Performance Architect Jobs

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you'll partner directly with Anthropic's researchers and engineering leadership to shape how we measure, understand, and improve Claude's coding capabilities. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move—and you'll be accountable for the technical decisions that ripple across the team and beyond. This is a senior individual contributor role for someone who has already built and owned systems at significant scale, and who is ready to operate as a technical leader: driving architecture, mentoring engineers, and influencing the direction of Claude Code itself. Responsibilities Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years Identify the highest-leverage engineering investments—often before anyone has asked for them—and drive them to completion Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering stan

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Technology, Data and Intelligence (TDI) Team The Technology, Data and Intelligence team is on a mission to accelerate Okta’s scale and growth. We bring world-class business acumen and technology expertise to every interaction. We also drive cross-functional collaboration and are focused on delivering measurable business outcomes. The Opportunity The Architect, Finance and Legal Technologies will define and deliver the technology architecture strategy across Finance and Legal functions, enabling data-driven decision-making, automation, and operational excellence. This role will combine deep technical expertise with innovative thinking to modernize and optimize core enterprise systems — including NetSuite or Oracle (ERP) , Conga , Anaplan , and Xactly . The successful candidate will leverage AI, machine learning (ML) , NLP , and intelligent automation to reimagine traditional financial and legal processes/systems, enabling predictive insights, streamlined operations, and smarter compliance. What you’ll be doing Enterprise Solution Architecture: Define the target-state architecture for Finance and Legal applications, ensuring alignment with enterprise strategy and growth objectives. Lead the design and implementation of end-to-end architectural solutions for Finance and Legal systems, ensuring integration, scalability, and performance across the enterprise. Develop and maintain a multi-year roadmap for modernization across ERP, FP&A, Lega

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. We are seeking an experienced and visionary AI Software Architect to lead the design and delivery of enterprise-scale AI and GenAI solutions. This role requires a strong foundation in software engineering, deep expertise in AI/ML frameworks, and a strategic mindset to architect secure, scalable, and high-performance systems. The ideal candidate will have a proven track record of hands-on development and architectural leadership across diverse AI domains.

About Us: Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com . The Role: We are seeking an innovative and experienced AI Architect to join our engineering leadership team. This is a strategic role that will be instrumental in designing and building the next generation of AI-powered features for our continuous testing platform. You will be responsible for architecting scalable and robust AI solutions that transform how our customers gain insights from their test data and production environments, and how they create tests. Responsibilities: Define AI Architecture: Lead the design and architecture of cutting-edge AI/ML solutions for new product offerings, ensuring scalability, performance, quality and reliability within a cloud-native environment. AI-Powered Insights (Test & Production): Architect AI systems to derive actionable insights from vast quantities of test run logs and analytics data. This includes identifying patterns, anomalies, and performance trends. Production Error Reporting Integration: Design AI solutions that integrate with our existing error reporting product to analyze production issues for mobile and web applications, providing deeper understanding and predictive capabilities. Unified Data Intelligence: Develop architectures for combining insights from both test runs and production data, creating a holistic view of application quality and user experience. Automated Failure Analysis & Remediation: Architect AI models and systems t

The role Scale builds enterprise AI systems deployed into production. As a Solutions Architect, you lead technical execution for enterprise deals in your vertical from initial discovery through deal close, and remain involved post-sale to support account growth. You own an assigned set of enterprise accounts. You conduct technical discovery, evaluate technical feasibility, build solution prototypes, and serve as the main technical point of contact for customer engineering and leadership teams. You work alongside three primary partners: the Account Executive (commercial owner), the Project Manager (delivery owner), and the Tech Lead (engineering lead for implementation). What you will own Technical discovery and qualification. Lead technical discovery and complete the Technical Qualification Checklist, evaluating feasibility, data readiness, integration requirements, security/compliance, evaluation readiness, and stakeholder alignment. Provide clear go/no-go recommendations for prospective deals. Evaluation and success criteria. Define performance metrics and evaluation criteria before proposal stage, including quality dimensions, baselines, evaluation datasets, and subject-matter expert access requirements. Customer workshops. Lead executive technical workshops for target use cases. Prepare pre-read materials and build working prototypes or live demos to validate proposed technical architectures. Statement of Work (SOW) input. Supply the technical input package for SOW creation (architectural approach, prototype findings, risks, dependencies, and assumptions) and review draft SOWs for technical accuracy. Post-sale account engagement. Maintain long-term technical engagement with signed accounts, identify expansion opportunities for new use cases, and share delivery feedback with GTM teams. Vertical technical assets. Develop reference architectures, demo environments, discovery templates, and evaluation frameworks for your assigned industry vertical. Wha

Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We’re seeking a Customer Solutions Architect (CSA) to help drive the adoption of Supabase across a diverse range of customers: from agile startups building towards their first launch to established brands with highly scaled workloads. At Supabase, CSA’s are responsible for the entire customer journey, working closely with our most valuable users to: Uncover and understand business and technical requirements. Design and architect technical solutions built on the Supabase platform. Work with customers to lead proof-of-value implementations. Provide regular customer engagements to answer complex questions, unblock adoption, and optimize scaled performance. Successful CSAs always put customers first, working closely with them to become trusted advisors who understand their needs, work as an extension of their team toward common success, and advocate on behalf of the customer within Supabase. You'll be joining our team to support Supabase Team & Enterprise customers, where you will be expected to lead and innovate around the following areas of responsibility: Discovery Lead technical discovery to uncover business and technical objectives, set appropriate expectations of the Supabase platform, and define the criteria for success, ensuring customers can receive the guidance they need to achieve it. Design, build, and present Supabase platform demonstrations to high-value customers. Leverage quality storytelling to present the value of the Supabase platform and of the entire Supabase Success team. Work directly with Growth team members to size deals, provide anticipated usage estimates, and identify potential workloads supported by the Platform. Proof-of-Value Onboarding Collaborate directly with customers to det

NVIDIA's invention of the GPU 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We're looking for a Senior Performance Compiler Engineer to join our team and work on the open-source Triton compiler project. This opportunity involves working with new technologies and using compilers to improve AI performance on NVIDIA GPUs. Your work will enable breakthroughs in large language models, agents, and other high-impact AI applications, accelerating both training and inference. You will be immersed in a diverse, supportive environment where everyone is inspired to do their best work, pushing the limits of what's possible. What you’ll be doing: Investigating the latest and future NVIDIA GPU hardware architecture and programming models. Working on the frontier of AI by understanding advanced algorithms (like attention sinks and MoEs) and numerics (like block-scaled floating point) to identify new opportunities for optimization. Designing and implementing compiler technology using MLIR to optimize high-level kernel descriptions (written in Triton's Python DSL), with a focus on generating efficient, low-level GPU code. When vital, you'll also be able to use inline PTX to hand-tune critical code paths and extract peak performance from the hardware. Engaging in a dynamic, iterative process of optimization—sometimes starting with the kernel, sometimes with the compiler—to find the most efficient path to peak performance. Collaborating with teams across NVIDIA, including hardware architects and the CUDA compiler team, t

We are now looking for a Senior CPU Performance Developer Technology Engineer. NVIDIA is seeking an outstanding computer scientist to join its Compute Developer Technology (Devtech) team. This role focuses on research and development techniques to optimize key Cloud and HPC CPU workloads on NVIDIA’s CPU. This includes performing in-depth analysis and optimization to ensure the best possible performance on the current and future generations of NVIDIA CPU. What you will be doing: Engage directly with the developer community and experts in their field to understand and address the problems they are solving today and tomorrow. Guide key framework and application developers, contribute directly to their software stack, libraries or develop reference code. Join efforts with diverse groups at NVIDIA such as architecture, research, libraries, tools, system software, and product management teams to constantly improve our products. Influence the design of NVIDIA next-generation architectures and software stack by investigating the impact on application performance and developer efficiency. What we need to see: A BS, MS, or PhD degree in computer science or equivalent experience, and 8+ years of relevant experience. Strong knowledge of C/C++ and/or Fortran with solid understanding in software design, programming techniques, and algorithms. Hands-on experience with benchmarking and optimizing enterprise and cloud workloads. Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundar

CSQ427R265 Manager, Delivery Solutions Architect – Healthcare & Life Sciences (HLS) United States – Apply Now As a Delivery Solutions Architect (DSA) Manager supporting our Healthcare & Life Sciences (HLS) segment, you will lead a team of DSAs responsible for accelerating production-grade Data and AI workloads across some of the most regulated, mission-critical environments in the world. Your organization will be the technical engine behind how payers, providers, med-tech, and biopharma customers modernize clinical intelligence, streamline R&D operations, and operationalize secure AI at scale on the Databricks Data Intelligence Platform. You will define strategy, set the execution rhythm, and coach a team capable of navigating long implementation cycles, strict compliance requirements, and multi-stakeholder enterprise programs—all while ensuring customers achieve clear, measurable outcomes. You will report to the Director of Delivery Solutions Architecture for the HLS Business Unit. The Impact You Will Have: Build and Lead a High-Performing HLS Delivery Team Hire, develop, and inspire DSAs who can navigate clinical, scientific, and operational workloads. Establish a performance culture grounded in accuracy, velocity, and architectural excellence. Accelerate Production in Highly Regulated Environments Guide your team to minimize onboarding friction, remove blockers, and bring critical HLS use cases—clinical analytics, real-world evidence, supply-chain intelligence, quality systems, AI/ML—into production quickly and safely. Drive Compliance-Aware Technical Excellence Ensure your team maintains deep expertise in the Data Intelligence Platform alongside core HLS requirements such as PHI-compliant architectures, HIPAA/GxP controls, auditability, lineage, and secure ML/AI operations. Partner for Growth With Sales and Field Teams Collaborate tightly with Sales, SAs, Support, Emerging Technologies, and Professional Services to drive adoption, increase MAU/

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Partner Solutions Architect, Strategic Partnerships, you'll own the technical strategy and validation of joint work with GitLab's strategic partners: hyperscalers, artificial intelligence (AI) labs, AI-native companies, and development, security, and operations (DevSecOps) vendors. You'll work with partners, Product, and Research and Development (R&D) to turn partner and customer needs into integrations, influence product design, and build the business case for each joint effort, from the first architecture review to a shipped integration. In this role you will also own the AI model evalua

Location: Doha, Qatar | Practice Area: Data & Analytics | Type: Permanent The Role Capco is a global technology and business consultancy, focused on the financial services and energy sectors. We combine innovative thinking with deep industry expertise to help our clients solve complex business and technology challenges. We are looking for an experienced Data Architect to lead the design and evolution of enterprise data architectures across complex transformation programmes. The role combines strategic architecture, modern data platform expertise, and technical governance to deliver scalable, secure, and future-ready data solutions. You will work closely with business and technology stakeholders to translate requirements into practical architectural solutions, establish common standards, and guide engineering teams through implementation. What You'll Do Define target-state architectures, data models, domain structures, and integration patterns, ensuring alignment with business objectives, enterprise standards, and non-functional requirements. Design scalable data platforms and solutions leveraging technologies (including but not limited to Snowflake, dbt, and cloud-native services), with a focus on performance, security, resilience, and cost efficiency. Architect modular, microservices-based solutions incorporating REST APIs, API gateways, and modern data ingestion and integration patterns. Establish and promote consistent data modelling, naming conventions, semantic definitions, and data management standards to support interoperability, discoverability, and reuse. Collaborate with stakeholders and engineering teams to translate business and technical requirements into architecture designs, assess source-system integration feasibility, and validate proposed solutions. Lead technical design reviews, assess architectural decisions, dependencies, and risks, and provide practical recommendations to maintain consistency and minimise implementation rework. Facilitate a

Become a part of our caring community The Senior Business Intelligence Architect responsible for building business intelligence processes for data consumption and business decision making, based on the organization’s data structure. The Senior Business Intelligence Architect work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. Partner with business and technology stakeholders to design, support, and enhance business intelligence solutions. Understand and prioritize data and information needs and translate them into scalable analytics solutions. Solve complex business problems using internal and external data sources. Design and optimize business intelligence architecture, processes, standards, and solution performance. Create testing methodologies, validation criteria, and quality controls for business intelligence solutions. Develop governance standards, policies, procedures, and data quality metrics. Translate requirements across business, project management, and technical teams. Research emerging technologies and develop business cases for new business intelligence solutions. Provide technical guidance and consultation to business and technology teams to drive effective use of business intelligence solutions. Make decisions on moderately complex to complex technical and architectural issues with minimal direction. Required Qualifications Bachelor's degree and 5 or more years of experience in data analysis, business intelligence, data architecture, or related disciplines. Advanced experience working with large and complex data sets within large healthcare organizations. Advanced proficiency in SQL, data modeling, and analytics platforms. Experie

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++ 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+ years of proven experience in computer archit

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Solution Architect, Epic STARS is responsible for the design, optimization, and strategic direction of Epic-based solutions supporting Medicare Star Ratings, HEDIS, and NCQA quality measure performance. This role bridges clinical quality strategy and technical Epic build, ensuring that quality measure workflows, data capture, and reporting infrastructure within Epic Healthy Planet and related modules accurately support Star Ratings improvement initiatives across the organization. The ideal candidate combines deep Epic technical expertise with a strong understanding of value-based care, population health, and quality measurement methodologies. Key Responsibilities Solution Architecture & Design Architect and design Epic Healthy Planet, Reporting Workbench, Clarity/Caboodle, and SlicerDicer solutions to support Medicare Star Ratings, HEDIS, and NCQA measure tracking and gap closure. Translate quality measure specifications (CMS Star Ratings, HEDIS technical specifications, NCQA requirements) into functional and technical Epic build requirements. Design scalable data models and reporting frameworks that support accurate, auditable quality measure calculation and Star Ratings performance monitoring. Own the end-to-end technical roadmap for Epic STARS-related builds, including registries, care gap alerts, best practice advisories

We're building a new generation of data center CPUs at NVIDIA — Vera, Grace, and future designs purpose-built for accelerated computing and the workloads defining infrastructure. Data analytics is one of the highest-value arenas for CPU performance, and we need someone to own NVIDIA's strategy and value proposition there! This role sits at the nexus of go-to-market, software architecture, platform architecture, performance measurement, and competitive positioning — making it a true workload strategy role, not a benchmark-running one. From TPC-H and TPC-DS methodologies to collaborative solutions with the world's leading database and analytics vendors, the scope is broad and the impact is real. We're looking for a product manager who deeply understands how CPUs win in practice and can turn that insight into roadmap decisions, customer proof points, and field-ready positioning. What you'll be doing: Taking responsibility for the workload and market approach for data analytics and data processing on NVIDIA data center CPUs — identifying priority workloads, customer scenarios, and the benchmarks and proof points that should guide the roadmap. Leading the complete lifecycle of benchmarks like TPC-H and TPC-DS: methodology, cluster and benchmarking architecture, competitive analysis, and market positioning. Translating disk, cache, memory, I/O, clustering, availability, and software behavior into concrete CPU, platform, and system requirements. Then advising architecture and platform teams on what to build and why. Building the quantitative value proposition across performance, infrastructure, software licensing, power, and TCO to position NVIDIA CPUs against challenging architectures. Working alongside external ISVs, database and analytics vendors, cloud providers, and strategic customers to verify requirements and build joint solutions and go-to-market approaches. Redefining ben