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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.)
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, 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.
We are seeking a Senior Data Scientist with hands-on experience in Generative AI (GenAI) and Large Language Models (LLM). The ideal candidate will have expertise in building, fine-tuning, and deploying LLMs, as well as managing the lifecycle of AI models through LLMOps practices. You will play a key role in driving AI innovation, developing advanced algorithms, and optimizing model performance for various business applications.
Key Responsibilities:
- Develop, fine-tune, and deploy Large Language Models (LLM) for various business use cases.
- Implement and manage the operationalization of LLMs using LLMOps best practices.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Optimize and troubleshoot model performance to ensure high accuracy and scalability.
- Stay updated with the latest advancements in Generative AI and LLM technologies.
Required Skills and Qualifications:
- Strong hands-on experience with Generative AI, LLMs, and NLP techniques.
- Proven expertise in LLMOps, including model deployment, monitoring, and maintenance.
- Proficiency in programming languages like Python and frameworks such as TensorFlow, PyTorch, or Hugging Face.
- Solid understanding of AI/ML algorithms and model optimization.


About UpSolve
We built and deliver complex AI solutions which help drive business decisions faster and more accurately. We are a typical AI company and have a range of solutions developed on Video, Image and Text.
What you will do
- Stay informed on new technologies and implement cautiously
- Maintain necessary documentation for the project
- Fix the issues reported by application users
- Plan, build, and design solutions with a mental note of future requirements
- Coordinate with the development team to manage fixes, code changes, and merging
Location: Mumbai
Working Mode: Remote
What are we looking for
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- Minimum 2 years of professional experience in software development, with a focus on machine learning and full stack development.
- Strong proficiency in Python programming language and its machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
- Experience in developing and deploying machine learning models in production environments.
- Proficiency in web development technologies including HTML, CSS, JavaScript, and front-end frameworks such as React, Angular, or Vue.js.
- Experience in designing and developing RESTful APIs and backend services using frameworks like Flask or Django.
- Knowledge of databases and SQL for data storage and retrieval.
- Familiarity with version control systems such as Git.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work effectively in a fast-paced and dynamic team environment.
- Good to have Cloud Exposure


Location: Ahmedabad / Pune
Team: Technology
Company Profile
InFoCusp is a company working in the broad field of Computer Science, Software Engineering, and Artificial Intelligence (AI). It is headquartered in Ahmedabad, India, having a branch office in Pune.
We have worked on / are working on AI projects / algorithms-heavy projects with applications ranging in finance, healthcare, e-commerce, legal, HR/recruiting, pharmaceutical, leisure sports and computer gaming domains. All of this is based on the core concepts of data science,
computer vision, machine learning (with emphasis on deep learning), cloud computing, biomedical signal processing, text and natural language processing, distributed systems, embedded systems and the Internet of Things.
PRIMARY RESPONSIBILITIES:
● Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models.
● Architecting large scale data analytics/modeling systems.
● Designing and programming machine learning methods and integrating them into our ML framework/pipeline.
● Analyzing data collected from various sources,
● Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science.
● Writing specifications for algorithms, reports on data analysis, and documentation of algorithms.
● Evaluating new machine learning methods and adapting them for our
purposes.
● Feature engineering to add new features that improve model
performance.
KNOWLEDGE AND SKILL REQUIREMENTS:
● Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with at least 3 years of professional work experience working on real-world data.
● Strong programming background, e.g. Python, C/C++, R, Java, and knowledge of software engineering concepts (OOP, design patterns).
● Knowledge of machine learning libraries Tensorflow, Jax, Keras, scikit-learn, pyTorch. Excellent mathematical skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts
● Ability to perform both independent and collaborative research.
● Excellent written and spoken communication skills.
● A proven ability to work in a cross-discipline environment in defined time frames. Knowledge and experience of deploying large-scale systems using distributed and cloud-based systems (Hadoop, Spark, Amazon EC2, Dataflow) is a big plus.
● Knowledge of systems engineering is a big plus.
● Some experience in project management and mentoring is also a big plus.
EDUCATION:
- B.E.\B. Tech\B.S. candidates' entries with significant prior experience in the aforementioned fields will be considered.
- M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred.


Software Architect
Symbl is hiring a Software Architect who is passionate about leading cross-functional R&D teams. This role will serve as the Architect across the global organization driving product architecture, reducing information silos across the org to improve decision making, and coordinating with other engineering teams to ensure seamless integration with other Symbl services.
*Symbl is seeking for a leader with a demonstrated track record of leading cross-functional dev team, you are fit for the role if *
- You have a track record of designing and building large-scale, cloud-based, highly available software platforms.
- You have 8+ years of experience in software development with 2+ years in an architect role.
- You have experience working on customer-facing machine learning implementations (predictions, recommendations, anomaly detection)
- You are an API first developer who understands the power of platforms.
- You are passionate about enabling other developers through your leadership and driving teams to efficient decisions.
- You have the ability to balance long-term objectives with urgent short-term needs
- You can successfully lead teams through very challenging engineering problems.
- You are domain Expertise in one or more of: Data pipelines and workflow, telephony systems, real time audio and video streaming machine learning.
- You have bachelor's degree in a computer science-related field is a minimum requirement
- You’ll bring your deep experience with distributed systems and platform engineering principles to the table.
- You are passionate about operational excellence and know-how to build software that delivers it.
- You are able to think at scale, define, and meet stringent availability and performance SLAs while ensuring quality and resiliency challenges across our diverse product and tech stacks are addressed with NodeJs as mandatory, Java, Python, Javascript, ReactJS with intersection with ML platform + open source DBs.
- You understand end-user use cases and are driven to design optimal software that meets business needs.
Your day would look like:
- Work with your team providing engineering leadership and ensuring your resources are solving the most critical engineering problems while ensuring your products are scalable, performant, and highly available.
- Focused on delivering the highest quality of services, and you support your team as they push production code that impacts hundreds of Symbl customers.
- Spent time with engineering managers and developers to create and deliver critical new products and/or features that empower them to introduce change with quality and speed.
- Made sure to connect with your team, both local and remote, to ensure they are delivering on engineering and operational excellence.
*Job Location : Anywhere – Currently WFH due to COVID
Compensation, Perks, and Differentiators:
- Healthcare
- Unlimited PTO
- Paid sick days
- Paid holidays
- Flexi working
- Continuing education
- Equity and performance-based pay options
- Rewards & Recognition
- As our company evolves, so do our benefits. We’re actively innovating how we support our employees.


Advanced degree in computer science, math, statistics or a related discipline ( Must have master degree )
Extensive data modeling and data architecture skills
Programming experience in Python, R
Background in machine learning frameworks such as TensorFlow or Keras
Knowledge of Hadoop or another distributed computing systems
Experience working in an Agile environment
Advanced math skills (Linear algebra
Discrete math
Differential equations (ODEs and numerical)
Theory of statistics 1
Numerical analysis 1 (numerical linear algebra) and 2 (quadrature)
Abstract algebra
Number theory
Real analysis
Complex analysis
Intermediate analysis (point set topology)) ( important )
Strong written and verbal communications
Hands on experience on NLP and NLG
Experience in advanced statistical techniques and concepts. ( GLM/regression, Random forest, boosting, trees, text mining ) and experience with application.



- Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
- Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
- Own the end-end process, from recognizing the problem to implementing the solution.
- Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
- Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.
Skills and Qualification
- 12 to 15 yrs of experience.
- An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
- Experience with text mining, parsing, and classification using state-of-the-art techniques.
- Experience with information retrieval, Natural Language Processing, Natural Language
- Understanding and Neural Language Modeling.
- Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
- Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, sci-kit-learn, NLTK, Gensim, etc.
- Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
- Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.



Responsibilities:
- Writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performant applications
- Integration of user-facing elements developed by front-end developers with server side logic
- Implementation of security and data protection
- Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)
- Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)
- Familiarity with some ORM (Object Relational Mapper) libraries
- Able to integrate multiple data sources and databases into one system
- Understanding of the threading limitations of Python, and multi-process architecture
- Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)
- Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
- Understanding of accessibility and security compliance (depending on the specific project)
- Knowledge of user authentication and authorization between multiple systems, servers, and environments
- Understanding of fundamental design principles behind a scalable application
- Familiarity with event-driven programming in Python
- Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform
- Able to create database schemas that represent and support business processes
- Strong unit test and debugging skills
- Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.





