Cognos Developer jobs

What you’ll be doing:
As a Software Development Engineer in Test, you will take part in technical design and implementation of tests for NVIDIA software products with the goal to identify defects early in the software development lifecycle. You will also build tools that accelerate execution workflows for the organization. In this role you can expect to:

• Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems.

• Develop automated end to end tests for NVIDIA device driver and SDKs on windows platform. Execute manual and automated tests, identify, and report defects. Measure code coverage, analyze and drive code coverage improvements.

• Develop applications and tools that bring data driven insights to development and test workflows.

• Build tools/utility/framework inPython / C / C++ which would help automate and optimize the testing workflows in GPU domain.

• Write maintainable, reliable, and well detailed code. Debug issues to identify the root cause. Provide peer code reviews including feedback on performance, scalability, and correctness

• Optimally estimate and prioritize tasks in order to create a realistic delivery schedule and work on challenging technical and process issues.

• Generate and test compatibility across a range of products and interfaces.

• Work closely with leadership to report progress by generating effective and impactful reports

What we need to see:

• B.E./B. Tech degree inComputer Science/IT/Electronics engineeringwith strong academics or equivalent experience

• 5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts.

• Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.

• Good experience with using AI development tools for test plans creation, test cases development and test cases automation

• Experience with testing RESTful APIs and the ability to conduct performance and load testing to ensure the application can handle high traffic and usage.

• Experience working with databases and storage technologies like SQL and Elasticsearch

• Good understanding of OS fundamentals, PC Hardware and troubleshooting.

• Skillful at debugging issues and have experience using debugging tools like WinDBG/gdb

• The ability to collaborate with multiple development teams to gain knowledge and improve test code coverage

• Excellent written, verbal, analytical and problem-solving skills and ability to work with a team of engineers in a fast paced environment

Ways to stand out from the crowd:

• Prior project experience with building ML and DL based applications would be a plus

• Good understanding of testing fundamentals

• Good problem solving skills (solid logic to apply in isolation and regression of issues found).

What you'll be doing:

• Lead documentation planning and prioritization sessions with cross-functional partners, embedding documentation requirements into Product Sprint Goal PRDs from day one

• Manage documentation workflow using Kanban, maintaining clear ownership, dependencies, and status visibility while tracking delivery through sprint cycles and product releases

• Champion Context Kits (structured prompts and guidelines) that help distributed teams build quality documentation with AI assistance, streamlining reporting and revealing operational insights

• Report on critical metrics including coverage, cycle time, sprint predictability, and developer satisfaction, identifying blockers and resolving delivery impediments

• Work closely with Technical Program Managers to integrate documentation checkpoints into release trains, facilitating backlog refinement, stand-ups, and retrospectives

What we need to see:

• Bachelors Degree (or equivalent experience) with 8+ years in program management, technical operations, or agile delivery with strong proficiency in Jira, Confluence, and agile tracking tools

• Proven track record coordinating work across matrixed organizations with clear communication style—leading effective meetings, writing streamlined updates, and aligning collaborators

• Active AI tool user (ChatGPT, Claude, Copilot, or similar) who demonstrates data-driven decision-making and can influence without authority across Product, Engineering, Marketing, and Customer Success

Ways to stand out from the crowd:

• Experience coordinating developer documentation in platform or SaaS companies, working alongside Technical Program Managers in complex product organizations

• Hands-on experience with Agile/Scrum/Kanban, continuous delivery, and docs-as-code workflows (Git, Markdown, static site generators)

• Demonstrated process improvements that measurably boosted team efficiency, with knowledge of developer platforms, SDKs, APIs, or simulation technologies

• Background in gaming, graphics, AI, or high-performance computing with proven AI workflow optimization—status reports, meeting summaries, workflow analysis, documentation reviews

• Developed tailored GPTs, prompt libraries, Context Kits, or reusable templates that optimized team efficiency and content quality

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

What you'll be doing:

• Become a member of an Agile and multi-functional EDA software development team.

• Participates in the development of tools that enable industry leading PCB electrical design, physical layout, and SI capabilities, for our system designers throughout the company

• Leadership in this role involves assessing the requirements from the design community, build innovative solutions that continually improve our tools and processes.

What we need to see:

• BS CS/CE/EE or related field (or equivalent experience)

• 3+ years of meaningful work experience

• Proven history of delivering EDA / ECAD around Cadence System Capture and SPB Allegro Layout to aid system designers in sophisticated implementations.

• Cadence SKILL or other CAD-level programming experience

• System design and hierarchical sub-design

• Familiarity with automation within common operating systems (Windows/Linux)

• Experienced with databases (e.g.Oracle/MySQL/MongoDB)

• Proficiency in Python and TCL

• Good communication and documentation skills

Ways to stand out from the crowd:

• Experience in the Cadence’ System Capture TCL API

• Experience with a teamwork environment based on JIRA, Confluence, Git, CI, Perforce

• Knowledge/experience with PLM systems

• Knowledge in modern web technologies:JavaScript/TypeScript,

What you’ll be doing:

• Act as a technical advisor, collaborating with partner engineering teams on architecture, integration, and code for Isaac Sim, Isaac Lab, and AI-enabled robotics solutions.

• Build and maintain deep expertise in NVIDIA robotics SDKs, with a focus on simulation and robot learning.

• Track emerging trends in the robotics ecosystem to identify new opportunities.

• Co-design and deliver advanced robotic solutions with partners—defining objectives, architecture, milestones, and implementation plans.

• Create technical enablement resources, including sample code, reference architectures, integration guides, and workshops.

• Work closely with partner engineering leaders and decision-makers to identify challenges, recommend solutions, and drive adoption of NVIDIA robotic technology.

• Represent partner needs internally, providing feedback to NVIDIA’s product and engineering teams to influence future roadmaps.

• Support robotics startups with their synthetic data generation strategy.

• Support product launches and go-to-market activities with technical validation, demos, and customer-facing materials.

What we need to see:

• 6+ years in the technology industry, with at least 5 years in hands-on software development or engineering.

• Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field—or equivalent experience.

• Whole software development lifecycle experience—from requirements and design to testing, integration, and support.

• Technical background in at least one of: robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning.

• Expertise with robotics simulation tools (e.g., Gazebo, MuJoCo, Isaac Sim, Robot Studio).

• Fluency with NVIDIA Jetson compute platforms and the Jetpack SDK

• Experience leading technical workshops, code reviews, and architectural design sessions.

• Strong communication skills for technical and executive audiences.

• Ability to structure and deliver complex technical engagements.

Ways to stand out from the crowd:

• Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, OpenUSD, Cosmos).

• Recent hands-on experience with robot simulation tools.

• Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools.

• Experience in training computer vision and/or kinematic foundation models

• Proven success in growing developer ecosystems through technical enablement.