11+ GPU computing Jobs in Bangalore (Bengaluru) | GPU computing Job openings in Bangalore (Bengaluru)

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

equired Skills:

• 6–10 years of hands-on experience in C++ development for embedded or automotive systems.
• Strong knowledge of networking protocols: TCP/IP, UDP.
• Experience working with RTOS, bare-metal or Linux-based embedded environments.
• Exposure to Aerospace standards and development lifecycle (e.g., DO-178C, ARP4754) is a must.
• Good understanding of microcontroller/microprocessor architectures.
• Familiarity with version control (e.g., Git), debugging tools, and performance tuning.
• Excellent analytical, problem-solving, and communication skills.

Role Overview

We are seeking a proficient Full Stack Developer with expertise in Java and React.js / Angular to join our dynamic team. The ideal candidate will be responsible for developing and maintaining scalable web applications, ensuring seamless integration between front-end and back-end systems.

Key Responsibilities

• Develop and maintain web applications using Java (Spring Boot) and React.js/ Angular.
• Design and implement RESTful APIs and microservices.
• Collaborate with cross-functional teams to define and deliver new features.
• Ensure application performance, scalability, and security.
• Participate in code reviews and maintain code quality standards.

Required Skills

• Strong proficiency in Java, Spring Boot, and React.js / Angular.
• Experience with RESTful APIs and microservices architecture.
• Familiarity with HTML, CSS, JavaScript, and modern front-end frameworks.
• Knowledge of version control systems like Git.
• Understanding of Agile development methodologies.

Job Description:

We are seeking a skilled Quant Developer with strong programming expertise and an interest in financial markets. You will be responsible for designing, developing, and optimizing trading algorithms, analytics tools, and quantitative models. Prior experience with cryptocurrencies is a plus but not mandatory.

Key Responsibilities:

 • Develop and implement high-performance trading algorithms and strategies.

 • Collaborate with quantitative researchers to translate models into robust code.

 • Optimize trading system performance and latency.

 • Maintain and improve existing systems, ensuring reliability and scalability.

 • Work with market data, conduct analysis, and support trading operations.

Required Skills:

 • Strong proficiency in Python and/or C++.

 • Solid understanding of data structures, algorithms, and object-oriented programming.

 • Familiarity with financial markets or trading systems (experience in crypto is a bonus).

 • Experience with distributed systems, databases, and performance optimization.

 • Knowledge of numerical libraries (e.g., NumPy, pandas, Boost) and statistical analysis.

Preferred Qualifications:

 • Experience in developing low-latency systems.

 • Understanding of quantitative modeling and back testing frameworks.

 • Familiarity with trading protocols (FIX, WebSocket, REST APIs).

 • Interest or experience in cryptocurrencies and blockchain technologies.

Digital Marketing is a lot more than what it is usually portrayed as and we delve into “the lot more”for SMBs. we have grown well and what started as a small personal project a year ago has now grown into a family of 45+ clients and 8 smart people- all within a year! And guess what, we never spent a single penny on advertising! It was all referral and so you can imagine the quality of work that we have been doing.

Now, if you are someone who can fit in such a high performing environment, do read the job description very thoroughly and then apply!

Responsibilities

Be the primary point of contact for the clients.

Assist in creating a digital strategy for the clients. These are SMEs, hard on cash but high on hope so we have to be extra wise with what we suggest!

Get things done from the CG team. You see, since you will interact with the client, you will know what they want and you alone will have to make sure that the work gets done!

Advocate for the client to ensure that we’re not just checking off boxes in a task manager, but instead moving them forward and reaching their objectives (we call this Remarkable ROI)

Note: You’re not responsible to bring in new clients (this is not a sales position). You are responsible to keep and grow your clients with Remarkable Client Experiences, Remarkable Excellence, and Remarkable ROI and if that gets us Referrals- well nothing better than that!

Note: Our digital marketing projects include both “traditional” digital marketing such as SEO and Email Marketing/Whatsapp Marketing/Affiliate Marketing as well as web design & development projects. For this position though, we will stick to SEO/SMO/PPC

What we are looking for

Digital marketing experience (and most importantly, the ability to learn & grow, stay on top of current trends, and focus on results). Followed by…

Strong project management skills (aka, the ability to efficiently and effectively get things done yourself and through other people). Followed by….

Ability to provide remarkable client experiences.

Who we are not looking for

You’re busy, we’re busy. If you don’t meet these requirements, please focus on the other fish in

the sea. These are indeed requirements

Minimum of 1.5 years as a hands-on digital marketing professional

Minimum of 1 year as someone who has been interacting with the clients. If you have worked

in B2B, it would be great!

Digital Marketing & Web Design Project experience

A focus on the details (really… pay close attention to the details if you’d like to get an interview

for this position)

If You’re a Good Fit, You Probably

Thrive in a small and growing team (<10 people on our way to 20)

Do some sort of digital marketing (or learning) in your spare time… it’s not just a day-job for

you

Know how to work on Google Analytics, Tag Manager, Google Ads, Facebook Business

Manager, Instagram Marketing, Email Marketing Tools, Canva (just a little bit), WordPress,

Wix, and anything else that is relevant to digital marketing

Feel at home with spreadsheets and task management tools

Are comfortable with IM tools, email, video calls, and the phone but believe in the power of

minimising interactions.

BTW: when applying, use the passcode “WTH

• Be responsible for the research, design, development, and deployment of all products and platforms
• Proficient full stack web developer with experience in building large-scale applications.
• Ensure that the platform remains secure, scalable, sustainable.
• Set the bar for the quality of code, software engineering practices, communication skills, dealing with complexity and ambiguity.
• Hire all technical roles

JOB DESCRIPTION:. THE IDEAL CANDIDATE WILL:

• Ensure new features and subject areas are modelled to integrate with existing structures and provide a consistent view. Develop and maintain documentation of the data architecture, data flow and data models of the data warehouse appropriate for various audiences. Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling.

• Providing technical leadership to large enterprise scale projects. You will also be responsible for preparing estimates and defining technical solutions to proposals (RFPs). This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project Roles & Responsibilities.

ELIGIBILITY CRITERIA: Desired Experience/Skills:
• Must have total 5+ yrs. in IT and 2+ years' experience working as a snowflake Data Architect and 4+ years in Data warehouse, ETL, BI projects.
• Must have experience at least two end to end implementation of Snowflake cloud data warehouse and 3 end to end data warehouse implementations on-premise preferably on Oracle.

• Expertise in Snowflake – data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts
• Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features
• Expertise in deploying Snowflake features such as data sharing, events and lake-house patterns
• Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python
• Experience in Data Migration from RDBMS to Snowflake cloud data warehouse
• Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling)
• Experience with data security and data access controls and design
• Experience with AWS or Azure data storage and management technologies such as S3 and ADLS
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
• Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface
• Must have expertise in AWS or Azure Platform as a Service (PAAS)
• Certified Snowflake cloud data warehouse Architect (Desirable)
• Should be able to troubleshoot problems across infrastructure, platform and application domains.
• Must have experience of Agile development methodologies
• Strong written communication skills. Is effective and persuasive in both written and oral communication

Nice to have Skills/Qualifications:Bachelor's and/or master’s degree in computer science or equivalent experience.
• Strong communication, analytical and problem-solving skills with a high attention to detail.

About you:
• You are self-motivated, collaborative, eager to learn, and hands on
• You love trying out new apps, and find yourself coming up with ideas to improve them
• You stay ahead with all the latest trends and technologies
• You are particular about following industry best practices and have high standards regarding quality

Job Description:

Skills Required:

• Backend developer with hands-on programming experience in Node Js / Python / Golang
• Expertise in developing REST APIs with any backend framework using above languages.
• Expertise in system design & architecture patterns.
• Experience in building reusable code and libraries for future use.
• Experience in optimising application for maximum speed and scalability.
• Strong fundamentals in computer programming, data structure & algorithms.
• Exposure to AWS services like S3, CloudFront, CloudWatch, lambda & API gateway.
• Good understanding for SQL & NoSQL dB’s, preferably work experience with MongoDB.

• Proficient in algorithms and data structures.
• Having strong experience in designing data intensive and scalable systems.
• Comfortable with microservices based architecture.
• Knowledge of software engineering processes and unit testing.
• Past experience of mentoring a team of at least two people.
• Prior experience with both relational and non-relational databases.
• Prior experience with caching.
• Ability to debug and hotfix a problem with production in a swift amount of time.
• Communication skills.