SDE, Neuron Inference, Neuron Inference
Annapurna Labs (U.S.) Inc.
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This role on the market
132 open inference roles across 34 companies are on ApplySarthi right now, most of them in Bengaluru (3), Delhi NCR (2).
- Member of Technical Staff – AI Inference platform, featuresLyceum
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- Senior Machine Learning Engineer, LLM Inference OptimizationJobgether
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What inference roles keep asking for: LLMs (49%), Python (49%), Machine learning (36%), PyTorch (26%), System design (26%), Kubernetes (24%), AWS (23%), Observability (20%) — counted across their open postings here.
Software Development Engineer jobs in the United States · Software Development Engineer jobs in Seattle · Remote Software Development Engineer jobs · AWS jobs · C# jobs · C++ jobs · Java jobs
Annapurna Labs (U.S.) Inc. has 97 open roles listed here.
- ASIC Test Engineer, Annapurna Silicon Operations
- Product Development Engineer, Annapurna Labs Silicon Operations
- Senior Design Automation Engineer
- Lead Engineer for Manufacturing and Datacenter Lab, Trainium Manufacturing, Quality and Reliability
- Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for inference roles keep coming back to LLMs, Python, Machine learning, PyTorch. Practise those questions before you sit with Annapurna Labs (U.S.) Inc..
Questions you are likely to be asked
- Why do you want to join Annapurna Labs (U.S.) Inc.?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
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Practise the SDE, Neuron Inference, Neuron Inference at Annapurna Labs (U.S.) Inc. interview free →AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machinelearning accelerators. This role is for a senior software engineer in the Machine Learning Inference Applications Basic qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
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Check my match →Similar open roles
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Listed on amazon · posted 2026-09-09. ApplySarthi collects openings and links to application pages; the role is advertised by Annapurna Labs (U.S.) Inc., not by us.