Software Development Engineer

Annapurna Labs
Cupertino, CA, United States
12 days ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Compensation
$148,400.0
Working hours
Regular working hours
Job source

Tech stack

Testing (Software) Clean Code Principles C (Programming Language) Java (Programming Language) Artificial Intelligence Algorithm Design Amazon Web Services Automation of Tests C++ (Programming Language) Cloud Computing Profiling Code Review
+24 more
Computer Engineering Continuous Integration Data Structures Software Debugging Device Drivers Distributed Systems Emulators Firmware Hardware Design Python (Programming Language) Linux Kernel Object-Oriented Software Development Tensorflow Software Deployment Software Engineering System Programming Toolchain Rust (Programming Language) Pytorch Generative AI Information Technology Machine Learning Operations Software Version Control Programming Languages

Job description

Are you passionate about innovation? Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable projects in a collaborative team environment? Do you want to see your solutions directly impact millions of customers worldwide? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world’s most beloved brands. We’re looking for curious minds who think big and want to define tomorrow’s technology. At Amazon, you’ll grow into the high-impact contributor you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth., * Collaborate with cross-disciplinary teams that may include hardware design, firmware, compiler, runtime, and ML engineers to develop software that enables and optimizes custom ML accelerator silicon

  • Design, develop, and test software across the accelerator stack, including compiler toolchains, device drivers, runtime libraries, profiling tools, simulation frameworks, or chip validation infrastructure
  • Build scalable, high-performance systems supporting chip verification, silicon bring-up, or production ML inference/training workloads
  • Write clean, maintainable code (C, C++, Python, or Rust) following best practices for systems-level and performance-critical development
  • Develop CI/CD pipelines, test automation, and tooling to accelerate the hardware-software co-development lifecycle
  • Participate in code reviews, contribute to technical documentation, and leverage GenAI tools to enhance development productivity
  • Demonstrate operational excellence through monitoring, debugging, and resolving issues across hardware-software integration boundaries, including on-call responsibilities
  • Stay current with emerging technologies in ML accelerators, compiler optimization, computer architecture, and cloud-scale distributed systems

A day in the life As an Amazonian, you will be matched to a manager and a team, and will have the opportunity to influence the evolution of Amazon technology and work on critical projects early in your career. In addition to working on impactful projects, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in various activities. We give you the tools to own your projects and learn in a real-world settings.

Requirements

  • Currently has, or is in the process of obtaining a Bachelor’s degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related STEM field
  • Demonstrated experience with at least one programming language such as C, C++, Python, Rust, or Java
  • Demonstrated experience with one or more of the following: data structures, algorithm development, systems programming, or object-oriented design principles, * Previous technical internship(s) or demonstrated project experience in systems software, hardware-adjacent development, or ML infrastructure
  • Experience with one or more of the following: compiler design or optimization, computer architecture, device drivers or low-level systems programming, hardware simulation or emulation, ML frameworks (PyTorch, TensorFlow), performance profiling and analysis, Linux kernel or embedded systems, AI tools for development productivity, cloud platforms (preferably AWS), version control systems
  • Strong problem-solving skills with ability to debug across hardware-software boundaries
  • Excellent written and verbal communication skills
  • Basic understanding of the hardware development lifecycle (RTL design, verification, silicon bring-up, production deployment)
  • Demonstrated ability to learn and adapt to new technologies quickly

Benefits & conditions

The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits. Cupertino, CA, USA - 148,400.00 USD Annually

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