Imagination Technologies Hiring Graduate GPU Verification Engineer in Pune | Onsite
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Job description
What you’ll do in this role
Job Overview
Imagination Technologies is hiring a Graduate GPU Verification Engineer for its hardware engineering team in Pune, India. This early-career opportunity focuses on verifying and debugging complex hardware modules used in Graphics Processing Unit (GPU) intellectual property. The work supports the quality and correctness of silicon designs intended for mobile, smart and connected technologies.
The role involves working with design, verification and validation teams on silicon solutions. It offers exposure to verification planning, testbench development, debugging and modern verification methods. The company also describes an opportunity, during the first two years, to spend up to six months experiencing another department or technical domain.
Key Responsibilities
- Work with design, verification and validation teams on silicon design and verification activities.
- Assist in preparing design verification strategies and verification plans for hardware modules.
- Participate in technical reviews and share recommendations that may improve design and verification work.
- Develop, maintain and enhance testbenches used to verify hardware modules.
- Build debugging and bug-investigation skills while working on complex GPU IP.
- Use relevant verification techniques, tools and technologies as part of assigned engineering tasks.
- Plan and complete assigned work within agreed schedules and deadlines.
- Contribute to technical discussions and communicate verification findings clearly.
- Coordinate with cross-functional colleagues to share progress and maintain alignment.
- Contribute to learning activities, knowledge-sharing sessions and technical guidance for team members.
Required Technical Knowledge
- Digital Electronics: A strong understanding of digital electronics fundamentals is required.
- RTL design and verification: Some hands-on exposure to Register Transfer Level (RTL) design or verification at IP or System-on-Chip (SoC) level is expected.
- ASIC and FPGA environments: Candidates should have exposure to ASIC or FPGA design tools and environments.
- Analytical problem solving: The role requires the ability to analyse technical issues and investigate hardware verification problems.
- Communication: Good written and spoken English communication skills are expected for technical discussions and cross-team collaboration.
Preferred Skills and Technologies
The following skills are listed as additional advantages rather than mandatory requirements:
- SystemVerilog: Proficiency in SystemVerilog is listed as a useful programming skill.
- C and C++: Familiarity with C and C++ can support work in the hardware and verification environment.
- Python: Python proficiency is also listed among the desirable skills.
- SystemC: Exposure to SystemC is considered beneficial.
- UVM: Exposure to the Universal Verification Methodology is an advantage.
- Formal verification: Familiarity with formal verification methodologies is desirable.
- Assertions and coverage: Experience writing assertions and creating coverage bins can be useful.
- AI tools: Exposure to using AI tools to improve verification productivity is an advantage.
Education and Academic Eligibility
Applicants must have a B.E. or B.Tech in Electronics or Electronics and Telecommunication (E&TC) from a reputed institute or college. The stated academic criteria are a CGPA of at least 8 throughout the engineering programme, with no academic gap or ATKT, and an overall score of at least 80% in both 10th and 12th grades.
The posting is classified as an early-career opportunity and uses the title Graduate GPU Verification Engineer. It does not state a numerical years-of-experience range or explicitly say that candidates with no prior experience are eligible. It does, however, ask for some hands-on RTL design or verification experience and exposure to ASIC or FPGA tools.
Work Location and Interview Requirement
This position is based in Pune, India. Candidates are asked to apply only if they are comfortable working from the Pune location. Shortlisted applicants must attend an in-person, face-to-face interview. The posting does not specify a remote or hybrid arrangement, so the role is represented as onsite.
About Imagination Technologies
Imagination Technologies is a UK-based company that develops silicon and software intellectual property. Its GPU and AI technologies are designed to support performance, power efficiency and time-to-market for customers developing products for global technology markets. Products based on its IP are used in areas such as smartphones, vehicles, homes and workplaces.
Who Should Apply
This opportunity is relevant to engineering graduates who meet the specified Electronics or E&TC degree and academic requirements, and who have an interest in digital hardware, GPU IP and silicon verification. Candidates with exposure to RTL design or verification, ASIC or FPGA environments, and the preferred programming or verification technologies may find their background relevant.
Applicants should be comfortable collaborating across engineering teams, investigating technical issues, communicating findings and managing assigned tasks. Candidates must be willing to work from Pune and attend an in-person interview if shortlisted.
How to Apply
Review the degree, academic performance and technical exposure requirements before submitting an application through the employer's recruitment portal. The advertisement lists the vacancy as Graduate GPU Verification Engineer, Pune, India, with job number 502883. No application closing date is stated in the supplied posting.
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Eligibility
Education, passing batch and experience
Education
B.E. — Electronics and Communication Engineering / Electronics and Telecommunication Engineering · B.Tech — Electronics and Communication Engineering / Electronics and Telecommunication Engineering
Passing Batch
2026, 2025, 2024, 2023, 2022
Experience
Not specified (Freshers welcome)
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