Performance And Systems Engineer Jobs

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier's mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Role As a Research Scientist, you will work at the frontier of generative and agentic AI: advancing Large Language Models (LLMs) , Vision-Language Models (VLMs) , and AI agents that reason, plan, and use tools to solve real-world problems. Your research will span post-training (SFT, RLHF/RLVR), reasoning and test-time scaling, multimodal intelligence, and autonomous agentic systems. You will shape Appier's core AI capabilities, publish at top AI/ML conferences, and collaborate with scientists and engineers to turn frontier research into product impact. Responsibilities Research and build agentic AI systems : reasoning, planning, tool use, memory, and multi-agent collaboration, powered by LLMs and VLMs. Advance post-training techniques (SFT, RLHF, RL with verifiable rewards, preference optimization) to improve model capability, alignment, and reliability. Improve the performance, efficiency, and scalability of foundation models across training, inference, and test-time compute. Design rigorous evaluations and benchmarks for models and agents in real-world scenarios. Collaborate with cross-functional teams to ship research into production applications. Track frontier research, propose new directions, and publish key findings at leading AI/ML venues. About You Minimum Qualifications Master's degree or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field, with research experience in AI/ML. Deep understanding of modern foundation models, with expertise in at least one of: LLMs, VLMs/multimodal models, RL, or agentic

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: We are seeking an experienced Mechanical Commissioning Lead to lead the buildout, startup, and handover of mechanical systems for SpaceXSI's high-performance data centers. In this senior hands-on leadership role, you will direct commissioning, testing, troubleshooting, and turnover of critical cooling, air handling, and fluid distribution systems that support next-generation AI supercomputing infrastructure. You will lead a team of commissioning technicians while working closely with construction, engineering, operations, EPC contractors, and OEM vendors to deliver safe, reliable, and high-quality mechanical systems. This is a full-time, onsite role with extensive travel to SpaceXSI data center construction sites across the United States. RESPONSIBILITIES: Lead and execute all mechanical commissioning activities for HVAC systems, chillers, cooling towers, CRAC/CRAH units, pumps, heat exchangers, piping systems, hydronic loops, and associated controls in hyperscale data center environments. Direct functional performance testing, airflow/water flow verification, system balancing, integrated system testing, and system turnover to operations. Oversee troubleshooting

Your wellbeing, our mission. Join a company shaping a healthier world. GET TO KNOW US At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company. We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. Join us in redefining the future of wellbeing! THE OPPORTUNITY We are hiring a GTM Program Manager in our New Markets - Europe area in Brazil ! This is a Remote – Brazil position, meaning you can work from anywhere within the country. Please note that this role is only open to candidates in Brazil. The GTM Engineering team orchestrates demand generation for Wellhub's commercial teams by building systems that deliver qualified opportunities to BDRs and Account Executives faster, with less manual effort. Operating at the intersection of Sales Development, Sales, Revenue Operations, and Marketing, you will own a GTMe workstream for a specific region and segment, acting as both the technical and strategic counterpart to your local Sales leadership. This is a hybrid role where you will design signal-based outbound strategies with Sales stakeholders, build them directly into our tech stack (Clay, Salesforce, Salesloft), and monitor performance to maximize ROI. YOUR IMPACT Design Signal Logic: Identify "why now" triggers for target accounts (e.g., job changes, tenure, company growth signals, CRM re-engagement). Architect End-to-End Outbound Plays: Own the execution flow:

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What’s the opportunity? As a Senior Sales Operations Manager, you will be a strategic and operational partner to Fin’s Sales organization, helping build the systems, processes, reporting, and operating rhythms that enable our go-to-market teams to scale effectively. You’ll work at the intersection of Sales, Finance, Business Systems, Data Engineering, Marketing, and GTM leadership. You’ll own critical sales operations programs across forecasting, pipeline management, territory and quota planning, compensation, performance reporting, and process optimization. This is a high-impact role for a systems thinker and commercially minded operator who can move comfortably between detailed analysis, cross-functional program management, and executive-level recommendations. You’ll have the opportunity to improve how Fin’s sales organiz

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Role As a Research Scientist, you will work at the frontier of generative and agentic AI: advancing Large Language Models (LLMs) , Vision-Language Models (VLMs) , and AI agents that reason, plan, and use tools to solve real-world problems. Your research will span post-training (SFT, RLHF/RLVR), reasoning and test-time scaling, multimodal intelligence, and autonomous agentic systems. You will shape Appier's core AI capabilities, publish at top AI/ML conferences, and collaborate with scientists and engineers to turn frontier research into product impact. Responsibilities Research and build agentic AI systems : reasoning, planning, tool use, memory, and multi-agent collaboration, powered by LLMs and VLMs. Advance post-training techniques (SFT, RLHF, RL with verifiable rewards, preference optimization) to improve model capability, alignment, and reliability. Improve the performance, efficiency, and scalability of foundation models across training, inference, and test-time compute. Design rigorous evaluations and benchmarks for models and agents in real-world scenarios. Collaborate with cross-functional teams to ship research into production applications. Track frontier research, propose new directions, and publish key findings at leading AI/ML venues. About You Minimum Qualifications Master's degree or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field, with research experience in AI/ML. Deep understanding of modern foundation models, with expertise in at least one of: LLMs, VLMs/multimoda

The Search Systems team at MongoDB builds the core infrastructure behind MongoDB Search and Vector Search. Our mission is to make advanced search capabilities feel native to the database, so developers can build powerful, scalable applications without standing up separate systems or compromising transactional performance. We are the team behind mongot, the indexing and query execution engine that powers Search and Vector Search across MongoDB Atlas and self-managed deployments. Our work sits at the intersection of distributed systems, databases, and search infrastructure. We integrate Apache Lucene with MongoDB using native query operators like $search and $vectorSearch, build asynchronous change-stream-driven indexing pipelines that scale independently from transactional workloads, and support deployments across cloud, on-prem, and hybrid environments. Engineers on this team own meaningful subsystems, influence architectural decisions, and work on core database technology used by developers globally. We are looking to speak to candidates who are based in San Francisco, CA for our hybrid working model. What You'll Do This is a rare opportunity to set the technical direction for one of MongoDB's most strategic investments. You will define the architecture of a self-contained search system that spans Community, Enterprise, and Atlas, while guiding how we integrate AI-native capabilities from Voyage AI. This is not a chance to influence a feature. It is a chance to shape the foundation of how developers everywhere build applications with MongoDB. In this role, you will Own the cross-system data infrastructure layer for MongoDB's next-generation Search and Vector Search capabilities, carrying outcomes that span 6-18 months Define the technical roadmap for Atlas Search, identifying gaps, proposing solutions, and driving alignment across engineering teams globally Lead the architecture and evolution of the core mongot and Mongo Management Service infrastructure, making du

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role Verkada is the leading cloud-managed physical security platform, uniting hardware, software, and AI to deliver enterprise-scale security. As our ecosystem grows, our Mobile Core team is pivoting to a high-leverage Platform model. The Mobile Core team provides the underlying systems, frameworks, and components used by product teams across the company to build high-performance mobile experiences. In this role, you will be a key technical contributor "Native Systems Layer"—ensuring that our mobile foundation is reliable, scalable, and easy for other teams to build upon. You will also focus on the specialized native challenges that cannot be solved with web technology, ensuring the Verkada mobile experience remains fast, secure, and deeply integrated with the Android OS. What You’ll Do Native UI Platform: Maintain and evolve our existin

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing Help shape the future of golf innovation as a CAD/CAM Programmer and Prototype Engineer . In this highly hands-on role, you will partner closely with R&D and engineering teams to transform new product concepts into functional prototypes that support next-generation golf equipment development. Using CAD/CAM software and advanced CNC machining technologies, you will design, program, machine, and refine prototype club heads, components, and precision fixtures. You will play a key role in bringing ideas from concept to physical reality by developing machining strategies, optimizing designs for manufacturability, and solving complex manufacturing challenges throughout the product development process. This role combines CAD/CAM programming, prototype machining, fabrication, and product development collaboration. Successful candidates enjoy working both at the computer and on the shop floor, building and improving prototypes while contributing to innovative product solutions. What You Bring Bachelor's degree in Mechanical Engineering or a related field, or equivalent professional experience in CAD/CAM programming, CNC machining, and prototype development. 3&#43; years of CAD/CAM programming experience, preferably with Siemens NX, Mastercam, Fusion 360, or similar CAD/CAM platforms. Experience with other advanced CAM systems will also be considered. <

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a New Graduate Vehicle Performance Engineer to support the analysis, design, and optimization of next-generation autonomous defense systems. Depending on your experience and interests, you may contribute to aerodynamics, aerothermal analysis, thermal systems, vehicle performance, trajectory analysis, or multidisciplinary design analysis and optimization (MDAO). You will work alongside engineers across vehicle design, propulsion, structures, GNC, systems, and test to evaluate vehicle concepts, understand key performance drivers, and guide engineering decisions. This role is ideal for an analytically strong engineer who enjoys solving multidisciplinary problems and using modeling, simulation, and test data to improve real-world vehicle performance. Key Responsibilities Analyze the aerodynamic, aerothermal, thermal, and mission-level performance of aircraft, missiles, and other autonomous defense platforms. Develop analytical models and simulation tools to evaluate vehicle performance across operating conditions and mission profiles. Perform aerodynamic and thermal analyses using computational, reduced-order, and first-principles methods. Support vehicle sizing, configuration development, trajectory analysis, and multidis

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is searching for an experienced Cycle Analyst/Designer to guide the engine cycle model towards further maturity, validate test data and develop new engine cycles from a clean sheet. The analyst will own the cycle deck and be responsible for guidance on engine capability and improvement. They will work daily with aerodynamic, structural and mechanical designers to improve upon current designs and guide the future of the engine(s). We are on a mission to deliver high-performance small turbine engines at scale needed by rethinking the fundamentals to enable high-rate, scalable manufacturing. This is an opportunity to shape the future of propulsion from the ground up, and it takes the best people to make that happen. We are looking for those who thrive in diverse, fast-paced, high-expectation environments and are driven to build what’s never been built before. Key Responsibilities Improve cycle model in NPSS and develop cycle models from scratch. Create analytical tools to perform basic analysis. Develop tools/workflows for speeding up repetitive tasks. Work with aerodynamic, structural and mechanical engineers to develop the ultimate components. Develop test procedures for determining performance of components. Analyze test data wit

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Software Development Engineer to join our team. This is a hybrid role, reporting to the Senior Director of Software Engineering in the Engineering department based out of Hyderabad. You will join the Engineering team that built the world’s largest cloud security platform from the ground up. What you’ll do (Role Expectations) Understand how to build and operate high scale systems Provide service and product wide architectural guidance, and drive impactful technical decisions Establish and enforce best practices for coding, testing, observability, and CI/CD pipelines to maintain high-quality, production-ready services Drive cross-team collaboration and lead initiatives in performance optimization, reliability improvements, and adoption of new technologies/tools to accelerate feature velocity Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building t

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. Energy Strategy and Management Develop and successfully implement a site energy strategy aligned with business, sustainability, cost reduction, decarbonization, and corporate environmental goals. Set annual and long-term targets for energy consumption, energy intensity, renewable energy, and cost optimization. Prepare detailed energy roadmaps covering efficiency, electrification, renewable energy, storage, demand management, and low-carbon technologies. Conduct detailed energy reviews to identify SEUs, operational variables, and energy-saving opportunities. Establish and maintain Energy Baselines, EnPIs, energy performance tracking, budgets, forecasts, and renewable energy demand forecasts. Analyze utility consumption versus production, utilization, operating hours, weather, and other variables. Support energy security, grid reliability, alternate supply arrangements, and energy price risk management. Lead ISO 50001 implementation and employ Agentic AI for renewable energy dashboards. B. Projects in Renewable Energy Identify, evaluate, and implement renewable energy projects including Rooftop/Ground-mounted Solar PV, Wind and Solar-Wind Hybrid, Battery Energy Storage Systems (BESS), Captive and Group-Captive Projects, Third-Party Open Access Arrangements, Renewable Energy Certificates (RECs) and Environmental Attributes. Conduct technical and commercial feasibility studies by reviewing load profiles, contracted demand, grid connectivity, land availabil

About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we’re building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve. Our work focuses on three pillars: high-performance, asynchronous, zero-copy tensor and optimizer-state-aware data movement; performant, high-uptime, fault-tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long-lived, job-specific and user-provided processes. We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model-stack, research, and platform teams. Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products). About the Role As a Training Performance Engineer, you’ll drive efficiency improvements across our distributed training stack. You’ll analyze large-scale training runs, identify utilization gaps, and design optimizations that push the boundaries of throughput and uptime. This role blends deep systems understanding with practical performance engineering — analyzing GPU kernel performance, collective communication throughput, investigating I/O bottlenecks, and sharding our models so we can train them at massive scale. You’ll help ensure that our clusters are running at peak performance, enabling OpenAI to train larger, more capable models with the same compute budget. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Profil

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Software Development Engineer to join our team. This is a hybrid role based in Hyderabad, reporting to the Director of Software Engineering. You will join the Engineering team that built the world’s largest cloud security platform from the ground up. As a leader in our multitenant architecture, you will bring your vision and passion to help organizations worldwide harness speed and agility with a cloud-first strategy. What you’ll do (Role Expectations) Understand how to build and operate high scale systems Provide service and product wide architectural guidance, and drive impactful technical decisions Establish and enforce best practices for coding, testing, observability, and CI/CD pipelines to maintain high-quality, production-ready services Drive cross-team collaboration and lead initiatives in performance optimization, reliability improvements, and adoption of new technologies/tools to accelera

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary We are seeking a Facilities Engineer to lead engineering, maintenance, and continuous improvement initiatives across critical facility systems that support advanced semiconductor manufacturing. This role is responsible for ensuring the safety, reliability, efficiency, and sustainability of facility infrastructure while supporting site growth and operational excellence. The successful candidate will work closely with cross-functional teams to optimize system performance, support infrastructure expansion projects, drive digitalization initiatives, and achieve site, departmental, and corporate objectives. Key Responsibilities Safety, Compliance & Reliability Champion environmental, health, and safety (EHS) compliance across all facility operations. Conduct risk assessments and promote a culture of safety and operational discipline. Perform Failure Mode and Effects Analysis (FMEA) to eliminate single points of failure and improve system resilience. Lead post-incident reviews and implement corrective and preventive actions for system abnormalities. Engineering & Maintenance Lead the commissioning, operation, maintenance, troubleshooting, and optimization