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Temporary Software Engineer Gpu Jobs in New York

Baseten

Software Engineer - GPU Kernels

New York, NY · On-site

$180K - $360K/yr

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 ...

New York University

Software Engineer

Manhattan, NY · On-site

... GPU, or code profiling is required • Knowledge of software engineering practices for working in groups, including software development life cycles, coding standards, code review, and version ...

CoreWeave

Staff Software Engineer, MetalDev

New York, NY · On-site

$207K - $275K/yr

Design, build, and operate Go-based services that manage the lifecycle of large-scale GPU data ... software engineering experience with a strong focus on infrastructure, cloud engineering, and ...

United Airlines

GPU Software Engineer (C++)

Manhattan, NY · On-site

$65K - $169K/yr

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve ...

YO AI Labs

GPU Programmer - Remote

New York, NY · Remote

$60 - $85/hr

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 ...

CoreWeave

Staff Software Engineer, MetalDev

New York, NY · On-site

$207K - $275K/yr

Design, build, and operate Go-based services that manage the lifecycle of large-scale GPU data ... software engineering experience with a strong focus on infrastructure, cloud engineering, and ...

CoreWeave

Staff Software Engineer, MetalDev

New York, NY · On-site

$207K - $275K/yr

Design, build, and operate Go-based services that manage the lifecycle of large-scale GPU data ... software engineering experience with a strong focus on infrastructure, cloud engineering, and ...

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Temporary Software Engineer Gpu information

What does a temporary software engineer GPU do?

A Temporary Software Engineer GPU is responsible for designing, developing, and optimizing software that interacts with graphics processing units (GPUs), typically for a specific project or short-term period. Their duties may include writing code to improve GPU performance, working on graphics or compute-intensive applications, and collaborating with hardware and software teams to ensure efficient GPU utilization. These roles are often contract-based and require strong programming skills in languages such as C++ or CUDA, as well as a solid understanding of GPU architectures.

What are the typical projects a temporary software engineer GPU might work on, and how do they collaborate with permanent team members?

As a Temporary Software Engineer GPU, you can expect to be assigned to specific, time-bound projects such as optimizing graphics performance, supporting new hardware integration, or debugging GPU-related issues. You’ll often work closely with permanent engineers, participating in code reviews, daily stand-ups, and cross-functional meetings to ensure alignment and knowledge transfer. Collaboration is key, as you may need to quickly get up to speed with existing codebases and tools, and contribute solutions that fit seamlessly into larger, ongoing projects. The role offers a fast-paced environment where adaptability and strong communication skills are highly valued.

What are the key skills and qualifications needed to thrive as a temporary software engineer GPU, and why are they important?

To thrive as a Temporary Software Engineer GPU, you need a solid background in computer science, experience with GPU programming (such as CUDA or OpenCL), and proficiency in languages like C++ or Python. Familiarity with GPU development environments, debugging tools, and version control systems, along with any relevant certifications, is highly valuable. Strong problem-solving abilities, adaptability, and effective teamwork skills help set candidates apart in this fast-evolving field. These skills enable efficient development, optimization, and integration of GPU-accelerated applications, which is crucial for meeting project deadlines and technical goals.

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 Temporary Software Engineer Gpu jobs?

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

Temporary Software Engineer Gpu jobs near you
Infographic showing various Temporary Software Engineer Gpu job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Software Engineer - GPU reliability

Hudson River Trading

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Key responsibilities

  • Build and maintain tools and software features to automate systems engineering workflows related to GPU management, monitoring, metrics collection, maintenance, and network configuration

  • Troubleshoot software and hardware bugs on a fleet of GPU devices, including application, network, operating system, and kernel issues

  • Analyze GPU job statistics to identify trends and areas for improvement

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.

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