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Temporary Software Engineer Gpu Jobs in Kansas (NOW HIRING)

Nvidia

$105K - $138K/yr

... engineers to develop groundbreaking technologies in the inference systems software stack! We build ... As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for ...

ApplyMint

Software Engineer

Overland Park, KS · On-site

$93 - $167/hr

The role involves collaborating with engineering teams to develop software components using ... temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on ...

New

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

Work as part of a team to develop software applications for engineering and information management ... Graphical Processing Unit (GPU) Applications (i.e. NVIDIA, CUDA Python, PyCUDA, etc.) * Field ...

ApplyMint

Software Engineer

Wichita, KS · On-site

$68 - $104/hr

Requires a Bachelor's Degree in Engineering, Computer Science, Information Technology, or another ... temporary and permanent solutions * Ability to comprehend complex software, hardware, and ...

New

StackAdapt

$105K - $138K/yr

... of experience in software development, particularly building high-throughput, low-latency ... Interest or experience in computational graphics, GPU programming, game development, game theory ...

TEKsystems

Software Engineer

Lenexa, KS

$10 - $12/hr

Full Stack Software Engineer (Mid-Level) We're looking for a Full Stack Software Engineer who ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Spirit AeroSystems

Mid-Level Software Engineer

Wichita, KS · On-site

$100K - $153K/yr

... temporary and permanent solutions * Ability to comprehend complex software, hardware, and ... Requires a Bachelor's Degree in Engineering, Computer Science, Information Technology, or another ...

Spirit AeroSystems

Mid-Level Software Engineer

Wichita, KS · On-site

$100 - $154/hr

Requires a Bachelor's Degree in Engineering, Computer Science, Information Technology, or another ... both temporary and permanentsolutions * Ability to comprehend complex software, hardware, and ...

The Boeing Company

Mid-Level Software Engineer

Wichita, KS · On-site

$100 - $154/hr

Requires a Bachelor's Degree in Engineering, Computer Science, Information Technology, or another ... both temporary and permanentsolutions * Ability to comprehend complex software, hardware, 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 Kansas?

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

What cities in Kansas are hiring for Temporary Software Engineer Gpu jobs?

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

Temporary Software Engineer Gpu jobs near you

Senior Software Engineer

Garmin International, Inc.

Olathe, KS • On-site

$118K - $156K/yr

Full-time

Re-posted 28 days ago

Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

14th of 161 rated electronics manufacturers

Job description

Overview
We are seeking a full-time Senior Software Engineer at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will build the platforms, tooling, and infrastructure that enable scalable delivery of machine learning and large language model (LLM) capabilities across Garmin. You will partner closely with Data Scientists, Software Engineers, and Cloud/Infrastructure teams to develop self-service ML Ops solutions that reduce friction associated with model deployment, monitoring, reliability, and operational support. This is an opportunity for you to shape the future of AI enablement at Garmin by designing production-grade systems that improve the scalability, efficiency, and developer experience of enterprise AI/ML workflows.
Essential Functions
  • Designs, develops, and maintains self-service Machine Learning Ops tooling, platforms, and automation capabilities that improve the efficiency and scalability of machine learning model delivery
  • Implements and supports standardized CI/CD pipelines, model registries, deployment automation, and operational tooling for production AI/ML systems
  • Collaborates with Data Scientists, Software Engineers, and Infrastructure teams to reduce operational friction and improve the developer experience associated with model development and deployment workflows
  • Designs and implements monitoring, health check, observability, and alerting capabilities for production machine learning and LLM deployments
  • Researches and implements scalable infrastructure solutions for LLM deployment including autoscaling, dynamic routing, and cloud-based serving architectures
  • Serves in a leadership capacity as an individual contributor for carrying out software development in Python, Java, or other selected languages for new products and/or applications
  • May serve as a Lead Software Engineer for complex software development project designs and/or reviews architected modules and software systems supporting new technology or improving capability/performance of existing functionality
  • Decomposes functional requirements into well-defined tasks
  • Researches fundamental problems and implements algorithm solutions that are appropriate
  • Offers peer technical assessments in areas of expertise, new technologies and software designs
  • Participates in project leadership and/or program planning including providing technical input to product development plans and concept documents
  • Makes substantial contributions toward determination of project goal/objective feasibility and applies good judgment in setting schedules/risk taking
  • Mentors and provides guidance to less experienced Software Engineers (1 & 2)
  • Contributes to advanced technical research on new technologies
  • Offers process improvement suggestions and authors new procedures as appropriate
  • Provides reliable solutions to a wide range of difficult problems using sound problem solving techniques
  • Supports working hours as part of a rotating schedule to provide on call support of Garmin's 24/7 operations

Basic Qualifications
  • Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math, Physics or related field AND a minimum of 5 years relevant experience
  • Demonstrated proficiency with designing well architectured software systems and modules that support new technology or improve capability/performance of existing functionality
  • Demonstrated competence with researching fundamental problems and implementing appropriate algorithmic solutions
  • Demonstrated ability to serve as a lead software engineer for a complex software project
  • Ability to decompose functional requirements into well-defined tasks while balancing quality, quantity, and complexity in work output
  • Demonstrated capability to offer peer technical assessments in areas of expertise, new technologies and software designs
  • Mastered proficiency in writing software in C, C++, C# or Java and relevant experience and/or training in data structures or object-oriented design methodology
  • Demonstrated strong and effective verbal, written, and interpersonal communication skills
  • Must be positive, detail oriented, organized, team oriented and a driven problem solver, multi-tasker, and self-starter with the ability to prioritize and lead in a fast paced, deadline-driven environment

Desired Qualifications
  • Experience developing and supporting containerized and distributed systems using technologies such as Docker, Kubernetes, Helm, and cloud-native deployment platforms
  • Familiarity with GPU-enabled infrastructure, accelerated compute environments, and scalable inference architectures supporting machine learning and large language model (LLM) workloads
  • Experience working with cloud compute and storage platforms such as Microsoft, including deployment automation, networking, and infrastructure management
  • Knowledge of ML Ops and DevOps tooling including CI/CD pipelines, infrastructure-as-code, model deployment workflows, observability platforms, and operational monitoring solutions
  • Familiarity with modern machine learning frameworks, model serving technologies, and artifact management solutions such as PyTorch, Hugging Face, MLflow, or similar technologies
  • Experience developing automation and self-service tooling using Python, REST APIs, scripting frameworks, and cloud based orchestration technologies

Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits

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