Technical Compute Qualification Manager Jobs

What you’ll do Understand the needs of the teams that use our platforms and the customers who depend on them. Use product data, operational feedback, and recurring quality issues to identify the highest-impact problems, and then solve them. Turn recurring needs into shared services, tools, and workflows that reduce duplicated work. Exercise judgment about when to build a reusable capability, use an existing solution, or take a simpler approach. Work directly with product, engineering, and operational teams to understand their workflows, identify recurring problems, and anticipate the capabilities they will need next. Prioritize platform investments across new product enablement, reliability, efficiency, and technical debt. Make clear tradeoffs between near-term delivery and long-term flexibility. Define and track success through business impact, reliability, cost to serve, and reduced manual work, connecting these measures to customer and business outcomes. Partner closely with engineering on technical tradeoffs, build-versus-buy decisions, and rollout plans. Write clear requirements and drive delivery from problem definition through launch and iteration. Qualifications Experience owning product strategy and execution on technical products and platforms, or shared systems used by multiple teams such as billing and monetization, identity and access, developer platforms, data and experimentation, internal tooling, support, etc. Strong technical fluency. You can reason about APIs, data flows, system dependencies, and failure modes, and work closely with engineers on consequential tradeoffs. Strong analytical skills. You can investigate problems independently, define meaningful metrics, and evaluate the impact of platform investments. Strong written and verbal communication, with the ability to align teams around priorities and make difficult decisions when their needs compete. High ownership and sound judgment in a fast-moving environment. You are comfortable moving be

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The RL infrastructure team is looking for an engineer to help develop our evaluation infrastructure. RESPONSIBILITIES: Build highly reliable, efficient, and easy to use infrastructure that runs all our evaluations at scale Collaborate closely with modeling & evaluation teams on developing new evals, maintaining evaluation signal quality, and building internal tooling to support training our next-generation of models Identify and resolve performance bottlenecks in all layers of the eval infrastructure stack, including inference, capacity fleet management, asynchronous eval orchestration, and more BASIC QUALIFICATIONS: Experience in building, debugging, and optimizing efficiency of large-scale distributed systems Willingness to dive deep and solve hard problems at all levels of the stack PREFERRED SKILLS AND EXPERIENCE: Experience in LLM inference Experience in GPU compute management, workload scheduling, and dynamic resource optimization Experience in developing interfaces for comparing models and evals COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehen

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Staff Design Engineer at Micron, you will play a pivotal role in highly technical teams! You will be responsible for crafting and analyzing digital circuits used in memory product development. This role demands technical expertise and leadership to efficiently implement and optimize NAND circuits. You will collaborate with various internal and external teams to ensure our products meet high standards of performance, quality, and reliability! Responsibilities Interpret device and system specifications to deliver required functionalities Participate in the conception and development of new circuits Define and design composition architecture specifications for new features. Support the creation of schematics and/or RTL blocks Define best known design and verification practices and communicate them to the department Perform RTL and synthesized netlist (gate level) verification at block, subsystem, and full chip level Facilitate netlist bring up to achieve basic functionality Responsible for delivering design simulation including post layout Design verification plans for new and existing features and check desired behavior in Verilog Collaborate with Product Engineering on validation plans and review silicon results Assist in silicon design validation, reticle experiments, qualification, and tape-out revisions as needed Minimum Qualifications Bachelor’s degree in Computer Engineering or Electrical Engineering <

The CAD (Computer-Aided Design) Facilities Specialist will assist manage revise and maintain client master technical drawings using CAD software. Also Manage CAD & Move request following the BOMA standard convention and process established in the SOP using Client CAFM tool.. He/She will collaborate with members of the CAD team OPMM Projects and Facilities Management teams as well as client partners to maintain and provide accurate master CAD drawings Address: Sodexo India Services Private Limited, North Regional Office Skymark One Tower E- 10th Floor Plot No. H-10/A Sector 98 Noida Gautam Buddha Nagar Uttar Pradesh 201301 Facility: MSD SUPPORT NAD Qualification: Graduate Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP549589

Opportunity Get Well is looking for an experienced Senior Software Engineer to join our healthcare technology team and build next-generation, cloud-native and on-premise environment healthcare applications. You will play a key role in designing, developing, and deploying scalable, secure, and high-performance solutions that enable healthcare organizations to deliver better patient outcomes. The ideal candidate is passionate about software engineering, cloud technologies, AI-driven development, and healthcare interoperability standards. You will collaborate with cross-functional teams to build innovative products that meet healthcare compliance, security, and regulatory requirements. Key Responsibilities Design, develop, and maintain scalable cloud-native and on-premise environments, using modern software engineering practices. Build and enhance distributed microservices-based systems with high availability, performance, and security. Develop RESTful APIs and enterprise-grade backend services. Build responsive and modern user interfaces using contemporary frontend frameworks. Design and implement containerized applications using Docker and Kubernetes. Work with messaging systems and distributed event-driven architectures. Develop AI-powered applications leveraging Large Language Models (LLMs) Utilize AI-assisted development tools to improve engineering productivity and software quality. Build secure, compliant software aligned with healthcare regulations and industry best practices. Design and implement CI/CD pipelines and participate in DevOps initiatives. Collaborate closely with product managers, architects, QA engineers, and clinical domain experts. Integrate healthcare applications with industry interoperability standards including HL7, FHIR, and CDA. Participate in architecture discussions, code reviews, mentoring, and continuous improvement initiatives. Required Qualifications Bachelor's or Master's degree in Computer Science or related technical discipline. 5

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We are seeking a highly technical, data-driven Growth Engineer to help scale our product and expand key user metrics across acquisition, activation, retention, and monetization. Growth Engineering sits at the intersection of engineering, product, and marketing—leveraging code, experimentation, and analytics to uncover opportunities and deliver measurable impact. What You’ll Do Drive Experimentation & Optimization Design, implement, and analyze rapid A/B and multivariate tests to validate hypotheses and improve key KPIs. Identify bottlenecks in user funnels and develop technical solutions to improve conversion rates throughout the user lifecycle. Build and Scale Growth Features Build growth-oriented product features such as onboarding flows, referral systems, and automated engagement loops. Develop scalable code and infrastructure that supports growth initiatives and experimentation frameworks. Leverage Data & Metrics Collaborate with data teams to instrument tracking, build dashboards, and derive insights from user behavior data. Use SQL and analytics tools to deeply analyze cohorts, engagement metrics, and experiment outcomes. Cross-Functional Collaboration Partner closely with product managers, designers, marketers, and data scientists to align on growth goals and execution plans. Translate business goals into technical requirements and implement pragmatic solutions that drive sustainable growth. Continuous Innovation Stay updated on industry trends and growth-oriented technologies and propose new tactics to accelerate growth. Automate repetitive tasks and build internal tools to empower faster experimentation and execution. Required Qualifications Bachelor’s degree in Computer Science, Enginee

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary We are looking for a highly skilled Senior Image Quality Engineer to take ownership of image quality development for our IP camera portfolio. The ideal candidate has deep expertise in camera ISP tuning, 3A algorithm optimization, sensor characterization, and embedded imaging pipelines. This role involves close collaboration with cross-functional teams and offers significant technical ownership. Key Responsibilities Lead end-to-end image quality development for assigned camera platforms. Perform ISP tuning across noise reduction, sharpening, color correction, gamma, HDR/WDR, temporal filtering, and related modules Develop, evaluate, and optimize 3A algorithms (AE / AWB / AF). Conduct both subjective and objective IQ evaluations using lab tools and real-world scenes. Collaborate with firmware, hardware, optics, and product teams to resolve IQ issues and improve performance. Perform sensor analysis, lens shading tuning, black-level calibration, and other calibration tasks. Support ISP integration and optimization on Ambarella and SigmaStar (sstar) SoCs. Build automation scripts and analysis tools using Python or C/C++. Work with manufacturing and validation teams to ensure consistent IQ quality in production. Candidate Profile & Qualifications Bachelor’s or Master’s in Electrical Engineering, Computer Science, Imagi

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary Experienced individual contributor responsible for independently accomplishing customer-focused system validation for enterprise and data-center SSD products. Owns end-to-end validation for assigned platforms, contributes to validation planning and test development, applies advanced technical judgment, and provides technical guidance without formal management duties. Responsibilities: • Independently plan and complete customer-specific SSD/system validation cycles and qualification runs. • Set up, configure, and ensure the ongoing validation of environments including systems, firmware, OS, and platform settings. • Analyze validation results, identify failures, and determine next steps including debug and risk assessment. • Develop, extend, and maintain validation test cases, scripts, and automation. • Serve as technical owner for assigned projects, providing mentorship and sharing guidelines across teams. • Applying Artificial Intelligence to improve day-to-day working efficiency Minimum Qualifications: • Bachelor’s degree in Computer science, Electrical/Computer Engineering, or a related field with 6 years of experience in customer, system, or product validation roles. • Strong knowledge and experience with NVMe and PCIe protocols and debugging skills across system, firmware, and hardware domains. • Hands-on experience accomplishing system-level validation in complex hardware/software

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Responsibilities Low-Latency Architecture: Design, provision, and maintain ultra-low latency AWS and hybrid network topologies, including VPCs, exchange gateways, and regional deployment expansions. Performance Tuning: Optimize Linux OS kernels and compute performance using CPU isolation (isolcpus), AWS Cluster Placement Groups, and enhanced networking (ENA/ENI). Infrastructure as Code: Drive infrastructure automation, provisioning, and configuration management using Terraform and Ansible. Platform Scaling: Architect infrastructure to support expanding Exchange Market Making (EMM), Project Market Making (PMM), and TradFi exchange convergences. Observability & Reliability: Build telemetry and monitoring pipelines using Grafana Cloud and Alloy to ensure continuous visibility into platform performance. Technical Leadership: Guide the technical roadmap, mentor junior engineers, and act as an escalation lead for critical system incidents. Key Qualifications 5+ years of experience in Infrastructure Engineering, Systems Engineering, or SRE, with a focus on low-latency electronic trading environments . Deep Linux Internals Expertise: Advanced experience with kernel-level performance tuning, memory management, and network I/O optimization (isolcpus, network profiling, ring

Director of Engineering, Physical AI Role Overview The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play. Key Responsibilities: Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads Required Qualifications: Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentorin

Zoox is on an ambitious journey to develop and safely deploy a full-stack autonomous mobility solution for cities. We are seeking a Senior / Staff Systems V&V Engineer to join the Platform Safety Assurance team within the System Design and Mission Assurance (SDMA) team, applying sound systems and verification engineering to fail-safe and fail-operational behaviors to realize this mission. At Zoox, we take systems engineering seriously and know that your efforts will be critical for delivering a driverless robotaxi service at scale. In this role, your work will directly impact our fleet’s reliability and fail-operational capabilities through your efforts on the compute-platform safety case. In this role, you will: Understand and review vehicle response strategies for fault conditions from all potential sources Develop and manage test planning and execution for safety and fail-operational responses Design and direct system-level V&V campaigns, establish novel testing methodologies, establish robust testing metrics, and ensure the robotaxi meets end-to-end safety and fail-operational requirements for Zoox milestones including for highway driving Work and collaborate closely with system safety, perception, firmware, vehicle controls, and planning engineering teams to understand and review requirements, vehicle response strategies, and secure buy-in for new processes for fault conditions Analyze, track, and report complex test results to drive platform improvements, documenting new methodologies and V&V reports Apply expertise in verification and validation to the compute-platform safety case, accelerating new platform development, and establishing robust fail-safe and fail-operational behaviors. Qualifications BS or higher degree in a technical field, such as Electrical, Computer or Systems Engineering. 5+ years of specialized experience, including demonstrable experience in one or all o

Opportunity Overview: We are looking for a Senior Clinical Configuration Analyst to play a key role in the technical configuration of platform requirements for Cohere’s Platform-as-a-Service (PaaS) clients. Reporting into our Senior Manager, PaaS Value Delivery, you will be part of a small, fast-paced team working directly with client-facing team members to understand and deliver key clinical configurations that are integral to helping new and existing clients meet their prior authorization automation goals. Ultimately, the work you do will have a direct impact on the growth of the company and our ability to assist more patients at a time in their healthcare journey when they need help most. What you’ll do: Ensure thorough understanding of client’s technical requirements to facilitate seamless configuration of platform requirements during new client implementations Test configurability of new product functionality, or enhanced existing functionality, built to accommodate custom client requirements Define test scenarios and success criteria for all new and existing client platform configurations Execute on configuration of platform requirements in accordance with project timelines and client expectations Triage and resolve technical issues, during end-to-end testing or post-implementation, in a timely manner to ensure client satisfaction Serve as a technical SME for client-facing analysts during each stage of the customer lifecycle: providing education and answers to questions around configurability of client platform requirements; occasionally interfacing directly with clients to address issues Collaborate with Product, Development, Design, and Engineering to scope, develop, and implement internal configuration management tools that will help scale configuration work Required Qualifications: Must-haves 3-6 years of professional experience in a Configuration Management role; Bachelor’s degree in Computer Science, Systems Engineering, or related field Problem-Solving

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Help power the development of Replit Agent as an engineer in the Replit Cloud organization. The Replit Cloud team builds Replit’s first party cloud infrastructure so users can build, scale, and succeed entirely on Replit. They manage databases, application storage, app publishing and hosting, development/production environment splitting, custom domains, and more. By having a set of first party services that integrate seamlessly, you will power one of Replit’s key product differentiators. You will: Work closely with designers and product managers, to quickly iterate on Replit Cloud to continually grow and improve the product. Drive full-stack feature development from conception to deployment, taking ownership of key product initiatives. Contribute to architectural decisions that shape the future of our product. Ship product and build infrastructure as a true full stack builder using: TypeScript, React, CSS, Postgres, Go, and Terraform. Examples of what you could do: Leverage our unique cloud infrastructure to build differentiated full product experiences, helping non-technical or semi-technical users remove roadblocks to success. Leverage AI agents to proactively optimize or suggest app improvements on latency, reliability, SEO, and more. Be part of engineering leadership, steering teams towards the highest impact work and supporting initiatives across the company. Required skills and experience: Bachelor’s degree in Computer Science or related field, OR equivalent real-world experience in engineering roles. Comfortable building with our tech stack: TypeScript, React, Go Preferred Qualifications Experience building user facing platform as a service products. Experience with AI/agentic systems. Previous e

We are seeking a Staff Engineer to join our growing team to provide technical direction and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day. We value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We're looking to speak with candidates based in the New York City area for our hybrid or in-office working models. Position Expectations Work closely with product management, product engineering, product design peers as well as other teams within the company to define the first version and future evolution of the service Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in building core components for high scale compute and data distributed systems 8+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software s

We are seeking a Staff Engineer to join our growing team to provide technical direction and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day. We value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We're looking to speak with candidates based in the New York City area for our hybrid or in-office working models. Position Expectations Work closely with product management, product engineering, product design peers as well as other teams within the company to define the first version and future evolution of the service Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in building core components for high scale compute and data distributed systems 8+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software s