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Minimum Experience: 4 years (mandatory)
CTC Budget: ₹18–20 LPA (strict, no exceptions)
Location: Madhapur, Hyderabad
Work mode: Work From Office
Notice period: Immediate to 15days
Mandatory Skill:
Good to Have:
Qualifications
● Strong background in AI/ML with applied experience in computer vision, robotics ML, or
real-time edge intelligence.
● Hands-on experience with NVIDIA GPU acceleration, CUDA, TensorRT, and deep learning
frameworks (e.g., PyTorch, TensorFlow).
● Proficiency in Python, Linux, and modern development workflows (Git, CI/CD, etc.).
● Experience building, training, and deploying ML models in production or on embedded
systems.
● Familiarity with robotic perception concepts such as object detection, segmentation,
tracking, sensor fusion, or pose estimation.
● Ability to analyze performance bottlenecks and optimize models for latency, throughput,
and reliability on embedded hardware.
● Strong cross-functional collaboration skills with software, hardware, and robotics teams.
● Ability to work full-time at our HQ in Pasadena, CA.
Desired Multipliers
● Experience with NVIDIA tools and frameworks for robotics and edge AI (e.g., Isaac,
TensorRT, Jetson ecosystem).
● Familiarity with ROS (Robot Operating System).
● Experience with perception algorithms, sensor fusion, motion planning, or behavior
modeling.
● Knowledge of reinforcement learning, imitation learning, or behavior cloning for robotic
applications.
● Experience working in noisy, dynamic, or unstructured real-world environments.
● Experience with agile tools such as JIRA.
● Strong attention to detail and a passion for improving real-world robotic performance.
Responsibilities
● Build and maintain data pipelines for continuous model training, evaluation, and
deployment.
● Optimize models for real-time inference on embedded GPU hardware (e.g., NVIDIA Jetson).
● Improve the system’s ability to handle challenging conditions such as heat, steam,
occlusion, variable lighting, and rapid operator movements.
● Develop ML systems to support tasks such as activity recognition, anomaly detection,
quality assessment, and robotic behavior prediction.
● Implement monitoring and feedback loops to identify model drift and drive continuous
improvement.
Job Types: Full-time, Permanent
Pay: ₹1,500,000.00 - ₹2,000,000.00 per year
Ability to commute/relocate:
Application Question(s):
Experience:
Work Location: In person
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