agency stakeholders, serving as a subject matter expert to guide product and engineering teams, and leading customer engagement and feedback loops to shape product roadmap priorities. The role requires a minimum of 20+ years of law enforcement experience with substantial command-level responsibility (Commander, Captain, Chief, Sheriff level), FBI National Academy graduation, deep knowledge of government operations and procurement, and strong presentation skills with elected officials and command staff. The position offers competitive compensation of $200,000–$260,000 OTE plus equity, comprehensive benefits, and relocation assistance, though it demands approximately 75% regional and national travel. This is a practitioner-expert role suited for former law enforcement leaders seeking to transition into tech commercialization with direct impact on public safety innovation.