📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Graphcore 👥 Experience Fresher 🎓 Qualification Any Graduate 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Software Engineering Hardware Engineering Silicon Engineering AI Machine Learning Programming Problem-Solving Technical Collaboration Project Ownership Graduate Programme at Graphcore — Full Details & How to Apply Graphcore is seeking fresh graduates for its Graduate Programme in Bengaluru, Karnataka, India , where you'll work on groundbreaking AI and Machine Learning technologies that are shaping the future of computing. This role offers a unique chance to dive into the rapidly evolving tech landscape, making it ideal for those eager to start their careers in a high-demand field. The Graduate Programme at Graphcore is crucial as the demand for AI solutions continues to surge. With the technology sector increasingly focusing on AI and Machine Learning, this role positions freshers to be at the forefront of innovation, contributing to solutions that enhance computational efficiency across various industries, including healthcare and finance. Graphcore is an employer due to its innovative IPU technology, which has revolutionized AI processing since its founding in 2016 . With over 500 employees , Graphcore fosters a culture of collaboration and technical excellence, making it an attractive destination for fresh graduates looking to make their mark in technology. This opportunity is open to 2024, 2025, 2026 graduates from Any Graduate background, welcoming those with Fresher experience . While the salary is Not Disclosed , the potential for growth in this role is significant, given the skills and experience you will gain. As part of the Graduate Programme , you will develop essential skills in Software Engineering , Hardware Engineering , Silicon Engineering , AI , Machine Learning , and Programming . This comprehensive skill set not only enhances your employability but also opens doors to advanced roles in technology, paving the way for a robust career trajectory. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Graduate Programme at Graphcore is to develop innovative software solutions that leverage AI technologies, enhancing performance and scalability for cutting-edge applications. Develop and optimize software solutions for AI applications using Python , ensuring high performance and scalability in line with industry standards. Collaborate with hardware engineers to integrate software with Graphcore's IPU technology , enhancing overall system efficiency and functionality. Work alongside cross-functional teams, including data scientists and product managers, to deliver impactful AI solutions that meet client needs. Analyze performance metrics of AI models to identify areas for improvement and implement data-driven enhancements effectively. Take ownership of projects from conception to deployment, ensuring timely delivery and adherence to quality standards throughout the process. Document technical processes and project updates using tools like Confluence to facilitate knowledge sharing within the team. Engage in problem-solving sessions with clients to tailor AI solutions that meet specific business needs and challenges. At Graphcore , we foster an ownership culture where every team member's contributions directly impact the success of our AI initiatives and client satisfaction. Required Skills & Technical Competencies The ideal candidate for the Graduate Programme at Graphcore should possess a robust skill set in software and hardware engineering, particularly in the context of AI and machine learning . Technical Skills Software Engineering — entry — Essential for developing applications that leverage AI technologies, requiring a solid understanding of programming principles. AI and Machine Learning — entry — Practical application involves using frameworks like TensorFlow or PyTorch to build and optimize models effectively. Programming — entry — Proficiency in languages such as Python or C++ is essential, with expectations for practical coding skills demonstrated through projects. Problem-Solving — entry — Critical for addressing challenges in AI model performance and ensuring effective solutions are implemented. Technical Collaboration — entry — Ability to work with diverse teams, requiring strong communication skills and familiarity with tools like JIRA . When showcasing these technical skills in your resume or interview, emphasize your hands-on experience with relevant tools and technologies, as well as specific projects that demonstrate your capabilities. Eligibility Criteria This role is designed for recent graduates eager to start their careers in technology, particularly those with a strong foundation in engineering or computer science. Any graduate degree is accepted, particularly in engineering, computer science, or related fields. Eligible batches include 2024 , 2025 , and 2026 graduates, allowing freshers ample time to prepare. No prior experience is required, making it an ideal entry point for fresh graduates. A minimum academic performance of 60% is preferred, ensuring candidates have a solid understanding of their field. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is clear and concise, including your educational background, relevant projects, and any technical skills. Highlight your hands-on experience with specific tools and technologies. Pro tip: Tailor your application to emphasize your experience with AI frameworks and programming languages, as these are critical for the Graduate Programme at Graphcore . Salary for Graduate Programme at Graphcore 💰 Compensation Not Disclosed The advertised compensation for the Graduate Programme role at Graphcore is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Graduate Programme Upskilling with the right resources significantly enhances your chances of selection for the Graduate Programme at Graphcore . Recommended Courses & Resources Silicon Engineering — This course provides essential knowledge in silicon design, crucial for hardware roles. Machine Learning — Understanding ML algorithms is vital for AI-focused positions at Graphcore . KodNest — This program enhances programming skills, aligning with the software engineering requirements. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Neglecting to tailor your resume for the specific role — Customize your resume for each application. ❌ Failing to highlight relevant projects or skills — Showcase your most pertinent experiences clearly. ❌ Overloading the resume with jargon — Use clear language and demonstrate practical applications. ❌ Ignoring the importance of a cover letter — Write a compelling cover letter to express your enthusiasm. ❌ Submitting applications without proofreading — Always check for errors before sending. ❌ Not following up on your application status — Show interest by checking in after a week. Before You Apply — Checklist ✅ Research Graphcore 's products and culture to tailor your application effectively. ✅ Prepare a targeted resume that highlights relevant skills and experiences. ✅ Gather any necessary documents, such as transcripts or portfolios, before applying. ✅ Complete the online application form thoroughly, ensuring all fields are filled out accurately. ✅ Double-check your resume and cover letter for any errors before submission. ✅ Set reminders to follow up on your application status after a week. ✅ Prepare for potential interviews by practicing common technical questions. ✅ Network with current or former employees to gain insights into the company. Resume Tailoring & ATS Keywords for Graduate Programme Optimizing your resume for ATS is crucial for standing out in the selection process for the Graduate Programme at Graphcore . ATS Keywords to Include Software Engineering AI Machine Learning Programming Problem-Solving Technical Collaboration Project Ownership Hardware Engineering Silicon Engineering Data Analysis Cross-Functional Teams Performance Metrics Resume Tips for This Role Highlight relevant projects that demonstrate your skills in software engineering and AI applications. Emphasize teamwork and collaboration experiences, particularly in technical settings. Include links to your portfolio or GitHub to showcase practical coding skills and projects. Optimize your resume for ATS by including keywords from the job description. Avoid including unrelated work experience that does not showcase your technical abilities. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic skills that do not relate to the specific requirements of the role. How to Apply for Graduate Programme at Graphcore Apply Now — Graphcore Visit the application portal and create an account to start your application. Upload your resume, ensuring it is tailored to highlight relevant skills for the role. Fill out the application form with accurate personal and educational details. After submission, expect a confirmation email and keep an eye on your application status. Use the application tracking feature to monitor your progress and any updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Graphcore NexisGrow.com does not charge any fees for job applications. Graphcore Graphcore was founded in 2016 and is headquartered in Bristol, UK . With a significant presence in Bengaluru , Austin , and London , the company boasts a global footprint that enhances its ability to innovate in the technology sector. As of now, Graphcore employs over 500 professionals across its locations, showcasing its rapid growth and expansion. The core product of Graphcore is its Intelligence Processing Unit (IPU) , specifically designed for AI workloads. This technology differentiates Graphcore from traditional computing solutions, enabling faster and more efficient processing. Additionally, the company offers a robust software stack, including the Poplar SDK , which supports developers in harnessing the full potential of its hardware. Graphcore has received multiple accolades for its innovative technology and workplace culture, including a high rating on Glassdoor for employee satisfaction. The company actively promotes a culture of collaboration and technical excellence, providing various employee programs that foster professional growth and development. This commitment to a positive work environment has earned Graphcore recognition as one of the best places to work in tech. Recently, Graphcore secured significant funding of $222 million to expand its operations and enhance its technology offerings. This investment reflects strong investor confidence in the company’s vision and growth potential. The funding will be utilized to accelerate the development of its next-generation IPUs and expand its global reach. For freshers in technology, Graphcore offers a unique career launchpad. Working with cutting-edge technology in AI and machine learning, new graduates can gain invaluable experience in software and hardware engineering. The company’s focus on innovation and collaboration provides an ideal environment for young professionals to develop their skills and contribute to groundbreaking projects. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 job-boards.greenhouse.io Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Graduate Programme at Graphcore? Eligibility Tap to expand + Answer Candidates with Any Graduate and Fresher experience are eligible. Eligible batches: 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Software Engineering, Hardware Engineering, Silicon Engineering, AI, Machine Learning. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: Not Disclosed. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Graphcore? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Software Engineering, Hardware Engineering, Silicon Engineering, AI, Machine Learning. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Graduate Programme interview? Preparation Tap to expand + Answer (1) Core concepts of Software Engineering, Hardware Engineering, Silicon Engineering, AI, Machine Learning, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Graphcore research, (5) Clear communication. ? What is the work culture like at Graphcore? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Graphcore Work From Home jobs Ready to Apply? Don't Miss This Opportunity! 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