Software Engineer - Robot Navigation, Localization & SLAM (Universal Robots at Teradyne

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

15 Aug, 26

Salary

0.0

Posted On

17 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, SLAM, Robot Navigation, Localization, ROS, Sensor Fusion, Motion Planning, Root Cause Analysis, Git, CI/CD, gRPC, Lidar, 3D Cameras, Odometry, Agile Methodologies, Test-Driven Development

Industry

Semiconductor Manufacturing

Description

Software Engineer – Robot Navigation, Localization & SLAM Our Purpose TERADYNE – where experience meets innovation and driving excellence in every connection. We foster an inclusive culture that values diversity, collaboration, and continuous learning, enabling us to deliver advanced robotics solutions with real‑world impact. Opportunity Overview We are looking for a Software Engineer with a strong background in robot navigation, localization, and SLAM who wants to apply deep technical expertise closer to real customer deployments. This role is ideal for engineers coming from core R&D or autonomy teams who want to see their work make an immediate difference in production systems. You will work in a customer‑facing front‑office engineering team, operating at the intersection of deployed robots, real environments, and the evolution of our navigation stack. You will not be doing first‑line support. Instead, you will own technically complex navigation issues observed in the field, identify root causes, implement solutions where appropriate, and drive well‑defined escalations to R&D when architectural changes are required. Your work will directly influence both customer success and the future direction of our autonomy software. What This Role Is About Turning real‑world navigation failures into concrete software improvements Bringing production feedback back into the autonomy stack Solving problems that only emerge at scale and in customer environments Maintaining strong technical ownership while increasing customer impact Key Responsibilities Take end‑to‑end ownership of navigation, localization, and SLAM issues observed in customer deployments Analyze logs, metrics, and recorded sensor data to understand system behavior in the real world Reproduce complex problems in lab, simulation, or controlled field environments Design and implement robust fixes and improvements in navigation, mapping, localization, and planning software (C++) Decide whether issues can be resolved within the front‑office scope or require structured escalation to core R&D Escalate with clear technical analysis, reproduction cases, and suggested solution directions Collaborate closely with R&D to ensure field learnings influence long‑term architecture Improve navigation robustness in dynamic, customer‑specific environments Contribute to architectural discussions affecting autonomy and fleet‑level behavior Support improvements to automated testing and deployment to prevent recurrence of field issues This is not a traditional support role. There is no ticket queue ownership or first‑line customer support.This is an engineering role focused on solving hard, real‑world autonomy problems. All About You Mandatory Qualifications 5+ years of professional experience in software development with strong C++ focus Practical experience debugging complex, real‑world robotic systems Hands‑on background in robot navigation, localization, SLAM, or autonomy software Ability to move from system‑level symptoms to root‑cause analysis and software changes Strong understanding of software architecture, design principles, and maintainable systems Experience working with production systems and ambiguity Experience with test‑driven development and agile methodologies Fluent in spoken and written English M.Sc. in Robotics Engineering, Computer Science, or a closely related field Proficiency Required in Several of the Following SLAM, localization, and mapping techniques used in deployed systems Robot navigation and motion planning in real‑world environments Diagnosing behavior using logs, telemetry, and recorded sensor streams Sensor fusion using lidar, 3D cameras, and odometry ROS (Robot Operating System) and navigation middleware Multi‑agent and asynchronous system behavior Traffic coordination or fleet‑level navigation concepts Containerized software and microservice‑based architectures Inter‑process communication (e.g., gRPC) DevOps practices such as CI/CD and automated testing Version control systems (Git) Experience collaborating across front‑office and core R&D teams Background in mobile robots, autonomous systems, or field‑deployed robotic products Experience using AI development tools Personal Attributes You enjoy deep technical problem solving, but want your work to matter immediately in the real world. You take ownership, are comfortable working in imperfect production environments, and know when to fix issues yourself versus driving change upstream. You value clear communication, pragmatic decisions, and building software that works reliably for customers. We are only considering candidates local to the position location. This position does not offer relocation or visa sponsorship.

Responsibilities

Take end-to-end ownership of navigation, localization, and SLAM issues observed in customer deployments to implement robust software fixes. Collaborate with R&D to ensure field data influences long-term autonomy architecture and prevents recurrence of issues.