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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.)

Key Responsibilities:

• Develop and maintain scalable Python applications for AI/ML projects.
• Design, train, and evaluate machine learning models for classification, regression, NLP, computer vision, or recommendation systems.
• Collaborate with data scientists, ML engineers, and software developers to integrate models into production systems.
• Optimize model performance and ensure low-latency inference in real-time environments.
• Work with large datasets to perform data cleaning, feature engineering, and data transformation.
• Stay current with new developments in machine learning frameworks and Python libraries.
• Write clean, testable, and efficient code following best practices.
• Develop RESTful APIs and deploy ML models via cloud or container-based solutions (e.g., AWS, Docker, Kubernetes).

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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

Job Description:-

Infrastructure as Code (IaC): Implement and maintain infrastructure as code using tools like Terraform or AWS CloudFormation, ensuring scalability and reliability of cloud resources.

Continuous Integration/Continuous Deployment (CI/CD): Establish and enhance CI/CD pipelines to automate build, test, and deployment processes, facilitating faster and more reliable releases.

Configuration Management: Manage and automate server configurations using tools like Ansible, Chef, or Puppet, ensuring consistency and compliance across environments.

Monitoring and Logging: Set up and maintain monitoring and logging solutions (e.g., CloudWatch, ELK stack) to proactively identify and troubleshoot issues within the AWS infrastructure.

Security and Compliance: Implement security best practices and compliance standards (e.g., AWS IAM, Security Groups) to protect data and resources. Conduct security audits and vulnerability assessments.

The Successful Applicant

AWS Proficiency: Extensive experience with Amazon Web Services (AWS) and its services, including EC2, S3, RDS, Lambda, and more. AWS Certified DevOps Engineer certification is a plus.

Infrastructure as Code (IaC): Proficiency in writing and maintaining infrastructure as code using tools like Terraform, AWS CloudFormation, or similar technologies.

CI/CD Tools: Strong knowledge of CI/CD tools such as Jenkins, Travis CI, or AWS CodePipeline. Ability to configure and optimize automated build and deployment pipelines.

Containerization: Hands-on experience with containerization technologies like Docker and container orchestration platforms like Kubernetes in AWS.

Scripting and Automation: Proficiency in scripting languages (e.g., Bash, Python) for automating tasks and managing infrastructure.

Monitoring and Logging Tools: Familiarity with monitoring and logging tools such as CloudWatch, ELK stack (Elasticsearch, Logstash, Kibana), Prometheus, Grafana, or Splunk.

Security and Compliance: Strong understanding of AWS security best practices, identity and access management (IAM), and compliance frameworks (e.g., HIPAA, GDPR).

Networking: Knowledge of AWS networking concepts, VPC, and routing. Experience with VPNs, Direct Connect, and other networking technologies is a plus.

Database Administration: Basic knowledge of database administration on AWS, including RDS, DynamoDB, or Aurora.

Collaboration and Communication: Excellent communication and teamwork skills to collaborate with cross-functional teams and convey technical information effectively.

As Lead Software Engineer, we are looking for a person who loves to engineer design specs into usable interactions. Responsibilities will include translation of the UI/UX design wireframes to actual code that will produce visual elements of the application. You will work with the development team to understand and bridge the gap between graphical design and technical implementation, taking an active role and defining how the application looks as well as how it works.

This is an innovative role and requires a candidate who is extremely motivated, dedicated, and passionate about development. It's a high growth opportunity to be part of a fast-growing startup!

Key Responsibilities :

- Build scalable web applications using MERN Stack
- Convert visual designs to UI elements with an acute eye for detail and design fidelity
- Make web applications responsive and cross-browser compatible
- Optimize application performance and reduce page loading speed
- Collaborate with various teams to develop new features
- Ability to work under pressure and deliver projects with tight deadlines
- Implement unit tests and integration tests to drive development efficiency.

Requirements :

- 3 years of work experience comprising of Backend(preferably NodeJS), Frontend (React/Angular) and Software Design/Architecture
- 2+ years experience building Production grade applications on ReactJS or Angular - STRICT REQUIREMENT
- Expertise in building UI components in a reusable manner.
- Knowledge of messaging services like Apache Kafka, RabbitMQ
- Experience in integrating REST APIs and developing data processing pipelines
- Experience in distributed web services development and chaining
- Understanding of cloud services like AWS and GCP
- Experience with DevOps technologies such as Docker, Kubernetes, Jenkins, CI/CD, etc
- Experience in working with Mapping Library like Google Maps, Mapbox or Leaflet is a plus.

Salary - 4-6.5 lpa