ZipRecruiter

Log In

1

Weekend Software Engineer Gpu Jobs in Missouri (NOW HIRING)

Jobgether

$94K - $124K/yr

Our partner is looking for a Senior Software Engineer (Serverless) based in Netherlands. This role ... Design, develop, and maintain core components of a GPU-native serverless AI platform, including ...

New

Brain Corp

$83K - $113K/yr

The Sr Staff Software Engineer, Cloud AI Infrastructure is a key contributor within Brain Corp's ... Develop and optimize GPU resource management strategies, improving model serving throughput ...

Jobgether

$88K - $106K/yr

You will dive deep into performance optimization, from model architecture and GPU execution to ... This position is ideal for an engineer who enjoys solving complex technical challenges and building ...

Nebius

Field Engineer (Hardware Delivery)

Independence, MO · On-site

$125K - $180K/yr

Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius operates large-scale, GPU-dense AI infrastructure across mission-critical ...

Jobgether

You will take ownership of model serving systems, GPU-powered infrastructure, deployment pipelines ... Experience using AI coding assistants to accelerate software development, troubleshooting, and ...

Jobgether

... multi-GPU or distributed training environments. * Ability to evaluate and optimize tradeoffs between model quality, performance, latency, and cost. * Strong programming and software engineering ...

Nebius

Regional Asset Manager

Kansas City, MO · On-site

... software engineering, as well as an in-house AI R&D team. The team You will join our rapidly growing Data Center Operations organization supporting large-scale GPU clusters and AI infrastructure ...

next page

Showing results 1-20

All JobsSoftware Engineer Gpu JobsWeekend Software Engineer Gpu JobsWeekend Software Engineer Gpu Jobs in Missouri

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 Missouri? The most popular types of Software Engineer Gpu jobs in Missouri are:
What cities in Missouri are hiring for Weekend Software Engineer Gpu jobs? Cities in Missouri with the most Weekend Software Engineer Gpu job openings:
Weekend Software Engineer Gpu jobs near you

Senior Software Engineer (Serverless)

Jobgether

$94K - $124K/yr

Full-time

Posted 3 days ago

New

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer (Serverless) based in Netherlands.

This role offers the opportunity to build the next generation of AI cloud infrastructure powering advanced machine learning workloads worldwide. You will work on a high-impact serverless platform designed to help developers deploy and scale AI applications without managing complex infrastructure. As a senior engineer, you will take ownership of critical distributed systems challenges, from GPU scheduling and runtime performance to customer-facing APIs and platform reliability. Working in a highly technical environment, you will influence architecture decisions, mentor engineers, and help define engineering standards. This position is ideal for an experienced software engineer passionate about large-scale systems, cloud technologies, and solving complex infrastructure challenges at the forefront of AI innovation.

Accountabilities
  • Design, develop, and maintain core components of a GPU-native serverless AI platform, including control planes, schedulers, runtimes, autoscaling systems, and customer-facing APIs.
  • Solve complex engineering challenges related to cold-start optimization, GPU scheduling, multi-tenant isolation, fair resource allocation, request routing, and platform scalability.
  • Own technical architecture decisions for key platform areas by creating design documents, evaluating solutions, and aligning engineering teams around effective approaches.
  • Establish and maintain high engineering standards through code reviews, design reviews, technical guidance, and active collaboration with team members.
  • Operate services with an SRE mindset by defining reliability objectives, improving observability, supporting incident response, and driving continuous platform improvements.
  • Collaborate directly with customers on architecture discussions, performance optimization, and complex production issues requiring deep technical expertise.
  • Partner with product, infrastructure, and go-to-market teams to translate customer needs into scalable technical roadmaps.
  • Contribute to improving platform performance, reliability, and developer experience through innovative engineering solutions.
  • Support knowledge sharing and technical mentorship to help raise the overall engineering capability of the team.
Requirements
  • 7+ years of professional software engineering experience with a proven track record of building and operating large-scale distributed systems.
  • Strong programming experience with Golang, or the ability and willingness to quickly become proficient in the language.
  • Deep experience with Kubernetes and container orchestration systems, including real-world operation of production environments.
  • Strong understanding of distributed systems concepts such as consistency, availability trade-offs, queueing, backpressure, retries, idempotency, and multi-tenancy.
  • Experience designing and operating high-throughput, low-latency services with a strong focus on performance optimization and reliability.
  • Proven ability to take ownership of complex technical challenges, lead design discussions, unblock teams, and deliver impactful solutions.
  • Strong software engineering fundamentals with the ability to write reliable, maintainable code and investigate complex technical problems.
  • Collaborative mindset with excellent communication skills and the ability to work effectively across engineering and business teams.
  • Experience with serverless platforms or function-as-a-service technologies such as Knative, AWS Lambda, GCP Cloud Run, Cloudflare Workers, or similar solutions is a strong advantage.
  • Familiarity with GPU scheduling technologies, including Kubernetes device plugins, MIG, MPS, time-slicing, or NVIDIA GPU Operator, is highly desirable.
  • Experience with ML inference technologies such as vLLM, TensorRT-LLM, Triton Inference Server, SGLang, or similar platforms is a plus.
  • Knowledge of runtime optimization techniques including cold-start reduction, image streaming, checkpoint/restore, or sandboxing technologies is beneficial.
  • Experience developing Kubernetes operators using Go and frameworks such as controller-runtime or kubebuilder is advantageous.
  • Contributions to open-source projects related to serverless infrastructure, scheduling, or AI inference are a plus.
Benefits
  • Competitive compensation package.
  • Flexible working environment with hybrid opportunities.
  • High level of ownership and autonomy over technical decisions.
  • Career development opportunities and continuous learning support.
  • Opportunity to work on impactful AI infrastructure projects shaping the future of machine learning.
  • Collaborative and innovative culture with highly skilled international teams.
  • Exposure to cutting-edge technologies across cloud infrastructure, distributed systems, GPUs, and AI workloads.
  • Opportunity to contribute to ambitious projects in a fast-moving, high-growth environment.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
#LI-CL1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply