20 hours ago
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.
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