Own deployment, management, and security of embedded software across autonomous robot fleets. Build CI/CD pipelines, fleet provisioning, and containerized workflows for edge devices. Collaborate with embedded, autonomy, and systems teams to ensure reproducible, secure, and scalable deployments from board bring-up through field updates.
Position Description
Swarmbotics AI is seeking a skilled and experienced Software Deployment Engineer to own the deployment, management, and security of the software running on the embedded, heterogeneous processors within our autonomous swarm systems. This individual contributor role will be responsible for building and maintaining CI/CD pipelines, fleet provisioning infrastructure, and containerized deployment workflows that keep our robots running reliably and securely in the field.
This role is critical to ensuring seamless hardware-software integration across our fleet of autonomous Unmanned Ground Vehicles, from initial board bring-up through production deployment and ongoing updates. The Software Deployment Engineer will work closely with embedded, autonomy, and systems engineering teams to ensure reproducible, secure, and scalable deployment processes across edge devices and supporting cloud environments.
The ideal candidate has deep expertise in Linux-based embedded systems, NVIDIA Jetson platforms, containerized deployments, and DevOps practices tailored for robotics systems operating in constrained or intermittently connected environments. This individual is comfortable building processes from scratch in a fast-moving startup where execution, security, and meticulous documentation are essential.
Required Qualifications- Strong desire to work in a fast-paced, fluid startup environment
- Ability to work onsite in the Phoenix, AZ area
- Minimum 3 years of experience in a DevOps, SRE, or embedded systems deployment role
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical field
- Deep expertise in Linux internals and system-level configuration
- Hands-on experience with NVIDIA Jetson platforms, including board bring-up, BSP customization, and JetPack/L4T environments
- Experience designing and maintaining CI/CD pipelines using tools such as GitHub Actions, CircleCI, Jenkins, or similar
- Experience with configuration management and automation tools, preferably Ansible
- Proficiency in containerization (Docker) tailored for resource-constrained edge environments
- Proficiency in scripting languages such as Python and Bash
- Solid understanding of cybersecurity principles for embedded and edge devices, including secure boot, root of trust, kernel hardening, and supply chain security
- Strong commitment to documentation, reproducibility, and idempotent deployment practices
- Excellent communication and problem-solving skills
- Excitement about contributing to the defense of the United States and its allies
- Must be eligible to obtain and maintain a U.S. Secret security clearance
- Hands-on experience with hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing
- Experience with declarative configuration management approaches such as Nix or NixOS
- Experience with bootloaders such as U-Boot and secure boot implementations
- Experience with container orchestration platforms such as Kubernetes for edge or cloud environments
- Knowledge of network protocols and embedded systems security
- Experience deploying embedded systems in air-gapped or intermittently connected environments
- Experience with supply chain risk management and software bill of materials (SBOM) practices
- Familiarity with ROS and robotics software stacks
- Experience with NVIDIA GPU programming environments such as CUDA or TensorRT
Top Skills
Linux,Nvidia Jetson,Jetpack,L4T,Bsp,Github Actions,Circleci,Jenkins,Ansible,Docker,Python,Bash,Secure Boot,Root Of Trust,Kernel Hardening,Supply Chain Security
Similar Jobs
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.
Top Skills:
Audio Data CollectionAudio LabelingData PipelinesDataopsHuman EvaluationLatent Space Models (Lsms)Machine LearningModel EvaluationModel ServingModel TrainingSpeech-To-Text (Stt)Text-To-Speech (Tts)
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Contribute to Product Security by building automation to triage and remediate CodeQL alerts, design AI-assisted workflows to prioritize findings, tune static analysis rules, and integrate CodeQL checks into CI/CD pipelines while collaborating with security and engineering teams.
Top Skills:
Python,Javascript,Java,Codeql,Ci/Cd,Github Advanced Security,Snyk,Wiz,Sast,Sca,Devsecops,Ai Agents,Static Analysis
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Lead and manage a regional KYC team handling B2B onboarding, enhanced due diligence, and periodic reviews. Ensure SLA adherence, high-quality risk memos, AI-driven workflow improvements, audit readiness, and strong cross-functional partnerships with product, engineering, QA, and commercial teams while monitoring regulatory developments.
Top Skills:
Google Workspace,Slack,Macos,Ai-Enabled Tools,Ai-Assisted Research Or Workflow Tools
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
