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Weekend Software Engineer Gpu Jobs in New York (NOW HIRING)

As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications. You'll work in a fast-paced ...

Experience with HPC, GPU, or code profiling is required * Knowledge of software engineering practices for working in groups, including software development life cycles, coding standards, code review ...

Software Engineer

New York, NY · On-site

$100K - $250K/yr

Experience with HPC, GPU, or code profiling is required * Knowledge of software engineering practices for working in groups, including software development life cycles, coding standards, code review ...

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

New

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

New

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Weekend Software Engineer Gpu information

What is the difference between Weekend Software Engineer Gpu vs Weekend Software Engineer Cloud?

AspectWeekend Software Engineer GpuWeekend Software Engineer Cloud
Required CredentialsBachelor's in Computer Science or related, experience with GPU programmingBachelor's in Computer Science or related, experience with cloud platforms
Work EnvironmentOn-site or remote, focused on GPU hardware and softwareRemote or hybrid, focused on cloud infrastructure and services
Industry UsageGaming, AI, high-performance computingWeb services, SaaS, enterprise solutions
Search & Comparison IntentYesYes

The Weekend Software Engineer Gpu and Weekend Software Engineer Cloud roles share similar educational backgrounds and work environments but differ in focus areas. The GPU role emphasizes hardware acceleration and high-performance computing, while the Cloud role centers on cloud infrastructure and services. Both are in high demand and often compared by job seekers exploring flexible tech roles.

What are the most commonly searched types of Software Engineer Gpu jobs in New York?

The most popular types of Software Engineer Gpu jobs in New York are:

What cities in New York are hiring for Weekend Software Engineer Gpu jobs?

Cities in New York with the most Weekend Software Engineer Gpu job openings:

Software Engineer - GPU reliability

Hudson River Trading

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

Hudson River Trading (HRT) is seeking a Software Engineer focused on GPU reliability to join our Systems Development team. The Systems Development team builds and maintains the platform that is shared by all Systems teams to provision, monitor, and manage HRT's server and network infrastructure. In this role, your main focus will be to develop tools in Python to analyze the performance of GPU hardware and build creative solutions to improve observability, reliability, and efficiency of the fleet. You'll work closely with other engineering teams to deeply understand research and trading workflows and ensure that GPU infrastructure is utilized optimally. Strong Python skills and development experience are required, along with Unix experience and a background of managing GPU hardware at scale.

Responsibilities

This role offers a unique opportunity to make a significant impact on a critical part of our existing and growing infrastructure. Your responsibilities may vary day to day, but will include:

  • Building and maintaining tools and software features to automate systems engineering workflows related to GPU management, monitoring, metrics collection, maintenance, and network configuration
  • Troubleshooting software and hardware bugs on a fleet of GPU devices, including application, network, operating system, and/or kernel issues
  • Working across HRT's engineering teams to tune workloads and processes to use GPUs more efficiently 
  • Analyzing GPU job statistics to identify trends and areas for improvement

Qualifications

Required:

  • BS and/or MS in computer science or a related field
  • 2+ years of relevant experience, including programming in Python and managing GPUs
  • Experience using automation to solve problems and improve process efficiency
  • Experience working with, troubleshooting, tuning, and deploying various types of GPU hardware
  • Strong grasp of computer science fundamentals and software design patterns
  • Solid understanding of Linux/UNIX operating systems 
  • Familiarity with open-source software
  • Ability to debug and analyze problems quickly
  • Skilled at balancing multiple tasks while maintaining meticulous attention to detail
  • Ability to operate effectively as a team player and also work independently 
  • Ability to learn at a fast pace and apply new skills effectively

Preferred:

  • Understanding of Debian operating system
  • Familiarity with systems configuration management and monitoring technologies 
  • Familiarity with continuous integration and continuous deployment tools and processes
  • Understanding of networking protocols

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company's retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.