Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
Home View All Jobs (2,277,637)

Job Information

Amazon Software Development Engineer in Santa Clara, California

Description

AWS AI is looking for world-class software developers to join the Deep Learning cross-framework team. In this organization, you will be responsible for contributing extensions to PyTorch machine learning framework and for developing cross-framework solutions to support training of Deep Learning models at scale, involving thousands of accelerators. You will be working in a fast-paced, cross-disciplinary team of engineers and researchers who are leaders in the field. You will take on challenging problems, elicit requirements, and deliver innovative solutions into production that consolidate the AI team as thought leaders in the space.

Key job responsibilities

As a Software Development Engineer in the SageMaker Engines team, you will be responsible for:

  • Developing innovative solutions for supporting Large Language Model training in a cluster of nodes;

  • Implementing model parallelism methods such as pipeline and tensor parallelism as extensions to the PyTorch framework;

  • Implementing sharding of the model training state, activation checkpointing/offloading and other memory saving techniques;

  • Optimizing distributed training by profiling, identifying bottlenecks and addressing them by improving compute and network performance, as well as finding opportunities for better compute/communication overlap;

  • Optimizing communication collectives for the AWS network infrastructure;

About the team

The SageMaker Distributed Training team develops technology for supporting training of Deep Learning models at large scale. This entails implementation of model parallelism and memory saving techniques to allow training of models across accelerators as well as implementation of network communication collectives optimized for the AWS infrastructure.

We are open to hiring candidates to work out of one of the following locations:

Santa Clara, CA, USA

Basic Qualifications

  • 2+ 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

  • Experience programming with at least one software programming language

  • Bachelor's degree in computer science or equivalent

Preferred Qualifications

  • 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

  • M.Sc. or PhD Degree in computer science, engineering, statistics, mathematics or related field

  • Proficiency in the TensorFlow and/or PyTorch frameworks

  • Strong working knowledge of C++ programming language;

  • Strong working knowledge of Python programming language

  • Experience in developing highly scalable, fault-tolerant, distributed systems

  • Experience with multi-threaded asynchronous development in C+- Solid understanding of machine learning techniques and concepts

  • Experience with High Performance Computing systems

  • Experience with CUDA programming

  • Experience with Deep Learning models for Natural Language Understanding or Computer Vision tasks;

  • Experience with Linux kernel system calls or POSIX API (process control, communication, and device management)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

DirectEmployers