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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Robotics Software Engineer - Performance & Infrastructure (X-Caddie) - **Company:** WINDQUIET TECHNOLOGIES, INC. - **Location:** Saratoga, CA, United States - **Salary:** $110,000.0 - $180,000.0 - **Contract:** Internship / Graduate position - **Skills:** Automation of Tests, C++ (Programming Language), Profiling, Nvidia CUDA, Computer Engineering, Middleware, Embedded Software, Python (Programming Language), Linux Kernel, Data Logging, Robot Operating System, Information Technology, ONNX (Open Neural Network Exchange) Format, Production Code, Performance Monitor, Build Tools, Machine Learning Operations, TensorRT - **Published:** July 28, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=868c1d8db1c219cb ## About the Role * Bachelor's, Master's, or PhD in Robotics, Computer Science, Electrical/Computer Engineering, or a related field - with demonstrated systems or autonomous-systems experience through projects, research, professional work, or internships. Depth of hands-on experience matters more than degree level. * Strong proficiency in C++ and Python, with real experience writing and profiling performance-critical, real-time code. * Hands-on GPU optimization experience: CUDA kernel development, profiling and tooling on NVIDIA platforms (e.g., Jetson), and inference optimization such as TensorRT or ONNX. * Working knowledge of robotics algorithms - perception, state estimation, and planning - sufficient to optimize them without breaking their behavior. * Experience with ROS2 (or comparable robotics middleware), including build systems, QoS/transport behavior, logging, and replay. * Experience with robotics simulation (e.g., Gazebo, Isaac Sim) and/or CI and test automation for robotics or ML systems is a strong plus. * Comfort working in a fast-paced, cross-functional team, with a first-principles, analytical approach to problem-solving. * A drive to take algorithms from prototype to real-world deployment on physical hardware. ## Description * Profile and optimize perception and robotics algorithms for real-time execution on Jetson-class hardware, balancing latency, throughput, and memory across the full pipeline. * Write and tune custom CUDA kernels and accelerate compute-heavy workloads - point-cloud processing, geometry, and fusion - alongside neural-network inference (e.g., TensorRT). * Build and maintain simulation infrastructure and scenario-based test suites - covering navigation as well as docking and robotic-arm charging sequences - so autonomy changes can be validated repeatably before they reach a robot. * Build data and ML infrastructure: data collection from fleet operation, dataset management, training and evaluation pipelines, and performance monitoring. * Improve system-level robustness - deterministic startup, logging and replay for post-incident investigation, and stability under load. Shared across the autonomy team: * Collaborate with the robotics, controls, embedded-software, and hardware teams to develop and integrate new capabilities into the autonomous stack, respecting the boundary between the intelligence layer and the independent safety layer. * Validate work through simulation and on-site testing on real hardware; analyze performance and iterate. * Write and maintain production-quality code (Python and/or C++) within a ROS2-based system. You'll also work alongside - and can grow into: * Perception and localization, whose pipelines you'll profile and accelerate. * Planning and navigation, whose behavior you'll help validate through simulation and replay. * Precision docking and automated charging, where you'll help measure and drive end-to-end cycle reliability and timing. * Tuning of configurable runtime parameters (e.g., safety distances, speed limits, cost weights). ## Related Videos - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [Developer’s Perspective: Overview of the Tezos Blockchain Ecosystem](https://www.wearedevelopers.com/videos/237-developer-s-perspective-overview-of-the-tezos-blockchain-ecosystem) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Exploring BOS: The Blockchain Operating System by NEAR Protocol](https://www.wearedevelopers.com/videos/781-exploring-bos-the-blockchain-operating-system-by-near-protocol) - [Enhancing Workload Security in Kubernetes](https://www.wearedevelopers.com/videos/356-enhancing-workload-security-in-kubernetes) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Dev Digest 112 - The True Crime of AI Development](https://www.wearedevelopers.com/magazine/421-dev-digest-112-the-true-crime-of-ai-development) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)