Senior Or Staff Photolithography Materials Engineer Jobs

Perforce is a community of collaborative experts, problem solvers, and possibility seekers who believe work should be both challenging and fun. We are proud to inspire creativity, foster belonging, support collaboration, and encourage wellness. At Perforce, you’ll work with and learn from some of the best and brightest in business. Before you know it, you’ll be in the middle of a rewarding career at a company headed in one direction: upward. With a global footprint spanning more than 80 countries and including over 75% of the Fortune 100, Perforce Software, Inc. is trusted by the world’s leading brands to deliver solutions for the toughest challenges. The best run DevOps teams in the world choose Perforce. Position Summary: Perforce is seeking a Senior Manager, Software Engineering to lead the engineering team for Gliffy, our visual collaboration and diagramming product, based in Pune, India. This role owns day-to-day engineering execution, delivery quality, and team development for Gliffy, while also engaging with the Akana and OpenLogic engineering teams to build cross-product collaboration and partnering closely with the VP of Engineering on strategic planning and roadmap decisions. We are looking for a seasoned leader who can operate with significant scope and autonomy, bring strong organizational and cross-functional leadership skills, and contribute to strategic thinking across Perforce’s growing portfolio of products — not just execute within a single team. The ideal candidate has proven experience leading distributed engineering teams in a high-growth SaaS or enterprise software environment, a strong grasp of modern SDLC practices, and a track record of embedding AI into development workflows. They are comfortable operating with significant autonomy, influencing senior leaders and cross-functional stakeholders, and balancing hands-on technical depth with a broader strategic perspective. Responsibilities: Own the day-to-day planning, execu

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. . Hesitant to apply? We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn’t the right role or time - sign up for job alerts ! Where we work PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in: Location restrictions: Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming Candidates must reside in an eligible location, which vary by role. How we work Our values guide how we support customers, collaborate

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Singapore for our hybrid working model with business fluency in English and Thai. As an ideal candidate, you will have: Ideally 8 - 11 years of related experience in a customer facing role, minimum 3 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience designing with scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strat

Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed safely, reliably, and at scale. In this role, you will create the end-to-end capabilities required to move models from experimentation into production, expose them through secure and highly available endpoints, and enable users and applications to interact with AI-powered services. You will work across AWS and Databricks to establish robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and operational standards. You will partner closely with data scientists, machine learning engineers, software engineers, security teams, and platform engineers. The ideal candidate combines strong cloud and DevOps engineering skills with a practical understanding of machine learning systems, LLM deployment patterns, and production reliability. Key Responsibilities MLOps Platform and Architecture Design and implement a scalable MLOps platform using AWS and Databricks. Define reference architectures and reusable deployment patterns for traditional machine learning models, deep learning models, and large language models. Build standardized workflows that move models from development and validation into staging and production. Develop self-service capabilities that allow data scientists and ML engineers to deploy models without manually managing infrastructure. Establish clear separation between development, testing, staging, and production environments. Design multi-region or multi-availability-zone architectures where required by business continuity and availability objectives. CI/CD and

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. 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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! As a Formal Verification Engineer at NVIDIA, you will be responsible for formally verifying complex designs. NVIDIA has developed a strong functional formal verification methodology that not only enables hardware design and verification engineers to use lightweight FV tools and techniques successfully but also allows FV engineers to use advanced property proving techniques on complex and/or critical RTL logic. The job involves very close interaction with the design team, architecture team, with other validation teams, and with NVIDIA's internal FV R&D group that develops functional verification tools using formal verification technology. What you'll be doing: You will help decide on the best applications of formal verification techniques to various parts of the design. Review functional and micro-architectural specifications, define the scope for formal verification, and create high-quality formal verification testplans to sign-off on the corresponding design implementation. Build formal verification testbenches, code assertions and constraints, and apply abstra

NVIDIA's Deep Learning GPUs have 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 are growing our company and the team with the smartest people in the world. We are looking for extraordinary Software Engineers to develop and productize NVIDIA's DRIVE OS software. As a member of NVIDIA's Solution Engineering team, you will adapt DRIVE OS solutions to various car platforms equipped with different sensors. We are looking to hire Senior System Software Engineer – AUTOSAR. Ideal candidate will have very strong programming skills, a good grasp of HW & SW Architectures, a solid exposure to AUTOSAR & related architecture, tools and frameworks. What you will be doing: Participate and provide inputs and recommendation into AUTOSAR Architecture evolution with design choices, tools and methodology Architectural explorations on both SW and HW fronts which include feasibility studies, quick prototyping, profiling, safety studies, data analysis and presentation of results Influence next-gen HW architectures and SW Architecture and design Drive complex technical issues to closure that may occur interacting with cross-teams What we need to see: BS/MS, or equivalent experience 5+ years of experience Strong programming skills in C/C++ and scripting skills in Perl, Python etc Good experience and com

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. Senior Backend Engineer - Database Change Management An overview of this role As a Senior Backend Engineer, Database Upgrades, you'll help replace GitLab's sequential database migration system with a dependency graph model that makes upgrades faster and safer for GitLab.com and self-managed customers. You'll lead the design and delivery of a migration validation and test framework, including versioned fixture data across about 1,000 tables, a continuous integration (CI)-integrated test runner, and required correctness checks. You'll also serve as the senior technical anchor for our India-based engineering group, using clear writt

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 Software Engineer, you'll work across two important areas for GitLab Security: the data layer behind our vulnerability and dependency management capabilities, and our move toward services outside the GitLab monolith. You'll design and develop systems that ingest, store, index, and query security report data, including integrations with key third-party systems. With a strong focus on PostgreSQL and scalable backend design, your work will support security features that teams across GitLab deliver. You'll own significant parts of larger deliverables from design through delivery. You'll shape the

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. Senior Solutions Architect An overview of this role As a Senior Solutions Architect in GitLab's Southern EMEA team, you'll be a trusted advisor to GitLab prospects and customers in the Turkey region, helping them understand how GitLab's AI-powered DevSecOps platform addresses both technical requirements and business objectives across the entire software development lifecycle. You'll guide organizations through their digital transformation journeys, from planning through monitoring, using your technical expertise, understanding of cloud and modern software development practices, and strong customer empathy. Reporting to a regional

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacarts Detection Engineering team sits at the core of our Security organization, building and operating the systems that identify, surface, and respond to threats across one of North America's largest grocery technology platforms. We own the full detection lifecycle, from telemetry collection and signal design to automated response, across a complex, cloud-native environment spanning endpoint, cloud, container, and SaaS. As a Senior Detection Engineer II, you'll be a technical anchor on the team: developing high-fidelity detection logic, hunting for novel attacker techniques, and raising the bar for how we think about coverage, quality, and scale. You'll work closely with Engineering, Red Team, Incident Response, Fraud, and Trust & Safety to ensure our detections reflect real-world adversary behavior; not just signatures. We operate with a detectio

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacarts Detection Engineering team sits at the core of our Security organization, building and operating the systems that identify, surface, and respond to threats across one of North America's largest grocery technology platforms. We own the full detection lifecycle, from telemetry collection and signal design to automated response, across a complex, cloud-native environment spanning endpoint, cloud, container, and SaaS. As a Senior Detection Engineer II, you'll be a technical anchor on the team: developing high-fidelity detection logic, hunting for novel attacker techniques, and raising the bar for how we think about coverage, quality, and scale. You'll work closely with Engineering, Red Team, Incident Response, Fraud, and Trust & Safety to ensure our detections reflect real-world adversary behavior; not just signatures. We operate with a detectio

We are now looking for a Senior SRAM Engineer within our Full Custom Memory (FCM) team! The FCM team designs specialized RAM implementations across NVIDIAs wide array of processing chips. Be it high speed, low power, multiport, we engage closely with processor architecture teams to build custom solutions across the entire NVIDIA silicon portfolio. Are you interested in designing circuits for the next generation of AI chips? Join a team of dedicated engineers developing the custom SRAM circuits that help power these chips. What you'll be doing: Design best-in-class SRAM circuits using state-of-the-art technology processes Optimize circuits for performance, area, and power Collaborate with mask designers to craft high quality and dense pitch-matched layout Verify functionality, electrical integrity, and robustness Improve/develop flows and methodologies to streamline design automation, data collection, and analysis to ensure working silicon What we need to see: BS/MS/PhD (or equivalent experience) in Electrical or Computer Engineering Minimum 12 years of circuit design experience Strong understanding of SRAM and memory design techniques and macro/block development Ways to stand out from the crowd: Self-motivation, attention to detail, clear data analysis and presentation skills Familiarity with industry tools such as Cadence Virtuoso for schematic and layout, SPICE simulators, waveform viewers Background with developing and using various flows and methodologies, in

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build cloud-native data and storage services for hybrid and multi-cloud infrastructure, including dataset discovery, ingestion, governance, checkpointing, observability, and low-latency access. Develop scalable cloud-native services and APIs that support exabyte-scale, high-performance GPU training and inference workflows. Work closely with product managers, internal AI teams, platform teams, and partner engineering teams to understand requirements and turn them into reliable production systems. Collaborate with SRE, operations, and support teams to improve service reliability, performance, observability, on-call readiness, and operational scale. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, and verification. What we need to see: BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience, with 5+ years of software engineering experience. Strong foundation in algorithms, data structures, distributed systems, and practi

We are developing advanced multi-rack, multi-tenant AI/ML datacenters with NVIDIA GB200, and upcoming GB300 GPUs. NVIDIA seeks a Senior Software Engineer for our CSP (Cloud Service Provider) Engagements team to focus on the cloud-native stack for datacenter products like GB200. In this role, You will define customer workflows, prototype stack enhancements, and debug the toughest Kubernetes + Slurm issues in multi-rack, multi-tenant AI datacenters. You'll tackle complex scheduling challenges across racks, tenants, and clouds as part of the CSP engagements team. What you’ll be doing: Perform deep-dive debugging of multi-rack, multi-tenant clusters: scheduler behavior, container runtime issues, device-plugin crashes, RDMA/IB fabric anomalies, etc. Gather customer requirements and prototype feature extensions for Kubernetes operators, Slurm plugins, and custom micro-services that expose new GPU capabilities. Drive joint architecture reviews and “whiteboard” sessions with CSP and internal platform teams; convert findings into RFCs and upstream pull requests. Create reproducible testbeds (Helm/Ansible/Terraform) that mirror customer environments; automate validation and benchmark suites. Deliver technical collateral-design docs, how-to guides, demo scripts-and present at customer on-sites, KubeCon, and SlurmUG. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Strong source-level expertise in Kubernetes internals (scheduler, CRI/CNI/CSI, operators) and Slurm (federation, power-save, plugins). Hands-on experience integrating next-gen GPUs (Blackwell/GB200/GB300) or comparable accelerators into containerized clusters. Proven track record debugging large-scale, cloud-native stacks across ne

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will be working with the team that created communication libraries like NCCL, NVSHMEM & technology like GPUDirect -- for scaling Deep Learning and HPC applications. Your customers will have diverse multi-GPU demands, ranging from training on scales up to 100K GPUs to inference down at microsecond latency. Communication performance between the GPUs has a direct impact on AI applications. Your work in AI toolkits will make all of those easier for the community. This is an outstanding opportunity for someone with an AI background to advance the state of the art in this space. Are you ready to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Integrate new communication libraries features in AI frameworks: from PoC to performance analysis to production Perform deep analysis of AI workloads and frameworks to identify multi-GPU communication requirements and opportunities. Collaborate hands-on with teams working on the latest AI models. Improve AI compilers to hide communications or perform automatic fusion. Conduct in-depth AI workload performance characterization on multi-GPU clusters. Design fault-tolerant and elastic solutions for large-scale or dynamic AI workloads. Author