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CC++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.)
MongoDBJioTesseract, 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, In office role with excellent perks and benefits!
Key Responsibilities:
1. Design, develop, and maintain backend services and APIs using Node.js or Python, or Java.
2. Build and implement scalable and robust microservices and integrate API gateways.
3. Develop and optimize NoSQL database structures and queries (e.g., MongoDB, DynamoDB).
4. Implement real-time data pipelines using Kafka.
5. Collaborate with front-end developers to ensure seamless integration of backend services.
6. Write clean, reusable, and efficient code following best practices, including design patterns.
7. Troubleshoot, debug, and enhance existing systems for improved performance.
Mandatory Skills:
1. Proficiency in at least one backend technology: Node.js or Python, or Java.
2. Strong experience in:
i. Microservices architecture,
ii. API gateways,
iii. NoSQL databases (e.g., MongoDB, DynamoDB),
iv. Kafka
v. Data structures (e.g., arrays, linked lists, trees).
3. Frameworks:
i. If Java : Spring framework for backend development.
ii. If Python: FastAPI/Django frameworks for AI applications.
iii. If Node: Express.js for Node.js development.
Good to Have Skills:
1. Experience with Kubernetes for container orchestration.
2. Familiarity with in-memory databases like Redis or Memcached.
3. Frontend skills: Basic knowledge of HTML, CSS, JavaScript, or frameworks like React.js.
Who Are We
A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.
ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.
WHY US
- Join top AI company
- Grow with your best companions
- Continuous pursuit of excellence, equality, respect
- Competitive compensation and benefits
You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.
To learn more about how we work, please check out
Description:
We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.
Responsibilities:
- Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
- Lead a team of ML engineers in developing an industrial AI product from scratch
- Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
- Tune the models to achieve high accuracy rates and minimum latency
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements
Requirements:
- Bachelor’s degree
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- Experience in taking an AI product from scratch to commercial deployment.
- Experience in Image enhancement, object detection, image segmentation, image classification algorithms
- Experience in deployment with OpenVINO, ONNXruntime and TensorRT
- Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
- Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
- Proficient understanding of code versioning tools, such as Git
Our perfect candidate is someone that:
- is proactive and an independent problem solver
- is a constant learner. We are a fast growing start-up. We want you to grow with us!
- is a team player and good communicator
What We Offer:
- You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
- You will be in charge of what you build and be an integral part of the product development process
- Technical and financial growth!
Machine Learning (ML)
Data Science
Deep LearningWho Are We
A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.
ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.
WHY US
- Join top AI company
- Grow with your best companions
- Continuous pursuit of excellence, equality, respect
- Competitive compensation and benefits
You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.
To learn more about how we work, please check out
Description:
We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.
Responsibilities:
- Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
- Lead a team of ML engineers in developing an industrial AI product from scratch
- Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
- Tune the models to achieve high accuracy rates and minimum latency
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements
Requirements:
- Bachelor’s degree
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- 4+ years of industrial experience in computer vision and/or deep learning
- Experience in taking an AI product from scratch to commercial deployment.
- Experience in Image enhancement, object detection, image segmentation, image classification algorithms
- Experience in deployment with OpenVINO, ONNXruntime and TensorRT
- Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
- Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
- Proficient understanding of code versioning tools, such as Git
Our perfect candidate is someone that:
- is proactive and an independent problem solver
- is a constant learner. We are a fast growing start-up. We want you to grow with us!
- is a team player and good communicator
What We Offer:
- You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
- You will be in charge of what you build and be an integral part of the product development process
- Technical and financial growth!
PythonLocation : Gurgaon
About the company:
The company is changing the way cataloging is done across the Globe. Our vision is to empower the smallest of sellers, situated in the farthest of corners, to create superior product images and videos, without the need for any external professional help. Imagine 30M+ merchants shooting Product Images or Videos using their Smartphones, and then choosing Filters for Amazon, Asos, Airbnb, Doordash, etc to instantly compose High-Quality "tuned-in" product visuals, instantly. The company has built the world’s leading image editing AI software, to capture and process beautiful product images for online selling. We are also fortunate and proud to be backed by the biggest names in the investment community including the likes of Accel Partners, Angellist and prominent Founders and Internet company operators, who believe that there is an intelligent and efficient way of doing Digital Production than how the world operates currently.
Job Description :
- We are looking for a seasoned Computer Vision Engineer with AI/ML/CV and Deep Learning skills to
play a senior leadership role in our Product & Technology Research Team.
- You will be leading a team of CV researchers to build models that automatically transform millions of e
commerce, automobiles, food, real-estate ram images into processed final images.
- You will be responsible for researching the latest art of the possible in the field of computer vision,
designing the solution architecture for our offerings and lead the Computer Vision teams to build the core
algorithmic models & deploy them on Cloud Infrastructure.
- Working with the Data team to ensure your data pipelines are well set up and
models are being constantly trained and updated
- Working alongside product team to ensure that AI capabilities are built as democratized tools that
provides internal as well external stakeholders to innovate on top of it and make our customers
successful
- You will work closely with the Product & Engineering teams to convert the models into beautiful products
that will be used by thousands of Businesses everyday to transform their images and videos.
Job Requirements:
- Min 3+ years of work experience in Computer Vision with 5-10 years work experience overall
- BS/MS/ Phd degree in Computer Science, Engineering or a related subject from a ivy league institute
- Exposure on Deep Learning Techniques, TensorFlow/Pytorch
- Prior expertise on building Image processing applications using GANs, CNNs, Diffusion models
- Expertise with Image Processing Python libraries like OpenCV, etc.
- Good hands-on experience on Python, Flask or Django framework
- Authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR,ICCV, ACL)
- Prior experience of managing teams and building large scale AI / CV projects is a big plus
- Great interpersonal and communication skills
- Critical thinker and problem-solving skills
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