Lead the design and development of our production inference platform and define the technical roadmap for inference infrastructure, model serving, and runtime optimization.
Compensation
Salary Range ($190- $230K) plus health insurance and equity. United States - Remote Pay Range $190,000—$230,000 USD
Responsibilities
Lead the design and development of our production inference platform.
Define the technical roadmap for inference infrastructure, model serving, and runtime optimization.
Build and operate scalable, cost-effective systems for serving large language models in production.
Evaluate and integrate modern inference technologies, frameworks, and serving runtimes.
Optimize latency, throughput, GPU utilization, memory efficiency, and infrastructure cost.
Lead data science initiatives for Walmart’s Foundation Models team, defining problem statements, building large-scale models, and driving adoption across product and engineering teams.
Locations (2)
Bangalore, Karnataka, India
Chennai, Tamil Nadu, India
Responsibilities
Define problem statements and solution direction
Own full lifecycle of model development from research to production
Lead data engineering and large-scale GPU training
Senior Lead Software Engineer within an agile team focused on enhancing, building, and delivering market-leading technology products, specifically in AI/ML Deep Learning and GPU ML serving.
Responsibilities
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes
Applies knowledge of tools within the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities
Drives decisions that influence the product design, application functionality, and technical operations and processes
Requirements
Formal training or certification on software engineering concepts
Lead the architecture, development, deployment, and ongoing evolution of AI initiatives across a global consumer SuperApp. This is a hands-on technical leadership role focused on open-source foundation models, self-hosted infrastructure, and production AI systems.
Compensation
Compensation is accrued and payable following funding, after which it transitions to a regular salary, equity ownership, and OleX token participation in the overall OleOle group of companies.
Responsibilities
Establish overall AI architecture
Lead initiatives including AskOle
Lead real-time multilingual translation
Develop AI-powered sports history and content generation systems
Develop the sports data engine
Requirements
Nice to have: building consumer AI platforms at scale
Nice to have: multilingual and multimodal AI engineering
Lead productization across perception, localization and mapping (SLAM), navigation, and spatial memory on the robot for next-generation robotics systems. Partner with applied scientists to turn research into production components on embedded GPUs.
Locations (2)
N.Reading, Massachusetts, United States
Wilmington, Massachusetts, United States
Compensation
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
Responsibilities
Set the technical direction for the robot's perception, SLAM, navigation, and spatial memory software, and lead the engineers who build it
Own how well the robot perceives and navigates in real facilities, and drive the fixes when it falls short
Work with applied science leaders to bring research from prototypes to production
Make tradeoffs across the stack, such as what runs on the robot versus in the cloud and how models share limited compute
Architecte Data / IA Industrie responsable de la définition, industrialisation et déploiement d'architectures Data & IA pour des environnements industriels, combinant avant-vente, solutioning et delivery de projets complexes.
Responsibilities
Définir des architectures Data & IA
Industrialiser les solutions
Traduire les exigences des normes et réglementations industrielles
Garantir la robustesse, la traçabilité des modèles
Intégrer les contraintes des métiers industriels
Requirements
Formation ingénieur, grande école scientifique avec forte spécialisation technique, ou équivalent universitaire Bac+5
Partner directly with leading research labs, researchers, and university faculty as a trusted technical advisor: develop a keen understanding of their scientific goals and drive joint research projects at supercomputing scale.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
Germany: 85,800 EUR – 148,720 EUR for Level 3; and 108,075 EUR – 187,330 EUR for Level 4.
France: 69,000 EUR – 119,600 EUR for Level 3; and 87,750 EUR – 152,100 EUR for Level 4.
Responsibilities
Partner directly with leading research labs, researchers, and university faculty as a trusted technical advisor
Identify and accelerate high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects
Advocate for accelerated computing and Deep Learning, and deliver hands‑on trainings, workshops, lectures, and demonstrations across NVIDIA's platforms
Track emerging research trends and turn gaps between researcher needs and NVIDIA's offerings into prototypical solutions and direct feedback to NVIDIA Engineering
Maintain deep expertise in your domain while staying versatile across NVIDIA's full platform: GPUs, CPUs, networking, and software
Partner with AI-native founders and engineering teams to design, optimize, and scale AI platforms on NVIDIA technologies, focusing on agentic systems, AI copilots, and multimodal AI.
Compensation
expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Serve as a trusted technical advisor to the next generation of AI-native companies building category-defining applications such as developer copilots, AI search engines, agentic platforms, and multimodal creative tools.
Work directly with startup founders and engineering teams to architect and optimize AI workloads using NVIDIA technologies including CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, NIM microservices, and GPU-accelerated data processing frameworks.
Help AI-native companies scale training and inference infrastructure, optimizing model performance, cost efficiency, and latency across NVIDIA accelerated computing platforms.
Guide startups through complex architectural decisions including model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems.
Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams to identify emerging AI-native categories and influence NVIDIA’s platform roadmap.
Requirements
BS/MS degree or equivalent experience in Computer Science, Engineering, or a related field
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Serve as a trusted technical advisor to the next generation of AI-native companies building category-defining applications such as developer copilots, AI search engines, agentic platforms, and multimodal creative tools.
Work directly with startup founders and engineering teams to architect and optimize AI workloads using NVIDIA technologies including CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, NIM microservices, and GPU-accelerated data processing frameworks.
Help AI-native companies scale training and inference infrastructure, optimizing model performance, cost efficiency, and latency across NVIDIA accelerated computing platforms.
Guide startups through complex architectural decisions including model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems.
Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams to identify emerging AI-native categories and influence NVIDIA’s platform roadmap.
Requirements
BS/MS degree or equivalent experience in Computer Science, Engineering, or a related field
Nice to have: building or scaling AI-powered products
Senior Solutions Architect, Higher Education and Research - Open Models and LLM
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
Germany: 85,800 EUR – 148,720 EUR for Level 3; and 108,075 EUR – 187,330 EUR for Level 4.
Responsibilities
Partner directly with leading research labs, researchers, and university faculty as a trusted technical advisor
Identify and accelerate high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects
Advocate for accelerated computing and Deep Learning, and deliver hands‑on trainings, workshops, lectures, and demonstrations across NVIDIA's platforms
Track emerging research trends and turn gaps between researcher needs and NVIDIA's offerings into prototypical solutions and direct feedback to NVIDIA Engineering
Maintain deep expertise in your domain while staying versatile across NVIDIA's full platform: GPUs, CPUs, networking, and software
Requirements
Graduate degree from a leading university in a STEM related discipline
Nice to have: PhD in a STEM related discipline
Nice to have: 3+ years of research on large language models or foundation models
Nice to have: high-impact publications
Nice to have: talks at academic conferences and workshops
Senior Lead Software Engineer - AI/ML Deep Learning & GPU ML ServingJPMorgan Chase & Co. · Hyderabad, India
Senior Software Development Engineer, Robotics PerceptionAmazon · N.Reading, US+1 more