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Salary
≈ $23k – $53k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Sep 11, 2026.

Overview
Company
Impact
Profile match
Teradyne is a manufacturer of automated test equipment for semiconductors and electronics. Its testers validate chips before they ship into consumer and automotive products, the company also owns collaborative robotics businesses, and it hires engineers, planners, sales managers and field specialists in the United States and Asia. The company is headquartered in North Reading, Massachusetts, United States.
Backed by Punakaiki Fund

Our Purpose

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.

We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.

Opportunity Overview

We are seeking a Software Engineer with AI/ML experience to join the AI Partnerships team in Bangalore, India. This mid-level role focuses on building, deploying, and maintaining the software systems and ML pipelines that connect advanced AI capabilities with Teradyne's robotics products and partner ecosystems.

You will collaborate with machine learning researchers and robotics engineers to ensure that state-of-the-art AI models are delivered as robust, production-ready software for applications in robot manipulation, visual inspection, and autonomous mobile robots (AMRs) / mobile manipulators.

This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership. You will own significant software modules end-to-end - from understanding the problem through designing, building, testing, and supporting them in production.

Responsibilities

  • Design and implement ML pipelines for training, evaluation, and deployment.
  • Integrate ML models into ROS2-based robotic systems using Python and C++.
  • Collaborate with ML engineers, robotics teams, and product stakeholders.
  • Evaluate model performance and develop monitoring systems.
  • Improve ML infrastructure and engineering best practices.
  • Support data engineering tasks including dataset management and synthetic data generation.
  • Build user-facing tools to simplify AI deployment in robotics workflows.

All About You

We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you’re ready to join us in this mission, take a closer look at the minimum criteria for the position.

Required Qualifications

  • BS or MS in Computer Science, Software Engineering, or related field.
  • 3-6 years of experience in software development with ML applications.
  • Strong programming skills in Python; familiarity with C++.
  • Experience with PyTorch or similar ML frameworks.
  • Understanding of ML concepts and evaluation methodologies.
  • Experience with ROS2 and robotic systems is a plus.
  • Strong collaboration and communication skills.

Preferred Qualifications

  • Experience in robotics, industrial automation, or manufacturing.
  • Background in computer vision for robotics (e.g., object detection, segmentation).
  • Familiarity with MLOps tools and practices.
  • Exposure to reinforcement learning, anomaly detection, or VLA models.
  • Experience with interpretability techniques (e.g., SHAP, LIME).
  • Demonstrated ability to stay current with AI/ML research and apply it in practice.

We are only considering candidates local to position location and are unable to provide relocation for this position.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

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