Must Have Technical/Functional Skills
- 3+ years of experience in data engineering, machine learning systems, robotics, or related fields.
- Master’s degree in engineering, Computer Science, Data Science, or equivalent practical experience.
- Proven experience building production-grade data pipelines for ML/AI systems.
- Strong hands-on experience with Python-based data tooling.
- Experience working with large, complex, multimodal datasets.
- Systems thinking mindset with strong cross-functional collaboration skills.
- Direct experience supporting robotics perception, grasping, or manipulation AI.
- Familiarity with robotics simulation platforms such as Isaac Sim and synthetic data generation.
- Experience with data labeling tools and annotation workflows at scale.
- Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective.
- Experience with Microsoft data ecosystems (e.g., Power BI, Azure data services).
- Exposure to self-supervised or weakly supervised learning techniques.
Roles & Responsibilities
- Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque).
- Build infrastructure to support high-throughput data capture from real robots and simulation environments.
- Develop and deploy semi-supervised / self-supervised data labeling workflows to reduce manual annotation cost.
- Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation.
- Own data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
- Partner closely with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
- Establish data quality metrics that directly correlate with perception and grasping performance
Base Salary Range : $100,000 to $130,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.