Benchmarking Jobs

SambaNova is seeking an Inference Systems Performance Architect to lead the end-to-end performance strategy for their AI inference platform. This role involves defining and driving technical direction in workload capture, benchmarking, modeling, and simulation. You will be instrumental in understanding how requests move through the system, from tokenization to fabric communication, and how deployments meet customer service level objectives. The work focuses on creating reproducible representations of real and agentic traffic, developing what-if capabilities for future configurations, and tackling complex challenges in heterogeneous inference environments.

$245k - $325k

NVIDIA is seeking ambitious and creative individuals for its Spring 2027 Developer and Performance Technology internships. These 8-12 month full-time internships offer a unique opportunity to gain hands-on experience with industry-leading Deep Learning teams, working on projects that have a measurable impact on NVIDIA's business. Interns will tackle complex challenges in areas such as AI, digital twins, gaming, robotics, self-driving cars, and virtual worlds. The program is designed for students pursuing a B.S. or M.S. degree in a relevant field, providing a chance to expand their careers and contribute to transformative technologies.

$0k - $0k

Joining NVIDIA's DGX Cloud AI Efficiency Team means advancing the performance, efficiency, and resiliency of large-scale AI workloads. You will help AI researchers and platform teams understand end-to-end behavior across GPUs, networking, storage, and software stacks. Your work will shape scalable DGX Cloud systems, turn complex measurements into prioritized engineering decisions, and continuously raise the performance and reliability of AI workloads. Join a technically diverse team of infrastructure experts to unlock more efficient AI at scale.

$224k - $431k

Anthropic

Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. Decisions in production training depend on knowing how the model is really behaving. This role's mission is to have the best observability into production post-training runs at Anthropic, providing the clearest, most trusted view of model quality during training. You will shape what gets measured, keep the signal trustworthy and timely, and investigate surprising results to inform post-training and release decisions.

$500k - $850k

Innodata is seeking a Research Scientist to lead the science of data for robotics foundation models. This role involves partnering directly with customers and frontier labs to define how data is designed, structured, and evaluated for next-generation AI systems in robotics. You will leverage scientific judgment to make high-leverage decisions about data capture, synthesis, representation, and evaluation, ensuring that the data collected and generated directly supports the development of robust and transferable AI models for manipulation, locomotion, vision-language-action, and world models.

$160k - $185k

CHAOS Industries is seeking a mission-oriented Applied AI Engineer to develop, integrate, and deploy AI/ML capabilities across its defense product lines. This role involves working with data scientists, software engineers, and product teams to conduct advanced AI research and translate it into reliable, real-world software, particularly for defense applications requiring extreme accuracy under challenging conditions. The ideal candidate possesses strong data science and software engineering fundamentals, a track record of technical excellence, and experience applying AI/ML to real products, with a preference for backgrounds in aerospace, defense, or similar mission-driven environments. Comfort with independent operation, rapid learning of new technical domains, cross-team collaboration, and moving prototypes to production with minimal oversight is essential.

$150k - $170k

Abundant is building the NVIDIA of training data, recognizing the critical need for scaling data as AI models advance beyond supervised learning to reinforcement learning and learning from experience. The founding team brings extensive experience from leading AI organizations, with a proven track record in deploying deep learning models at scale, training state-of-the-art models, and managing large data pipelines. As a Member of Technical Staff, you will collaborate directly with the founding team to architect the future of model reasoning and intelligence, working at the intersection of research and execution to push the boundaries of AI capabilities.

$120k - $120k