Senior Engineering Technician – Local AI Automation at NVIDIA

NVIDIA · Pune, India

📋 Job Details at a Glance 📍 Location Pune, India 🏢 Company NVIDIA 👥 Experience 4+ years 🎓 Qualification 4+ years. Hands-on with Python. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills debugging technical communication backend engineering hands-on coding Python Senior Engineering Technician – Local AI Automation at NVIDIA — Full Details & How to Apply NVIDIA is seeking a Senior Engineering Technician – Local AI Automation in Pune, India to maintain reliable AI systems and support lab operations. This role requires hands-on coding and debugging experience with Python , directly contributing to the operational readiness of AI automation infrastructure. This Senior Engineering Technician – Local AI Automation role is essential for ensuring infrastructure stability and resolving technical issues in real-time. The position involves backend engineering tasks, technical communication , and hands-on coding to maintain AI system performance. Candidates will work within a lab environment that validates AI development pipelines, where consistent system reliability is critical. NVIDIA recruitment for this role emphasizes technical operations within its Local AI Automation team. The job focuses on maintaining reliable AI systems through debugging and infrastructure management. The role is part of a dedicated team that supports AI development and validation, with responsibilities centered on operational excellence and system readiness. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must have 4+ years. Hands-on with Python. Relevant technical / engineering background and 4+ years experience . The salary for this position is Not Disclosed . Candidates will gain practical experience in debugging , technical communication , backend engineering , and hands-on coding using Python . This role provides exposure to real-world AI system operations and offers a pathway to deeper involvement in AI infrastructure roles, potentially leading to progression into engineering leadership positions. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No 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. Senior Engineering Technician – Local AI Automation jobs | NVIDIA recruitment | apply online | Pune, India jobs Job Role & Responsibilities The Senior Engineering Technician – Local AI Automation at NVIDIA ensures lab infrastructure reliability by executing system bring-up, maintaining automation pipelines, and resolving AI system faults using Python and debugging techniques. This role directly supports the operational efficiency of AI hardware testing environments through hands-on engineering execution. Lead system bring-up activities for AI lab operations using Python scripts to initialize and validate hardware-software integration workflows. Utilize Python for backend engineering tasks including API development, data pipeline scripting, and real-time monitoring of AI system performance metrics. Coordinate with multi-functional teams to resolve technical issues using technical communication to document fault reports and escalation paths in shared engineering tools. Monitor and maintain AI automation systems using debugging to identify root causes of system failures and track error logs in GitHub repositories. Take ownership of lab infrastructure maintenance, including physical and virtual system checks, with a focus on hands-on coding to patch and automate recurring tasks. Document operational procedures and process improvements in structured formats such as Confluence or Notion to support reproducibility and team onboarding. troubleshoot and resolve issues related to AI system performance using debugging and backend engineering to isolate faults in neural network inference pipelines. Implement automation scripts in Python to reduce manual intervention in lab operations, improving system uptime by at least 15% over baseline metrics. This role demands direct ownership of lab operations, where every action impacts system reliability , automation performance , and AI system uptime metrics in real-world testing environments. Required Skills & Technical Competencies The role requires a strong foundation in backend engineering , debugging , and hands-on coding with a focus on Python implementation in real-time AI lab environments. All technical competencies must be demonstrated through documented, executable code and system-level troubleshooting. Technical Skills Python — advanced — used for backend engineering tasks such as developing automation scripts, managing data pipelines, and integrating with AI inference systems. debugging — advanced — applied to identify and resolve faults in AI system operations, including error tracing in log files and system-level diagnostics . technical communication — intermediate — used to draft clear, actionable reports for cross-functional teams during incident resolution and process updates. backend engineering — advanced — applied in building and maintaining server-side services that manage AI test environments and resource allocation. hands-on coding — advanced — demonstrated through direct implementation of automation scripts, configuration tools, and fault recovery workflows in GitHub repositories. When preparing your resume or interview response, emphasize specific Python code examples, debugging workflows, and backend engineering projects that show measurable impact on system performance or reliability. Eligibility Criteria This role is designed for candidates with a technical or engineering background and at least 4 years of hands-on experience in software or systems engineering, particularly in AI or automation environments. Must hold a degree in engineering or a related technical field with a minimum 3.0 CGPA or equivalent academic performance. Eligible only for 2023, 2024, 2025, and 2026 batches. Must have 4+ years of relevant experience, including hands-on Python coding and system-level troubleshooting. Experience with GitHub repositories and backend engineering projects is required and must be clearly documented. No academic performance thresholds beyond CGPA are specified, but a solid technical foundation is essential. Portfolio or project documentation showing Python scripts, debugging logs, or automation workflows is expected. Documentation & Portfolio Requirements Your resume must include a dedicated section with GitHub links, Python code snippets, and debugging logs that demonstrate real-world backend engineering tasks and system troubleshooting outcomes. For this role, prioritize showcasing Python scripts that automate lab operations, debugging sessions with error logs, and backend engineering tasks that improved system performance or reduced downtime. Include GitHub links to live or archived projects with clear metrics and outcomes. Salary for Senior Engineering Technician – Local AI Automation at NVIDIA 💰 Compensation Not Disclosed The advertised compensation for the Senior Engineering Technician – Local AI Automation role at NVIDIA 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 Senior Engineering Technician – Local AI Automation Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with the job requirements. Recommended Courses & Resources technical communication — Essential for effective collaboration and conveying technical concepts clearly. Python — Crucial for hands-on coding and automation tasks in this role. KodNest — Provides practical experience in backend engineering and debugging . Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating hands-on experience with Python — Ensure your resume highlights relevant projects. ❌ Using a generic resume — Tailor your resume to the specific responsibilities outlined in the job description. ❌ Listing technologies like Python without detailing application — Provide context on how you used Python in previous roles. ❌ Ignoring the experience requirement of 4+ years — Clearly state your relevant experience to meet this criterion. ❌ Adding unrelated technologies or unsupported claims — Stick to technologies you can substantiate with experience. ❌ Not verifying the official Apply URL — Always check the URL and job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Senior Engineering Technician – Local AI Automation Optimizing your resume for ATS is crucial to ensure it passes initial screenings and reaches hiring managers. ATS Keywords to Include Python debugging technical communication backend engineering hands-on coding automation lab operations issue resolution system bring-up infrastructure maintenance performance monitoring collaboration Resume Tips for This Role Highlight your hands-on experience with Python prominently on your resume. Emphasize your experience with debugging and backend engineering in relevant projects. Showcase a project where you maintained or developed lab infrastructure or AI systems. Use exact keywords from the job description naturally to align with ATS requirements. Avoid adding unsupported technologies or experiences that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including unrelated work experiences or unsupported claims in your resume for this role. How to Apply for Senior Engineering Technician – Local AI Automation at NVIDIA Apply Now — NVIDIA Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — NVIDIA NexisGrow.com does not charge any fees for job applications. NVIDIA NVIDIA is a technology company based in Pune, India , operating in an onsite work mode. The company specializes in AI technologies that power the brains of computers, robots, and self-driving cars. This role is part of the Local AI Automation team, focused on lab operations and infrastructure readiness. The team works to scale and sustain a reliable automation lab for AI development and validation. Responsibilities include system bring-up, maintenance, debugging , and coordination with multi-functional teams to ensure operational excellence and infrastructure readiness. This role supports the company’s mission by enabling reliable AI systems through hands-on lab operations and backend engineering . It contributes directly to the development and validation of AI technologies that power real-world applications. Early-career professionals gain exposure to hands-on coding , backend engineering , and debugging using Python . This practical experience builds foundational skills in building and maintaining reliable AI systems through real-world lab environments. Company Details Industry Technology Location Pune, India Connect With Us Careers Apply Now Website 🔗 nvidia.wd5.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and at least 4 years of experience from the eligible batches of 2023, 2024, 2025, and 2026 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer The most important skills include Python, debugging, technical communication, and backend engineering. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review your hands-on experience with Python. 2. Prepare examples of debugging challenges you've faced. 3. Familiarize yourself with lab operations and AI systems. 4. Practice technical communication scenarios. 5. Research NVIDIA's role in AI development. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer The role is onsite in Pune, India. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to lab operations, AI system maintenance, and collaboration with multi-functional teams. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight your experience with Python, debugging, lab operations, and any relevant technical communication skills. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with engineers and multi-functional teams to ensure lab operations and infrastructure readiness. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the role requires at least 4 years of experience. 🔗 Explore More on NexisGrow More jobs in Pune Browse all Tech jobs Latest Fresher jobs More jobs at NVIDIA Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com