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2+ CUDA Jobs in Pune | CUDA Job openings in Pune

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Jio Tesseract
TARUN MISHRA
Posted by TARUN MISHRA
Bengaluru (Bangalore), Pune, Hyderabad, Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Mumbai, Navi Mumbai, Kolkata, Rajasthan
5 - 24 yrs
₹9L - ₹70L / yr
skill iconC
skill iconC++
Visual C++
Embedded C++
Artificial Intelligence (AI)
+32 more

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.


Mon-fri role, In office, with excellent perks and benefits!


Position Overview

We are seeking a Software Architect to lead the design and development of high-performance robotics and AI software stacks utilizing NVIDIA technologies. This role will focus on defining scalable, modular, and efficient architectures for robot perception, planning, simulation, and embedded AI applications. You will collaborate with cross-functional teams to build next-generation autonomous systems 9


Key Responsibilities:

1. System Architecture & Design

● Define scalable software architectures for robotics perception, navigation, and AI-driven decision-making.

● Design modular and reusable frameworks that leverage NVIDIA’s Jetson, Isaac ROS, Omniverse, and CUDA ecosystems.

● Establish best practices for real-time computing, GPU acceleration, and edge AI inference.


2. Perception & AI Integration

● Architect sensor fusion pipelines using LIDAR, cameras, IMUs, and radar with DeepStream, TensorRT, and ROS2.

● Optimize computer vision, SLAM, and deep learning models for edge deployment on Jetson Orin and Xavier.

● Ensure efficient GPU-accelerated AI inference for real-time robotics applications.


3. Embedded & Real-Time Systems

● Design high-performance embedded software stacks for real-time robotic control and autonomy.

● Utilize NVIDIA CUDA, cuDNN, and TensorRT to accelerate AI model execution on Jetson platforms.

● Develop robust middleware frameworks to support real-time robotics applications in ROS2 and Isaac SDK.


4. Robotics Simulation & Digital Twins

● Define architectures for robotic simulation environments using NVIDIA Isaac Sim & Omniverse.

● Leverage synthetic data generation (Omniverse Replicator) for training AI models.

● Optimize sim-to-real transfer learning for AI-driven robotic behaviors.


5. Navigation & Motion Planning

● Architect GPU-accelerated motion planning and SLAM pipelines for autonomous robots.

● Optimize path planning, localization, and multi-agent coordination using Isaac ROS Navigation.

● Implement reinforcement learning-based policies using Isaac Gym.


6. Performance Optimization & Scalability

● Ensure low-latency AI inference and real-time execution of robotics applications.

● Optimize CUDA kernels and parallel processing pipelines for NVIDIA hardware.

● Develop benchmarking and profiling tools to measure software performance on edge AI devices.


Required Qualifications:

● Master’s or Ph.D. in Computer Science, Robotics, AI, or Embedded Systems.

● Extensive experience (7+ years) in software development, with at least 3-5 years focused on architecture and system design, especially for robotics or embedded systems.

● Expertise in CUDA, TensorRT, DeepStream, PyTorch, TensorFlow, and ROS2.

● Experience in NVIDIA Jetson platforms, Isaac SDK, and GPU-accelerated AI.

● Proficiency in programming languages such as C++, Python, or similar, with deep understanding of low-level and high-level design principles.

● Strong background in robotic perception, planning, and real-time control.

● Experience with cloud-edge AI deployment and scalable architectures.


Preferred Qualifications

● Hands-on experience with NVIDIA DRIVE, NVIDIA Omniverse, and Isaac Gym

● Knowledge of robot kinematics, control systems, and reinforcement learning

● Expertise in distributed computing, containerization (Docker), and cloud robotics

● Familiarity with automotive, industrial automation, or warehouse robotics

● Experience designing architectures for autonomous systems or multi-robot systems.

● Familiarity with cloud-based solutions, edge computing, or distributed computing for robotics

● Experience with microservices or service-oriented architecture (SOA)

● Knowledge of machine learning and AI integration within robotic systems

● Knowledge of testing on edge devices with HIL and simulations (Isaac Sim, Gazebo, V-REP etc.)

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Kiara Global Services
Pune
2 - 4 yrs
₹15L - ₹18L / yr
skill iconC++
CUDA
skill iconDeep Learning
Image Processing
Computer Vision
+1 more

Pls Contact to sairam.akirala

@

kiaraglobalservices.com

798

981 217 8


Skills and attributes for success

To qualify for the role, you must have

  • Experience of minimum 2 years, CTC – 18LPA
  • Ability to develop Deep Learning frameworks to solve problems.
  • Design and create platforms for image processing and visualization.
  • Knowledge of computer vision libraries.
  • Understanding of dataflow programming.
  • B.E. (E&TC /Computer / IT / Mechanical / Electronics)
  • C++, video analytics, CUDA, Deepstream


The opportunity

We are currently looking for a Computer Vision Engineer, to join our office in Pune. As a Computer Vision Engineer, you will support our clients in defining and implementing a data journey aligned with their strategic objectives.

Some of your responsibilities will include:

  • Work with the research team to research, develop, evaluate, and optimize various computer vision and deep learning models for different problems.
  • Take ownership to drive computer vision solutions and meet customer requirements.
  • Deploying developed computer vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in the future.
  • Developing data handling and machine learning pipelines for training
  • In-depth understanding of computer vision models including object detection, semantic segmentation, and key-point detection
  • Implementing algorithms in robust, efficient, and well-tested code.


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