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Forge Labs Jobs (NOW HIRING)

Nvidia

OR · On-site

In this role, you will work directly with research labs to accelerate the adoption of NVIDIA ... Forge closer ties with lab personnel, understanding organizational dynamics and the full scope of ...

Nvidia

OR · On-site

In this role, you will work directly with research labs to accelerate the adoption of NVIDIA ... Forge closer ties with lab personnel, understanding organizational dynamics and the full scope of ...

Black Forest Labs

$175K - $240K/yr

About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX ... Identify and forge new distribution and monetization channels the market hasn't imagined yet

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Forge Labs information

What are the key skills and qualifications needed to thrive as a Forge Lab Technician, and why are they important?

To thrive as a Forge Lab Technician, you need a solid understanding of metallurgy, materials testing, and safety procedures, often supported by a degree or certification in materials science or engineering. Familiarity with laboratory equipment, data analysis software, and industry-specific standards (such as ASTM or ISO) is typically required. Attention to detail, analytical thinking, and effective communication are essential soft skills for accurate testing and reporting. These skills ensure reliable results, uphold safety standards, and support quality control in manufacturing environments.

What is the difference between Forge Labs vs Video Producer?

AspectForge LabsVideo Producer
CredentialsTypically requires a background in filmmaking, media production, or related fieldsOften requires a degree or experience in film, media, or communications
Work EnvironmentCreative studios, production sets, or in-house media teamsMedia companies, advertising agencies, or corporate media departments
Industry UsageUsed in innovative media projects, documentary-style content, and experimental videosCommon in advertising, corporate videos, and broadcast media

Forge Labs and Video Producer roles both involve media creation, but Forge Labs often emphasizes experimental and documentary-style content with a focus on innovative storytelling, while Video Producers typically handle broader video project management across various industries. Understanding these differences helps clarify career paths and job expectations in media production.

What are some common challenges faced by professionals working in a Forge Labs environment, and how can they be addressed?

Professionals in Forge Labs often encounter challenges such as managing multiple complex fabrication projects simultaneously and adapting to rapidly evolving technologies. Staying current with industry advancements and maintaining strong communication with both technical and non-technical team members are essential. Collaboration with engineers, designers, and project managers is frequent, requiring clear documentation and effective problem-solving skills. To address these challenges, it's helpful to prioritize ongoing learning, participate in cross-functional meetings, and leverage project management tools for better workflow coordination.

What are Forge Labs?

Forge Labs are specialized facilities or organizations that focus on research, development, and prototyping using advanced manufacturing technologies such as 3D printing, metalworking, and digital fabrication. These labs provide resources, equipment, and expertise to help innovators, engineers, and entrepreneurs turn their ideas into tangible products. They often serve as collaborative spaces for experimentation and skill-building in various industries, including engineering, design, and technology.
What cities are hiring for Forge Labs jobs? Cities with the most Forge Labs job openings:
Infographic showing various Forge Labs job openings in the United States as of May 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution.
Developer Relations Manager, HER BioSciences

Developer Relations Manager, HER BioSciences

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 14 hours ago

Job description

We are seeking a dynamic, mission-driven Developer Relations Manager to engage leading research labs. In this role, you will work directly with research labs to accelerate the adoption of NVIDIA's sophisticated AI and computing platforms.
The ideal candidate combines deep technical expertise with strong experience in research engagement and proven track record to translate advanced technologies into valuable, insight-focused outcomes.
What you'll be doing:
  • Act as a trusted technical advisor for research labs, identifying and accelerating high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects.
  • Map and continuously assess the research ecosystem to identify institutional growth opportunities and inform long-term technology strategies
  • Stay current on research papers across affiliated domains to anticipate emerging trends and provide technical direction on future collaboration areas.
  • Collaborate cross-functionally with Research Account Managers, Solution Architects, and Business Development teams to drive researcher enablement
  • Forge closer ties with lab personnel, understanding organizational dynamics and the full scope of research being conducted.
  • Attend domain scientific conferences and facilitate NVIDIA participation alongside other subject matter experts.
  • Represent the needs of researchers internally by translating academic feedback into actionable insights that build product development, education programs, and platform roadmaps.

What we need to see:
  • PhD in Computer Science, AI, Machine Learning, Computational Science, Physics, Biology, Bioengineering, or a related technical field; or equivalent experience demonstrating comparable research depth.
  • 3+ years of experience.
  • Deep expertise in applying AI to protein design, genomics, transcriptomics, structural biology, molecular simulation, drug discovery, biomedical imaging, or biomedical foundation models.
  • Strong proficiency in AI methods relevant to life sciences, including protein language models, sequence models, graph neural networks, diffusion models, multimodal models, and generative models for molecules or proteins.
  • Understanding of bioscience research workflows, including biological datasets, omics pipelines, structure prediction, target discovery, wet-lab collaboration, lab-in-the-loop experimentation, and reproducibility.
  • Ability to engage top bioscience labs on model accuracy, biological validity, scale, experimental integration, translational impact, and the role of accelerated computing in AI-driven discovery.
  • Research credibility through publications, open-source scientific software, academic or national lab collaborations, technical leadership, or hands-on work in AI for physics or computational science.

Ways to stand out from the crowd:
  • Experience with NVIDIA technologies and platforms such as CUDA, CUDA-X libraries, NVIDIA AI Enterprise, NIM, NeMo/Nemotron, BioNeMo, cuQuantum, Omniverse, Isaac, RAPIDS, TensorRT, Triton Inference Server, or DGX/accelerated computing systems.
  • Established relationships with leading academic labs, research institutes, national labs, or major open source research communities.
  • Track record translating frontier research into demos, reference architectures, workshops, technical content, or developer enablement programs.
  • Experience presenting at academic conferences, research workshops, technical summits, or university facing events.
  • Ability to identify emerging research trends and convert them into strategic opportunities for collaboration, platform adoption, and ecosystem growth.

NVIDIA is widely considered to be one of the technology world's most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 11, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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