Job Description

Job Description

Are you excited about building high-performance robotic systems that can perceive, learn, and act intelligently alongside humans? Our team is creating new products and technologies that make this possible, at global scale.

Our software team is seeking broad, curious engineers to join our diverse, full-stack team. In addition to holistically designing, building, and delivering end-to-end robotic systems, our team is responsible for the core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, and software engineers to collaborate and deploy systems in the lab and in the field. Our work spans real-time software, machine learning engineering, big data, simulation, and more.

Key job responsibilities

• Architect, design,and implement roboticsoftware applications, infrastructure, and tools.
• Work with stakeholders across hardware, science,and operations teams to iterate on systems design and implementation.
• Create robust, high-quality, well-tested software to interface with robots, controlsensors, actuators, and other hardware.
• Collaborate with machine learningand robotic controlsexperts to implementand deploy algorithms, such as machine learning models.
• Profile, tune, and optimizesystem performance.
• Create re-usable softwareand systems to accelerate roboticsdevelopment.
• Maintain high standards by participating in reviews, designingfor fault toleranceand operational excellence, and creating mechanisms for continuous improvement.

Basic qualifications

• Bachelor’s Degree or greater in Computer Science/Engineering, Statistics, Mathematics, or equivalent.
• 5+ years of professional software development experience with at least one modern language such as Python, C++, Java, or Kotlin including object-oriented design.
• 3+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
• Proficiency with professional softwareengineering practices & standard practicesfor the full software life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Experience in software designand architecture. Excellentinterpersonal and written communication skills.
• Strong experience in Robotic

Preferred qualifications

• Experience with AWS (S3, Lambda, SQS).
• Master’s or advanced degreein Computer Science/Engineering, Statistics, Mathematics, or equivalent.
• 8+ years of industrysoftware development experience, with background in design patterns, data structures, and test-driven development.
• Experience in one or more relevanttechnical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, and simulation.
• Experience with interdisciplinary developments that involve hardware, software, and algorithm co-design.
• Experience supporting large-scale infrastructure and tool development for scientific/engineering users.
• Solid fundamentals in operating systems, embedded systems, or systems programming. Demonstrable experience in building, programming and integrating softwareand hardware for robotic systems. Independent and ability to work with minimal direction.
• Demonstrated experience incubating and productionizing new technology, working closely with researchscientists and technical teams from idea generation throughimplementation

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