Develops and executes automated and manual tests for all aspects of Ignition, validating and verifying new features across desktop, web, API, and mobile platforms.
Responsibilities
Validating low to medium complexity bugs and features
Occasionally working on higher complexity issues with guidance from Senior Quality Assurance Engineers
Contributing fixes and new tests to automated test suites
Performing PR reviews of automated tests submitted by other team members
Assisting with the monitoring of nightly automation run reports
We are looking for an experienced engineering leader who combines strong people leadership, execution discipline, and technical depth. This role is ideal for someone who enjoys building high-performing distributed teams while remaining close enough to the technology to guide architecture, troubleshoot complex problems, and help the team make sound engineering decisions.
Responsibilities
Lead, coach, and mentor a geographically distributed engineering team across multiple countries and time zones.
Build a high-performing engineering culture based on ownership, accountability, collaboration, technical excellence, and continuous learning.
Conduct regular 1:1s, provide actionable feedback, establish development goals, and support engineers in their career growth.
Manage performance effectively, recognizing strong contributors while addressing performance gaps in a timely and constructive manner.
Participate in workforce planning, interviewing, hiring, onboarding, and retaining high- quality engineering talent.
Lead teams protecting water OT systems from cyber threats, designing, implementing, and monitoring security measures, and creating disaster recovery plans.
Responsibilities
Design and maintain network security standards for water and wastewater infrastructure
Lead penetration testing and vulnerability assessments
Develop and enforce security policies and procedures
Mentor and manage cybersecurity professionals
Support business development and client relationships
Requirements
Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or Electrical Engineering
Master of Science in Computer Science, Information Technology, Cybersecurity or equivalent
Nice to have: Certified Ethical Hacker (CEH)
Nice to have: Advanced cybersecurity certifications
Nice to have: Experience with water treatment plant OT security
Senior platform DevSecOps engineer responsible for designing, building, and securing AWS cloud architectures for Air Force and Department of Defense missions.
Compensation
The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD).
Responsibilities
Design secure AWS architectures and develop Infrastructure as Code
Build and maintain CI/CD pipelines with automated testing, security checks, and releases
Manage and harden containerized workloads, implement identity and access controls
Implement logging, monitoring, and alerting; support vulnerability remediation
Translate cybersecurity requirements into automated controls and support RMF and ATO activities
Requirements
Bachelor’s degree in Computer Science, Cybersecurity, Information Systems, or Engineering
Design and deliver low‑level simulation and virtualization software for high‑performance automotive systems.
Compensation
The US base salary range for this full-time position is $163,500.00 - $212,400.00.
Responsibilities
Own the end‑to‑end design and delivery of low‑level emulation and virtualization software for high‑performance, high‑throughput ECU simulation across multiple cross‑platform vehicle initiatives
Architect and optimize CPU, GPU, NPU simulation / emulation / virtualization technologies continuously pushing the boundaries of functionality, performance, efficiency, and reliability
Deliver production‑grade simulation components that precisely meet product definitions, customer specifications, and vehicle platform requirements, maintaining full traceability to requirements
Design and implement high‑performance Linux guest drivers and libraries for CPU, GPU, NPU, and peripheral components, enabling seamless virtualized hardware access in a virtualized environment
Partner closely with application and system development, validation, and integration teams to translate real‑world automotive constraints into robust, high‑quality simulation solutions that accelerate vehicle product SW development, validation, and integration
Requirements
BS / MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent
Responsible for automating infrastructure and deployment pipelines for e-commerce and AI services.
Compensation
Stipend: None initially. Based on your first-quarter performance, you may be offered a paid full-time opportunity, or even be absorbed directly by the client as an FTE.
Responsibilities
Build and maintain fully automated platform for tech stack
Design, implement, and manage IaC provisioning with Terraform
Set up and maintain CI/CD pipelines using Makefile, Jenkins/GitHub Actions/GitLab CI
Manage containerization with Docker and Traefik
Implement observability stack with Prometheus, Grafana, Loki, OpenTelemetry
Build and own core parts of the teleoperation system that lets a person step inside a humanoid robot and work through it in real time, from the operator’s headset to the robot and from simulation through deployment at customer sites.
Compensation
We offer competitive compensation, a performance-based bonus, 100% employer covered medical benefits for most healthcare plans, early-stage equity, competitive PTO, and company-wide paid winter break between December 24th and January 2nd.
Responsibilities
Design and build the headset application and robot‑side services, written primarily in Rust
Build the native OpenXR application operators use to drive humanoids, robot arms, and dexterous hands, including its HUD, onboarding, and in‑headset guidance
Stream stereo video and robot state to the operator, and operator commands to the robot, with low latency over Wi‑Fi and wide‑area networks, and keep the robot safe when the connection degrades
Map operator motion onto the robot, including whole‑body and arm retargeting, dexterous hand retargeting, and pre‑programmed grasps
Work with locomotion, controls, autonomy, and machine learning engineers so teleoperation produces high‑quality training data and can take over when autonomy needs help
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