$80K - $110K/yr
Improve training stability and efficiency across large-scale, multi-GPU and multi-node environments ... Fully remote working environment within Europe. * Full-time employment. * Opportunity to build and ...
New
$80K - $110K/yr
Improve training stability and efficiency across large-scale, multi-GPU and multi-node environments ... Fully remote working environment within Europe. * Full-time employment. * Opportunity to build and ...
New
$100K - $180K/yr
The environment is remote-first, highly collaborative, and designed for people who take ownership ... GPU server and related infrastructure issues. * Capture and communicate customer feedback and ...
New
$100K - $180K/yr
The environment is remote-first, highly collaborative, and designed for people who take ownership ... GPU server and related infrastructure issues. * Capture and communicate customer feedback and ...
New
$42.75 - $55/hr
Demonstrated experience building, scaling, and operating Solutions Architecture, Sales Engineering ... compute or GPU workloads is an advantage. Benefits: * Competitive compensation. * Remote work ...
$42.75 - $55/hr
Demonstrated experience building, scaling, and operating Solutions Architecture, Sales Engineering ... compute or GPU workloads is an advantage. Benefits: * Competitive compensation. * Remote work ...
$49 - $67.25/hr
You will help developers and academic partners understand and effectively use advanced cloud ... Act as a trusted technical advisor to academic partners, providing guidance on GPU cloud ...
New
$49 - $67.25/hr
You will help developers and academic partners understand and effectively use advanced cloud ... Act as a trusted technical advisor to academic partners, providing guidance on GPU cloud ...
New
... remote environment. Accountabilities * Develop and review electrical distribution systems ... Experience working with high-density GPU infrastructure such as NVIDIA GB200/GB300 is beneficial.
New
... remote environment. Accountabilities * Develop and review electrical distribution systems ... Experience working with high-density GPU infrastructure such as NVIDIA GB200/GB300 is beneficial.
New
You'll work closely with experienced engineers in a remote, collaborative environment where ... Experience with technologies such as vLLM or SGLang for fast rollouts and FSDP for multi-GPU ...
You'll work closely with experienced engineers in a remote, collaborative environment where ... Experience with technologies such as vLLM or SGLang for fast rollouts and FSDP for multi-GPU ...
Optimize CPU, GPU, memory, battery usage, and overall performance across a broad range of mobile ... Remote-first and flexible working environment. * Digital nomad-friendly culture. * Generous paid ...
New
Optimize CPU, GPU, memory, battery usage, and overall performance across a broad range of mobile ... Remote-first and flexible working environment. * Digital nomad-friendly culture. * Generous paid ...
New
Lead multidisciplinary design reviews and approve engineering drawings across electrical ... Familiarity with high-density GPU infrastructure such as NVIDIA GB200/GB300 or equivalent platforms ...
New
Lead multidisciplinary design reviews and approve engineering drawings across electrical ... Familiarity with high-density GPU infrastructure such as NVIDIA GB200/GB300 or equivalent platforms ...
New
Remote Gpu Engineer information
What is a remote GPU engineer?
Remote GPU Engineers are specialized software or hardware engineers who work primarily with Graphics Processing Units (GPUs) from a remote location. They focus on designing, optimizing, and maintaining GPU-based systems for applications such as machine learning, high-performance computing, and graphics rendering. These professionals often collaborate with teams virtually, leveraging cloud-based GPU resources and remote access tools. Their work enables companies to efficiently utilize GPU technology without requiring engineers to be on-site.
What are the key skills and qualifications needed to thrive as a remote GPU engineer?
To thrive as a Remote GPU Engineer, you need strong expertise in GPU architectures, parallel programming (CUDA/OpenCL), and a solid background in computer science or engineering. Familiarity with tools like CUDA Toolkit, performance profilers, and version control systems, as well as experience with relevant certifications, is typically required. Excellent problem-solving abilities, communication skills, and the capacity to collaborate effectively in remote, distributed teams are standout soft skills. These competencies ensure efficient GPU solution development, effective troubleshooting, and seamless teamwork in a remote engineering environment.
What are some common challenges faced by remote GPU engineers when collaborating with distributed teams?
Remote GPU Engineers often work with global teams, which can present challenges such as coordinating across different time zones, ensuring consistent communication, and managing access to high-performance hardware remotely. To overcome these hurdles, it's important to leverage collaboration tools, maintain clear documentation, and establish regular check-ins. Additionally, using remote desktop solutions and cloud-based GPU environments can help facilitate smoother development and debugging processes.
What are the most commonly searched types of Gpu Engineer jobs in Missouri?
The most popular types of Gpu Engineer jobs in Missouri are:
What are popular job titles related to Remote Gpu Engineer jobs in Missouri?
For Remote Gpu Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Gpu Engineer jobs in Missouri look for?
The top searched job categories for Remote Gpu Engineer jobs in Missouri are:
What cities in Missouri are hiring for Remote Gpu Engineer jobs?
Cities in Missouri with the most Remote Gpu Engineer job openings:
Senior Applied Research Engineer - Video
Remote
Jobgether
$80K - $110K/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 Applied Research Engineer - Video based in Netherlands.
As a Senior Applied Research Engineer, you will help build the next generation of production-grade foundation models for human-centric video generation.
You will work at the intersection of generative AI research, large-scale distributed systems, and production engineering.
Your work will focus on developing realistic, controllable, and expressive video generation models that can operate reliably at scale.
You will own research and engineering projects end to end, translating hypotheses and experiments into measurable product impact.
The role combines advanced modeling, distributed training, evaluation, inference optimization, and rigorous experimentation.
You will operate in a highly technical, high-ownership environment where research is expected to move quickly toward real-world deployment.
Your contributions will directly influence AI-powered video products used by businesses around the world.
Accountabilities
- Develop and scale latent video diffusion models designed for human-centric video generation.
- Design advanced conditioning mechanisms that improve control over elements such as pose, emotion, scripts, and camera movement while maintaining high visual fidelity.
- Lead end-to-end applied research and engineering projects, from developing hypotheses and running experiments through to production implementation and measurable impact.
- Develop and optimize distributed training strategies using technologies such as DDP, FSDP, DeepSpeed, and sequence parallelism.
- Improve training stability and efficiency across large-scale, multi-GPU and multi-node environments while working within real-world compute constraints.
- Design robust evaluation frameworks combining automated metrics with structured human evaluation to assess model quality and performance.
- Optimize model inference for low latency, high resolution, scalability, and cost efficiency in production environments.
- Run controlled experiments, ablations, and parallel research hypotheses to identify high-value signals and guide modeling decisions.
- Establish and maintain strong engineering practices around reproducibility, experiment tracking, CI/CD, monitoring, and production reliability.
- Translate research findings into practical improvements for production-grade generative video systems.
- Collaborate actively with researchers, engineers, and cross-functional teams while maintaining a high degree of individual ownership.
- Move quickly between promising research directions, identifying low-signal approaches early and prioritizing work based on measurable outcomes.
- Strong professional experience training deep learning models at scale, ideally in a research or production environment.
- Strong programming skills in Python and hands-on expertise with PyTorch.
- Practical experience working with diffusion models, with image-generation experience required and video-generation experience strongly preferred.
- Proven experience with large-scale multi-GPU and multi-node model training.
- Strong understanding of distributed training frameworks and techniques such as DDP, FSDP, DeepSpeed, or comparable technologies.
- Ability to design controlled experiments, analyze noisy or ambiguous results, and make scientifically grounded modeling decisions.
- Experience with video diffusion models is an advantage.
- Experience with avatar generation, synthetic humans, or other human-centric generative AI applications is a plus.
- Familiarity with world models, interactive models, GANs, or VAEs is desirable.
- Experience optimizing inference systems for production deployment is an advantage.
- Strong understanding of CUDA and experience working within modern machine learning infrastructure.
- Ability to work effectively with technologies such as AWS, SLURM, Docker, CI/CD pipelines, and distributed training and inference systems.
- Research-driven mindset combined with a strong focus on practical outcomes and shipping production solutions.
- Ability to explore multiple approaches quickly, identify promising directions, and discontinue low-value experiments when appropriate.
- Strong scientific communication skills, with the ability to clearly present experimental results and technical conclusions.
- High degree of autonomy, ownership, adaptability, and initiative, combined with a collaborative approach to working across teams.
- Fully remote working environment within Europe.
- Full-time employment.
- Opportunity to build and work on production-scale video foundation models at the forefront of Generative AI.
- Direct opportunity to influence next-generation human-centric video generation technology.
- Work on challenging technical problems involving scalability, model stability, controllability, evaluation, and inference optimization.
- High-ownership environment where research and engineering contributions are designed to reach real-world products.
- Opportunity to collaborate with highly technical AI researchers and engineers.
- Exposure to large-scale machine learning infrastructure, distributed computing, and production AI systems.
- Opportunity to work on technology serving tens of thousands of businesses worldwide.
- Fast-paced environment that encourages autonomy, experimentation, scientific thinking, and measurable impact.
- Opportunity to contribute to AI technology with a strong focus on safety, ethics, security, and people-first development.
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.
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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.
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