Benefits:

• Competitive compensation and benefits package (medical/dental/vision)

• Company paid Life Insurance

• 401K Plan

• Early-stage equity

• Unlimited PTO

Education Requirements:

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or a related technical field.

Experience Requirements:

• 3+ years of experience in Quality Assurance or test engineering, preferably in robotics, embedded systems, or autonomous systems.

Other Requirements:

• Strong experience designing and implementing software testing methodologies, including unit, integration, system, and acceptance testing.

• Familiarity with robotic simulation tools such as Gazebo or similar.

• Exceptional problem-solving skills and a keen attention to detail.

• Strong communication and collaboration skills to work effectively within a dynamic team environment.

• Proficiency in Python or C++ for test automation and scripting.

• Experience with CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI.

• Familiarity with Linux-based development environments.

• Experience with version control systems (e.g., Git).

• Familiarity with ROS (Robot Operating System) or similar robotics middleware.

• Experience robustly testing robotic software systems in simulation and data-replay settings that may not be deterministic.

• Experience testing hardware-in-the-loop (HIL) and software-in-the-loop (SIL) systems.

• Knowledge of computer vision and machine learning testing practices.

• Familiarity with safety standards and compliance testing for autonomous systems.

• A background in agricultural technology, industrial automation, or outdoor robotics.

Responsibilities:

• Conduct thorough testing of C++ and Python robotics software applications, including functional, regression, integration, performance, acceptance, and stress testing on amd64 robotic platforms in both simulated and real-world environments.

• Develop and execute comprehensive test plans, test cases, and test scripts to validate software functionality and performance across robotic systems, including embedded software, and cloud-based services.

• Design and implement automated ROS-based testing frameworks for both hardware and software components.

• Drive the integration of QA processes into continuous integration, deployment, and testing (CI/CD/CT) pipelines, ensuring consistency and reliability.

• Identify, document, and track software defects and bugs, working closely with development teams for efficient resolution.

Benefits:

• Competitive compensation and benefits package (medical/dental/vision)

• Company paid Life Insurance

• 401K Plan

• Early-stage equity

• Unlimited PTO

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field.

Experience Requirements:

• 5 years of experience designing, implementing, and managing infrastructure for robotics, IoT, or similarly complex systems, with a strong emphasis on build and deployment pipelines.

• 5 years of experience managing Linux-based infrastructure, including system administration of on-premises and cloud environments.

Other Requirements:

• Experience with cloud platforms (e.g., AWS) and databases (PostgreSQL).

• Strong experience with containerization technologies, including Docker.

• Experience with Infrastructure as Code (IaC) tools like Terraform and configuration management tools like Ansible.

• Proficiency with scripting languages such as Bash and Python for automation.

• Proven experience with continuous integration and delivery (CI/CD) models, including setting up and optimizing build systems and workflows (e.g., GitHub Workflows, Jenkins).

• Working knowledge of developer tools, open-source technologies, and cloud services.

• Knowledge of cost, efficiency, and productivity optimization methods for build and deployment processes.

• Ability to clearly communicate complex advanced concepts to both technical and non-technical stakeholders.

• Experience with Ubuntu, ROS, and build systems like CMake, including managing package dependencies and packaging (e.g., Debian, Flatpak).

• Familiarity with SSO, SSL/TLS, and advanced Identity and Access Management (IAM) concepts.

• Ability to create system and architecture diagrams with tools such as mermaid/C4 Model.

• Experience with metrics, telemetry, and observability infrastructure (e.g., Prometheus, Grafana) for monitoring build and system health.

• Familiarity with advanced PostgreSQL database administration best practices, including performance tuning and replication.

• Experience in optimizing build times and managing complex dependency structures.

• Knowledge of tools for profiling and performance metrics of code.

Responsibilities:

• Lead the end-to-end optimization and automation of our software build, packaging, and deployment pipelines for our diverse robot fleet.

• Share ownership of the design, deployment, and ongoing management of our global infrastructure, with a particular focus on optimizing software delivery to edge devices in low-bandwidth, high-latency, lossy networking environments.

• Optimize and manage build systems and processes to decrease build times, resolve circular dependencies, and efficiently manage third-party library integrations.

• Develop and implement advanced deployment pipelines, focusing on build packaging, staging, and robust deployment strategies for our robot fleet.

• Design, implement, and maintain continuous integration and continuous delivery (CI/CD) pipelines, leveraging tools like GitHub Workflows to ensure efficient and reliable software releases.

Benefits:

• Choice of medical, dental, and vision insurance plans for you and your family

• Flexible paid time off and 10+ holidays per year

• A stipend to upgrade your home office for fully-remote roles

• 401k for US-based employees

Education Requirements:

• Bachelor's degree in Computer Science, Machine Learning, Statistics, or other fields of advanced quantitative study; advanced degree preferred

Experience Requirements:

• 2 years of experience in a people management role with direct reports, excluding tech lead positions

Other Requirements:

• Strong proficiency with the latest Large Language Model (LLM) technologies

• High proficiency in a procedural programming language (e.g. Python)

• Strong communication skills with the ability to distill complex concepts into understandable insights for non-technical stakeholders

• Strong leadership and mentorship skills and experience, with a passion for guiding and developing other team members

• Previous experience in the legal or healthcare technology fields is a plus, but not required

Responsibilities:

• Develop and implement career progression frameworks to guide the growth of your direct reports

• Provide mentorship, coaching, and resources to support the technical and career development of team members

• Foster a culture of continuous learning and professional growth within the organization

• Collaborate with engineering and product teams to define the strategic direction of the product for the assigned squad

• Coordinate with cross-functional partners to align on product priorities and roadmap objectives