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We are hiring a Principal Engineer – Physical Design to lead end-to-end implementation of advanced-node SoCs (7nm and below), from RTL to GDSII.

Key Responsibilities:

• Lead SoC / full-chip physical design and integration
• Drive floorplanning, partitioning, and P&R (APR)
• Define chip-level architecture for performance, power, and area
• Own clocking strategy, power planning, and dataflow
• Handle IO ring design, bump planning, and package co-design
• Ensure physical verification closure (DRC, LVS, DFM)
• Develop and own P&R flows and methodologies
• Collaborate with cross-functional teams (architecture, RTL, packaging)
• Mentor junior engineers and lead execution

Requirements:

• 15+ years in VLSI Physical Design
• Experience in 7nm or below technology nodes
• Strong expertise in floorplanning, STA, and P&R
• Hands-on with tools like ICC2 / Innovus / PrimeTime
• Experience in full-chip SoC tape-outs
• Strong understanding of ESD, latch-up, and foundry rules
• Experience with package integration and RDL is a plus

The Knowledge Graph Architect is responsible for designing, developing, and implementing knowledge graph technologies to enhance organizational data understanding and decision-making capabilities. This role involves collaborating with data scientists, engineers, and business stakeholders to integrate complex data into accessible and insightful knowledge graphs.

Work you’ll do

1. Design and develop scalable and efficient knowledge graph architectures.

2. Implement knowledge graph integration with existing data systems and business processes.

3. Lead the ontology design, data modeling, and schema development for knowledge representation.

4. Collaborate with IT and business units to understand data needs and deliver comprehensive knowledge graph solutions.

5. Manage the lifecycle of knowledge graph data, including quality, consistency, and updates.

6. Provide expertise in semantic technologies and machine learning to enhance data interconnectivity and retrieval.

7. Develop and maintain documentation and specifications for system architectures and designs.

8. Stay updated with the latest industry trends in knowledge graph technologies and data management.

The Team

Innovation & Technology anticipates how technology will shape the future and begins building future capabilities and practices today. I&T drives the Ideation, Incubation and scale of hybrid businesses and tech enabled offerings at prioritized offering portfolio and industry interactions.

It drives cultural and capability transformation from solely services – based businesses to hybrid businesses. While others bet on the future, I&T builds it with you.

I&T encompasses many teams—dreamers, designers, builders—and partners with the business to bring a unique POV to deliver services and products for clients.

Qualifications and Experience

Required:

1. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

2. 6-10 years of professional experience in data engineering with Proven experience in designing and implementing knowledge graph systems.

3. Strong understanding of semantic web technologies (RDF, SPARQL, GraphQL,OWL, etc.).

4. Experience with graph databases such as Neo4j, Amazon Neptune, or others.

5. Proficiency in programming languages relevant to data management (e.g., Python, Java, Javascript).

6. Excellent analytical and problem-solving abilities.

7. Strong communication and collaboration skills to work effectively across teams.

Preferred:

1. Experience with machine learning and natural language processing.

2. Experience with Industry 4.0 technologies and principles

3. Prior exposure to cloud platforms and services like AWS, Azure, or Google Cloud.

4. Experience with containerization technologies like Docker and Kubernetes

The Impact you will create on the Job

Understand and handle deploying, troubleshooting issues with Compute, Networking, Storage, Database services on AWS & Azure.
IT experience in a team handling the cloud, infrastructure and Linux, Windows operating systems.
Working on  different services in AWS & Azure Cloud Platform
In depth knowledge of a wide range of AWS & Azure services in Compute, Storage, Networking, Infrastructure as a code, Serverless computing, IAM, CI/CD pipelines
Possess a thorough understanding of Internet based technologies (DNS, Security, IP Routing, SSH, FTP, HTTP/HTTPS etc.)

Position: Learning & Development Partnerships Management Specialist

Location: Bangalore onsite

Employment Type: Full-Time

Openings: 1

Role Summary:

We are seeking a dynamic and proactive specialist to lead our partnerships within the Learning & Development (L&D) ecosystem. This role involves building and managing strategic collaborations with freelance trainers, training vendors, LMS platforms, and other related partners to support the delivery of high-quality training programs globally.

Key Responsibilities:

• Expand and maintain a global pool of freelance trainers across various domains and geographies.
• Identify, engage, and manage relationships with training partners for co-delivery and service collaboration.
• Negotiate contracts, onboarding, and fee structures with trainers and service providers.
• Source and coordinate with vendors for auxiliary requirements such as training venues, content providers, and technology solutions.
• Ensure alignment of partner capabilities with organizational training needs and quality standards.
• Maintain an up-to-date database of partners and vendors with regular performance reviews.

Qualifications:

• Minimum 4 years of experience in partnerships, vendor management, or trainer relationship roles—preferably within the L&D or training industry.
• Proven experience in sourcing, evaluating, and onboarding trainers and vendors.
• Strong negotiation and contract management skills.
• Familiarity with Learning & Development trends, delivery formats, and tools (LMS, virtual platforms, etc.).
• Excellent communication, coordination, and stakeholder management skills.

Key Skills:

• Trainer and vendor sourcing
• Contract negotiation
• Partnership management
• Knowledge of L&D and training operations
• Communication & relationship building
• Attention to detail & organizational skills
• Strategic thinking and problem-solving

As a Full Stack Developer, you'll be instrumental in shaping the future of AI assistants for data teams and understanding the intricacies of Large Language Models (LLMs) to optimise their usage across multiple use cases. Utilising Django, you'll architect backend infrastructures optimised for handling data processes and LLM interactions. Your role involves building APIs with the Django Rest Framework. With React, you'll design user-centric interfaces that seamlessly integrate with our AI assistants, ensuring that data teams have an intuitive experience. Working at the forefront of AI revolutions and pushing the boundaries of what AI can achieve in data management and analysis.

Responsibilities:

• Back-end Development: Utilise Django to architect robust back-end infrastructures. Ensure they are tailored for complex data processes and seamless LLM interactions.
• API Design: Craft efficient and scalable APIs using the Django Rest Framework.
• Front-end Development: Transform UI/UX designs into functional web pages using React. Prioritise performance and deliver seamless user experiences.
• AI Integration: Design user interfaces that flawlessly integrate with our LLMs, and AI assistants, aiming to offer data teams an intuitive and efficient interaction.
• Innovation: Stay abreast of AI advancements. Push boundaries and explore new possibilities in data management and analysis using AI.

Requirements:

• Pre-requisite Tech Stack: Python, Django, React, Springboot, CSS, and SQL
• Previous work experience with a start-up or similar setting is preferred
• Having an interest in system architecture design

What you need to have:

• 2 to 6 years of strong hands-on experience building applications on the web platform with JavaScript, HTML, and CSS
• Experience in building responsive web apps using JavaScript
• Strong understanding of the latest JavaScript ES6+ concepts such as Promises, OOPs, Scoping, etc
• Strong hands-on experience in building SPAs using React JS and its companion libraries
• Experience with build tools such as Webpack, Grunt, Gulp etc
• Knowledge of state management libraries such as Redux, Flux, Context API, etc
• Strong debugging skills using browsers dev tools and familiarity with cross-browser support
• Familiarity with API dev tools such as Postman
• Knowledge of RESTful APIs
• Showcase your interest in front-end either by your side projects in your GitHub or an interesting story to tell
• Knowledge of the latest web technologies such as Service workers/PWAs will be a huge plus
• Knowledge of Server-side rendering using React
• Knowledge of CSS pre-processors
• Knowledge of testing framework like Jest, Mocha, etc

• Deliver features in an end-to-end manner: technical design, development, testing, deployment, and maintenance.
• Provide technical leadership and own specific areas of the platform.
• Work closely with Product Managers to translate product requirements to engineering specifications.
• Lead code review efforts and quality efforts in your area of ownership.
• Participate in product discussions, taking ownership and initiative.
• Work independently in a fast-paced environment.
• Mentored and guide junior engineers.

Must Haves:

• Minimum 2 years of working experience in Ruby on Rails/ Python/ Node.JS.
• Strong problem-solving skills, data structures, and algorithms.
• Excellent experience on databases like MySQL, PostgreSQL, etc.
• Familiarity with tools for code reviews, version control (GIT).
• A knack for writing clean, readable Ruby/ Python/Node.JS code.
• Experience in application server hosting and monitoring.
• Understanding of fundamental design principles behind a scalable application.

Nice to Have:

• Hands-on with search platforms (Solr, Elasticsearch, etc).
• Prior experience with microservices-based architecture/SOA/distributed systems.
• Able to implement automated testing platforms and unit tests.
• Experience with common AWS service EC2, RDS, S3, SES, etc.

Key Competencies:

• Building Effective Team
• Solving Problems Creatively
• Learning Agility
• Drive For Result

• Strong technical knowledge in software, hardware, and networking
• Prior experience in Customer service or call center environment
• IP protocol and network experience highly desirable
• Working knowledge of NetApp technical systems (6 months or more)
• Strong understanding of computing technology including hardware components, data storage, operating systems, software applications, common peripheral devices, and external connectivity
• Sound problem solving skills with linear and logical troubleshooting skills
• Process knowledge, assessment, design and documentation skills
• Strong oral and written communication skills
• Solid analytical, technical, and project management skills
• Must have proficiency with various software applications including Microsoft Office (Word, Excel, PowerPoint, Outlook)
• Ability to work independently with minimal supervision
• Must be available weekends
• Languages: B2 English

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.

The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, Python analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the Python community to understand the problems with static analysis tools in the ecosystem.

• Identify bad code practices in Python and write new analyzers to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 2 years of professional software development experience in Python.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with Python best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.

About the company: