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Annapurna Labs (U.S.) Inc.

Annapurna Labs (U.S.) Inc.

www.amazon.jobs

5 Jobs

197 Employees

About the Company

At Annapurna Labs we are inventing the next generation of cloud computing infrastructure and the compute/machine learning/storage/networking industry as a whole. Join us!, we have many open positions to fuel the growth of the cloud. https://www.amazon.jobs/en/landing_pages/annapurna%20labs

Listed Jobs

Company background Company brand
Company Name
Annapurna Labs (U.S.) Inc.
Job Title
Senior Hardware Engineer - Interconnects, Annapurna Labs
Job Description
**Job Title** Senior Hardware Engineer – Interconnects **Role Summary** Lead end‑to‑end design, evaluation, and release of high‑speed server backplane and cable interconnect solutions for AWS compute systems, focusing on PCIe, SerDes, signal integrity, power integrity, and thermal performance. **Expectations** * Deliver high‑performance, cost‑effective interconnect architectures that meet AWS datacenter specifications. * Apply signal integrity principles to optimize high‑speed links, minimize EMI/EMC, and ensure robust field reliability. * Drive manufacturing processes, DFM, and vendor relationships to meet launch schedules. * Provide technical leadership and mentorship to cross‑functional teams. **Key Responsibilities** * Design, evaluate, and certify server backplane and cable interconnects for high‑performance compute platforms. * Develop and validate high‑speed connectors: definition, selection, 3‑D modeling, simulation, and mechanical integration. * Collaborate with electrical, mechanical, and system architects to fulfill SI, PI, and thermal requirements. * Manage vendor relations: specification alignment, technical reviews, performance validation, and manufacturing support. * Apply signal‑integrity analysis to reduce EMI/EMC and optimize link performance. * Drive connector and cable manufacturing: DFM, tooling, assembly techniques, and quality control. * Conduct failure analysis, root‑cause investigations, and field resolution for interconnect systems. * Leverage high‑speed PCB design experience as a plus. **Required Skills** * Proven experience in high‑speed interconnect and cable design (PCIe, SerDes). * Proficiency in signal‑integrity analysis tools (e.g., 30‑16x30 dB). * Strong knowledge of power‑integrity, thermal management, and mechanical integration. * Expertise in 3‑D modeling, simulation, and DFM for connectors and cables. * Vendor management and manufacturing process experience. * Solid troubleshooting and failure‑analysis skills in high‑speed interconnects. * Excellent communication and cross‑functional collaboration. **Required Education & Certifications** * Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related discipline. * Professional certifications in signal‑integrity, high‑speed design, or related fields are a plus.
Austin, United states
On site
Senior
24-12-2025
Company background Company brand
Company Name
Annapurna Labs (U.S.) Inc.
Job Title
Senior Product Manager - Kernels, AI/ML, Annapurna Labs
Job Description
**Job title** Senior Product Manager – Kernels, AI/ML **Role Summary** Lead product strategy and roadmap for a compiler library that enables custom kernel development and optimization on machine learning acceleration hardware. Own all stages from customer‑driven requirement definition to feature delivery, collaborating closely with engineering leaders, developers, and external partners to enhance developer experience and performance of ML workloads. **Expectations** - Drive product vision, roadmap, and execution in a fast‑paced, ambiguous environment. - Translate customer needs into clear, actionable product specifications and user stories. - Influence engineering decisions, technology direction, and cross‑component alignment. - Own feature prioritization, risk assessment, and stakeholder communication, including executive‑level procurement. - Represent the product at industry events and engage with ecosystem partners. **Key Responsibilities** - Define and execute product strategy and roadmap based on customer requirements. - Assess technical implications of architecture and optimization decisions. - Foster technical alignment across kernel library components, workflows, and interdependencies. - Partner with software engineering teams to scope, develop, and ship new features. - Produce concise documentation (PRFAQ, PRD) and user stories that validate developer needs. - Drive discussions with customers, engineering, and stakeholders to refine features and priorities. - Anticipate bottlenecks, manage risks, and balance technical constraints with business goals. - Identify and champion opportunities for innovation and improved developer experience. - Build and maintain ecosystem partnerships; stay current on industry trends. - Represent the product in relevant conferences and technical forums. **Required Skills** - Proven track record of steering product strategy and owning roadmaps in complex technical environments. - Deep understanding of compiler technologies, computer architecture, and ML systems. - Ability to evaluate technical trade‑offs and communicate implications to non‑technical stakeholders. - Strong product sense for developer experience; experience writing user stories and validating features. - Excellent cross‑functional collaboration and influence skills; adept in engineering discussions. - Demonstrated success delivering results in high‑velocity, early‑stage programs with ambiguity. - Experience with ML frameworks, model architectures, and distributed computing is highly valuable. - Familiarity with modern software development practices and open‑source collaboration. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Electrical Engineering, or related technical field (or equivalent practical experience). ---
Cupertino, United states
On site
Senior
24-12-2025
Company background Company brand
Company Name
Annapurna Labs (U.S.) Inc.
Job Title
Software Development Manager, LLM Inference Model Enablement, Neuron
Job Description
**Job Title:** Software Development Manager, LLM Inference Model Enablement, Neuron **Role Summary:** Lead a team of AI/ML engineers to onboard and optimize state‑of‑the‑art open‑source and customer large language models (dense and mixture‑of‑experts) for inference on AWS Neuron, Trainium, and Inferentia accelerators. Drive faster model enablement, improve inference usability and quality, and deliver infrastructure, tooling, and automation enhancements across the end‑to‑end stack (PyTorch, Neuron compiler, runtime, collectives). **Expectations:** - Manage rapidly shifting priorities as new models and technologies emerge. - Collaborate with senior technical and product leadership to define enablement and performance strategies. - Mentor, recruit, and grow a high‑performing engineering team. - Communicate requirements and roadmap to stakeholders and senior leadership. **Key Responsibilities:** - Define and execute model enablement and performance‑optimization plans for the latest SOTA LLMs. - Lead the onboarding, tuning, and deployment of dense and MoE LLMs on Neuron/Trainium/Inferentia. - Improve model onboarding experience, inference usability, and quality through feature development, infrastructure optimization, and automation. - Resolve complex technical challenges by diving deep into compiler, runtime, and distributed inference layers. - Partner with product and program management to align engineering output with customer needs. - Recruit, hire, coach, and evaluate software engineers; foster continuous skill development. **Required Skills:** - 7+ years of hands‑on software engineering experience, preferably in AI/ML systems. - 3+ years of engineering team management experience. - Deep knowledge of LLM architectures, performance optimization, and inference techniques (including distributed inference libraries). - Proficiency with PyTorch inference, AWS Neuron compiler/runtime, and collective communication primitives. - Strong problem‑solving, architectural design, and scalability expertise. - Excellent communication skills for cross‑functional collaboration and stakeholder engagement. - Experience recruiting, mentoring, and building effective software engineering teams. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field (advanced degree preferred). - No specific certifications required.
Cupertino, United states
On site
Senior
14-01-2026
Company background Company brand
Company Name
Annapurna Labs (U.S.) Inc.
Job Title
Senior Post-Silicon Systems Validation Engineer, Annapurna Labs
Job Description
Job title: Senior Post‑Silicon Systems Validation Engineer Role Summary: Lead the validation of next‑generation machine learning accelerator silicon, PCB, and system‐to‐system interfaces. Develop and execute comprehensive validation plans, identify performance bottlenecks, and collaborate with design, software, and architecture teams to deliver production‑ready, high‑quality ML acceleration products for data center use. Expectations: - 5+ years of hands‑on validation engineering, including system test development and automated deployment workflows. - Proven ability to design and maintain validation infrastructure and metrics. - Strong mentorship aptitude for guiding junior engineers. Key Responsibilities: - Architect end‑to‑end validation strategies for silicon, board, and system levels, covering HBM, PCIe, chip‑to‑chip, and inter‑system communications. - Create and execute detailed validation plans covering functional, performance, and regression testing. - Debug hardware/software issues, report findings, and work with cross‑functional teams to resolve design bottlenecks. - Maintain validation schedules, track progress metrics, and communicate status to stakeholders. - Continuously refine validation methodologies and tooling to support scale and new technologies. Required Skills: - Proficiency in at least one programming language (e.g., Python, C/C++). - Experience with Linux environments and Git version control. - Knowledge of server hardware, debug tools (e.g., oscilloscopes, logic analyzers, JTAG). - Familiarity with CI/CD pipelines and automated test orchestration. - Ability to analyze and interpret performance data, and translate findings into actionable design improvements. Required Education & Certifications: - Bachelor’s degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or related field. - Certifications in test and validation methodologies (e.g., ISTQB, IEEE, or equivalent) are a plus. ---
Austin, United states
On site
Senior
14-01-2026