Senior Ai Computer Vision Engineer Jobs

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 harnessing the boundless possibilities of AI to build the next era of computing. An era in which our GPU acts as the brain of computers, robots, and self-driving cars that can understand the world. Accomplishing unprecedented goals calls for imagination, inventiveness, and exceptional talent from around the world. As a NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Join our team and discover how you can build a lasting impact on the world. NVIDIA's Silicon Co-Design Group (SCG) leads the full product development lifecycle, from early architecture definition through silicon bringup to product release. The ArchDev team is the hub for silicon and system-level feature development, driving tradeoff analysis, system integration, and POR alignment across the entire organization. This is where ideas become chips, and chips become products that define the state of the art — and we're building that future with some of the most motivated engineers in the industry. We're looking for a Senior Memory Systems Engineer to own HBM and LPDDR integration in sophisticated SoCs. This role covers the full stack, including silicon, package, embedded software, testing, and product development. The engineer will resolve the toughest system-level memory challenges throughout the process, building solutions that hold up at scale. What you'll be doing: HBM & LPDDR System Integration and Bringup: Drive HBM and LPDDR system integration, bringup, characterization, and debug for next-generation SoCs — taking memory subsystems through the full arc from first silicon to production-ready at scale. Full-Stack Memory Closure: <s

NVIDIA has been redefining computer graphics, desktop gaming, and enhanced computing capabilities for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As a NVIDIAN, you will work on problems that sit at the boundary of architecture, silicon, firmware, software, and production, where strong judgment matters as much as technical depth. We're the Silicon Design for Productization (DFP) Team, within the broader Silicon Co-Design Group, and we turn power and thermal design into executable productization methodology. Power and thermal are among the most complicated problems we work on at NVIDIA because they sit at the intersection of architecture, workload behavior, silicon variation, firmware policy, platform constraints, and product goals. Small decisions here have an outsized impact on performance, efficiency, reliability, bring-up speed, and ultimately what the product can deliver in the field. We define how features move from concepts to bring-up, characterization, validation, and release. In this role, you will help us build that bridge. We're looking for an engineer who reasons from first principles, flourishes with ownership in a fast-paced environment, and uses AI with sound judgment. What you’ll be doing: Lead the effort across multi-functional teams to keep the program’s power and thermal productization strategy clear, executable, and on track. Create methodology and silicon test plan based controller designs and architecture, including characterization process, debug tools, fuse/firmware settings and lab requirements. Drive resolution for challenging silicon issues through structured hypotheses, measurement plans, and root-cause closure. Steward the Power and Thermal playbook when the existing productization methodology

NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of the hardware. Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad perspective across the field of computer architecture and depth in the area of power, performance, and area (PPA) analysis is highly desirable. NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high-performance computing technology, with aggressive plans for future processors. This position offers the opportunity to have a real impact in a fast-moving, technology-focused company. What you will be doing: Develop innovative high-performance processor and system architectures, focusing on the memory system and energy efficiency. Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory systems, optimizing along the axes of perf/W, perf/mm, and perf/$. Develop and enhance architecture prototype models for power and noise analysis. Participate in performance and power simulation of features to analyze, define, and improve energy per byte. Analyze benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimizations. Debug power, performance, and functional issues with high-level models, RTL simulation and emulation, silicon, and systems. Collaborate with outside partners on system infrastructure. What we want to see: 10&#43; yrs of experience in CPU/GPU architecture, memory systems design with a focus on energy efficiency in the system. Bachelor

JOB DESCRIPTION Responsibilities: Lead the Corporate System Project Specialist and responsible for the day-to-day operations of the ERP system. Collaborate closely with international cross-functional teams across multiple entities and system developers to identify improvement opportunities for the Microsoft Dynamics 365 ERP system and other company-wide applications. Analyze business requirements, develop functional specifications, prepare design documentation, and coordinate change requests, service requests, and budget alignment/approvals. Manage the full system project lifecycle, including project kickoff, planning, system issue tracking, timeline management, testing coordination, deployment, and implementation. Oversee testing activities and release schedules to ensure the successful delivery of system enhancements. Manage ERP timesheet operations and resource planning support. Monitor the company-wide timesheet and resource planning processes to ensure satisfactory completion and approval rates each month. Continuously evaluate and optimize timesheet management processes and training programs. Manage ERP user permissions and oversee the development, maintenance, and review of system-related standard operating procedures. Oversee issue tracking, resolution, and ongoing support for company-wide ERP system. Lead and facilitate ERP project meetings with stakeholders at all organizational levels. Design, develop, and deliver company-wide application training programs, including monthly ERP timesheet training for new hires, line managers, and project functional leads. Evaluate, initiate, and lead cross-functional standardization and automation initiatives that drive continuous business process improvement and operational efficiency. Skills and Qualifications: Bachelor’s degree or higher in computer science, science or a related field. Minimum of 5 years of relevant work experience. Strong written and verbal communication skills, with excellent analytical and problem-

As a Robotics Software Engineer on the Isaac Applications Team, you will bring together the software and hardware that enable Physical AI robots to operate in the real world. You will build working robotic systems and end-to-end workflows for engineers and AI agents. These workflows connect data, simulation, and real-world deployment to continuously expand and improve robot capabilities. We’re looking for strong software engineering skills, broad robotics knowledge, and enthusiasm for working hands-on with physical robots when taking ideas into practice. You enjoy understanding how components interact, solving problems across their boundaries, and seeing them come together to deliver new robot capabilities. What you will be doing: Lead the forefront of Physical AI progress in both simulated and real humanoid robots by building the humanoid reference platform that features NVIDIA's robotics technologies. Build end-to-end workflows to develop, evaluate, and deploy increasingly autonomous and interactive robot capabilities. Extend our platform to new robot embodiments and demonstrate its adaptability through hands-on integration and validation. Address real-world compute, latency, and bandwidth constraints on physical hardware. Collaborate across teams in Shanghai, America, and Europe to connect capabilities and deliver reliable robotic systems. What we need to see: Master’s degree in Computer Science, Robotics, Engineering, or a related field (or equivalent experience). 8&#43; years of relevant industry experience working on robotics software. Hands-on experience integrating, deploying, and testing software on physical robots, and confidence working directly with hardware when needed. Experience deploying and evaluating learned policies to control physical robots. Broad working knowledge of robotics software, hardware, AI, an

RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query compilation. You will solve complex, high-impact engineering problems to deliver highly optimized, cost-effective workloads for our customers. Impact You Will Have Accelerate Serverless Growth: Drive the scaling and efficiency of Databricks serverless compute products through advanced optimization techniques. Build Systems: Design end-to-end ML4Sys solutions from the ground up within a lean team of domain experts to support Shape Strategy: Define the roadmap for applied ML investments by collaborating with engineering and product leaders across Databricks. Drive Deployment: Architect, train, and deploy state-of-the-art models that directly improve product performance and cost efficiency. Scale Infrastructure: Build robust ML pipelines, data processing layers, model serving components, and production monitoring systems to help scale Innovate: Research and implement novel modeling techniques tailored specifically to computer systems and distributed environments. Minimum Qualifications Education: Background in Computer Science and Master's degree in Machine Learning, Data Science, or a related computational field (AI, Bioinformatics, EE, Physics, etc). ML Experience: Strong background in building, training, and deploying machine learning models in production. Infrastructure Knowledge: Practical familiarity with cloud computing, distributed systems, and modern data processing frameworks. Core Coding: Proficiency in Python, Scala, or Java. Preferred Skills Advanced Education: PhD in AI, Data Science, or a related technical discipline. Industry Experience: 4+ years of machine learning engineering experience in high-velocity, high-growth environment. Systems Domain:

P-926 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. As our Search product continues to evolve, we are seeking multiple senior engineers to drive enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale. Key Responsibilities Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online. What We’re Looking For BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 5+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance Experience in one or more of the following: Query understanding NLP Text mining Recommendations Personalization Discovery Conversational AI Strong understanding of computer science fundamentals. Contributions to well-used open-source projects. Why Join Us? At Databricks, we are building state-of-the-art AI solutions that red

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you will address challenges spanning architecture, silicon, firmware, software, and production — and excellent judgment matters as much as technical depth! We are the Silicon Power Team within the Silicon Co-Design Group. We architect and deliver groundbreaking solutions for productizing NVIDIA's chips across consumer, professional, server, embedded, mobile, and automotive markets. Silicon characterization, correlation to arch and design expectations, product spec finalization, and productization techniques and infrastructure are our day-to-day work — always on the bleeding edge of the industry. Small decisions here have outsized impact on performance, efficiency, reliability, bring-up speed, and ultimately what the product delivers in the field. We are hiring a Senior Silicon Power Engineer to own power-feature productization on a flagship silicon program. This is not a coordination role, and it is not a compliance role — it is the seat where power features either work at scale or become the reason a program slips. The two highest-leverage problems in this seat: Close the hardest multi-functional power failures before they gate a program. Take ambiguous, cross-boundary issues across architecture, firmware, validation, and platform to root-cause closure — with productized fixes and reusable methodology the next program can inherit. Build AI-enabled characterization as a real capability, not a demo. Every bring-up generates terabytes of characterization, shmoo, and telemetry data. Deploy AI workflows for data analysis, metric extraction, trend detection, and cross-bring-up correlation — with the guardrails and validation discipline to make them trustworthy enough to gate production decisions! <

Job Details: Job Description: In this role, you'll build software capabilities to automate the build, test, and deployment of Intel's Process Design Kit (PDK). A PDK is a collection of artifacts representing Intel's semiconductor process, used by product designers to model, implement, and verify Intel's mobile, desktop, and server products before manufacturing. You'll be a member of the Design Technology Platform organization, working closely with teams in the United States, Bangalore, and Penang to build world-class DevOps infrastructure that shapes the future of deploying PDKs to silicon product development teams at Intel. Qualifications: Bachelor's or Master's degree in Computer Science, Computer Engineering, or another closely related field. 7-12 years of experience with a Bachelor's degree or Master's degree in software development and engineering. Excellent Python programming skills. Expert-level knowledge of pytest concepts. Expert-level experience with GitHub-based Jenkins CI/CD deployment, enablement, and debugging. Proven knowledge of Agile software engineering practices, IT environments, and DevOps principles and processes. Excellent debugging and problem-solving skills. Excellent written and verbal communication skills; ability to present complex issues with clarity to drive decisions. Must have hands-on experience with AI tools and demonstrated experience building AI agents/tools. Exposure to VLSI PDK domain is preferred. Strong team player with proven ability to collaborate effectively across cross-functional and geographically distributed teams. Job Type: Experienced Hire Shift: Shift 1

P-1492 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. The Role : We are seeking a highly skilled and experienced Senior Software Engineer with a deep understanding of low-level systems to join our team. In this role, you will be instrumental in designing, developing, and optimizing application frameworks that form the building blocks for all software development at Databricks. This is not a full-stack role; your expertise will be focused on the intricate details of system internals, performance, and efficiency. What we look for : Design, implement, and maintain core system infrastructure and low-level software components. Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions. Work with JVM internals, memory management, concurrency, and distributed systems. Collaborate with other senior engineers and architects to define technical strategies and roadmaps. Mentor junior engineers and contribute to a culture of technical excellence. Participate in code reviews, design discussions, and architectural decision-making. Troubleshoot complex system issues and provide effective resolutions. Qualifications Bachelor's or Master's degree in Computer Science

P-926 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. The Role : We are seeking a highly skilled and experienced Senior Software Engineer with a deep understanding of low-level systems to join our team. In this role, you will be instrumental in designing, developing, and optimizing application frameworks that form the building blocks for all software development at Databricks. Your expertise will be focused on the intricate details of system internals, performance, and efficiency. What we look for : Design, implement, and maintain core system infrastructure and low-level software components. Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions. Work with JVM internals, memory management, concurrency, and distributed systems. Collaborate with other senior engineers and architects to define technical strategies and roadmaps. Mentor junior engineers and contribute to a culture of technical excellence. Participate in code reviews, design discussions, and architectural decision-making. Troubleshoot complex system issues and provide effective resolutions. Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. 7+ years of professional experience in software development. Deep understanding of Java Virtual Machine (JVM) internals, including garbage collection, JIT compilation,

NVIDIA is seeking a Senior System Architect to define two foundational areas of the GPU: the mechanisms that manage GPU execution state and the register address and access architecture used across the processor. This hands-on role spans architecture, functional modeling, verification, hardware and software integration, and silicon bring-up. We collaborate across ASIC, firmware, driver, verification, and performance teams to guide features from early exploration through implementation and validation. The resulting architecture will build GPU responsiveness, reliability, scalability, software compatibility, and the way increasingly sophisticated processors are configured and managed. What you’ll be doing: Architect and evolve GPU context-management mechanisms, including efficient methods for saving and restoring execution state. Own the GPU-wide register address map, coordinate address allocation, resolve conflicts, and maintain a scalable architecture through multiple product iterations. Define requirements, interfaces, compatibility expectations, and on-die and cross-die interconnects for register access and programming. Develop C&#43;&#43; functional-model support and collaborate with hardware build, embedded software, device software, testing, and performance groups to translate architectural requirements into coordinated solutions. Evaluate tradeoffs across performance, area, complexity, scalability, reliability, compatibility, and development effort. Build validation strategies, debug cross-stack issues through pre-silicon validation and initial silicon testing, and improve the tools and automation supporting register-interface development. What we need to see: A bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a similar field, or equivalent experience. 5&#43; years of proven experience in computer archit

Adobe Risk Platform (ARP) is Adobe's centralized, adaptive system for detecting, preventing, and mitigating fraud and abuse across products and services, delivering robust security without degrading customer experience. It protects surfaces like Commerce, Stock, and Firefly with real-time risk decisions. As a Sr Staff Engineer on ARP, you'll set the architectural direction for risk mitigation across Adobe. You'll define the standards, patterns, and long-term technical strategy that let ARP and Adobe stay ahead of fraud and abuse as it evolves. What you'll do Architect systems built for the next three to five years of risk mitigation, while delivering impact iteratively and solving today's most important priorities along the way. Push the platform to the forefront of AI and ML to strengthen fraud and abuse detection. Lay the foundational building blocks of the Risk Platform that future risk-mitigation capability builds on, including the platform's shift toward event-driven, continuously-reasoning risk intelligence. Set architectural standards for risk-decisioning services that other teams across Adobe adopt. Share architectural thinking broadly, through design docs that become org-wide standards, white papers, tech talks, or cross-org design reviews. Simplify complex, interlinked systems into designs other teams can build on with confidence. Mentor senior and staff engineers across teams, growing the next generation of technical leaders. What you need to succeed Bachelor's or advanced degree in Computer Science or related field, or equivalent experience; Master's preferred. 12&#43; years architecting high-scale, highly performant platforms, and leading the technical teams that build them. Deep understanding of AI and ML, both to strengthen fraud detection and to counter AI-powered attacks. D

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to seek, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. What you’ll be doing: Working closely with product design engineers, you'll perform PCB layout of high speed/high-density value-conscious PCBs for all business units at NVIDIA (GPU Desktop, Notebook, Automotive, Professional, Data Center, Deep Learning, and AI), all using Cadence PCB design tools. Focus will be on the complete development of CAD layout from symbol creation, floor planning, and detailed component placement, constraints management, with a concept of topology and signal/trace integrity. You will be responsible for the design releases required generation of artwork files, ODB&#43;&#43;, and electronic PCB documentation. Your designs will need to follow SI constraints, EMI/RFI control and FCC, UL and European regulations, IPC specifications and NRC regulations. What we need to see: B.Sc. in Electronic Engineer degree or equivalent experience. 5&#43; years of experience in high-speed design. Having a detailed knowledge of circuit design and consideration for layout, routing, and timing constraints, DFM, DFA, DFT constraints in volume manufacturing is needed for this role. Be an authority in using Cadence Allegro PCB design tools. Have a deep understanding of High-Density Interconnect PCB layout and PCB Signal Integrity. Knowledge in PCB ma

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions in AI for Chip Design and AI for Predictions in various use cases in manufacturing testing on some of the industry's most complex semiconductor chips. What you'll be doing: As a senior member in our team, you will work on innovating in the DFT Power, Thermal & Voltage Noise Methodology areas. This will include working on groundbreaking low power & thermal solutions for our manufacturing tests to be enabled at conditions that push the boundaries for our datacenter GPUs. Partner with multi-functional teams including Product Development & Power Architecture, implementing brand-new methodologies on hard-to-solve problems for improving our outgoing quality of chips. You will work on post-silicon data analysis for power to architect the next-gen solutions. In addition, you will help develop and deploy DFT methodologies for our next generation products using Applied ML & Gen AI solutions. Help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: BSEE (or equivalent experience) with 12&#43;, MSEE with 10&#43;, or PhD with 6&#43; years of experience in DFT design & power