Amazon

Software Development Engineer, Generative AI, Annapurna Labs - Neuroboros Team

Amazon
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2 months ago
New York, NY, USAMid Level
H1B sponsor

Base Salary

$158k - $214k/yr

Responsibilities

  • Research and implement solutions that improve customer experiences.
  • Build AI agents and tools that accelerate migration, porting, and optimization of machine learning workloads on Amazon Neuron.
  • Develop and operate agentic evaluation frameworks, monitoring, and feedback loops for agent correctness, reliability, and continuous improvement.
  • Design, implement, test, deploy, and maintain highly available software that improves performance, durability, cost, and security.
  • Build always-on products and collaborate with software, science, AI services, partner, and customer teams.
  • Potentially contribute intellectual property through patents.

Requirements

  • At least 3 years of non-internship professional software development experience and 3 years of broad engineering experience.
  • At least 2 years of experience designing or architecting new and existing reliable, scalable systems.
  • At least 1 year of software development engineer or related occupational experience.
  • At least 1 year designing and developing large-scale, multi-tiered, multi-threaded, embedded, or distributed applications, tools, systems, or services using C#, C++, Java, or Perl.
  • At least 1 year of object-oriented design experience and computer science fundamentals including data structures and performance analysis with at least two programming languages.
  • Bachelor’s degree or foreign equivalent in computer science, engineering, mathematics, or a related field.
  • Hands-on Generative AI experience and proficiency in at least one programming language.
  • Experience with software engineering practices across the full software development life cycle, including coding, code reviews, source control, builds, testing, and operations.
  • Experience in ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or applied mathematics.
  • Preferred qualifications include machine learning or computational modeling experience, building AI agents for ML optimization, distributed inference or training, ML kernel optimization, open-source optimization communities, AWS services, and state-of-the-art machine learning technologies.

Benefits

  • Comprehensive medical, dental, vision, prescription, life, and AD&D insurance options.
  • Employee assistance, mental health support, medical advice line, and flexible spending accounts.
  • 401(k) matching, paid time off, and parental leave.
  • Adoption and surrogacy reimbursement coverage.
  • The role is based in New York, New York, and the posting lists annual base salary details; sign-on payments and restricted stock units may also be included.

Tech Stack

Categories

Amazon

About Amazon

10,000+ employees

Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.

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