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Senior Engineer Deg Layout Jobs

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Explore current senior engineer deg layout jobs. Use filters to narrow by work mode, employment type, experience and date posted.

G
4mo ago

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Debug Validation Lead will drive post-silicon debug and validation activities for next-generation AI compute silicon and systems. The role is responsible for leading teams focused on identifying, reproducing, analysing and resolving complex silicon, firmware and system-level issues during bring-up, characterization and product readiness. This position combines deep technical debugging expertise with strong cross-functional collaboration across multiple engineering disciplines. The role will work closely with architecture, RTL, firmware, software and systems teams to improve debug methodologies, accelerate issue resolution and strengthen validation coverage. The role will work closely with architecture, RTL, firmware, software, systems and platform teams to improve debug methodologies, accelerate issue resolution and strengthen validation coverage. The Team The Post-Silicon Debug and Validation team sits within the Architecture and Validation organisation and is responsible for bring-up, debug and validation of Graphcore silicon and systems. The

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Anthropic
📍 Ca Seattle• Remote• $405K – $485K/yr
4mo ago

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 Anthropic's Inference organization serves Claude to millions of users and enterprise customers with the speed, reliability, and efficiency that frontier AI demands. We build across GPUs, TPUs, and Trainium, and the complexity of our development environment grows with every platform we add. We're looking for a Staff engineer to be the technical lead for Inference Developer Productivity: the team that makes every engineer in the org dramatically more effective at building, testing, and shipping inference software. This is a senior IC role with broad technical ownership. You'll set technical direction for the team's toolchains, workflows, and feedback loops, and you'll be the one making the hard calls on architecture, prioritization, and tradeoffs across heterogeneous accelerator platforms. You'll pair with the team's Engineering Manager, who owns hiring and people development, while you own the technical roadmap and drive the work. You'll also partner closely with Anthropic's central Infrastructure org, where company-wide developer productivity lives, to make sure Inference's multi-accelerator reality is well served without duplicating effort. This role is for someone who has been the technical anchor on a platform or infrastructure team before, who thinks in systems and feedback loops, and who gets real satisfaction from the moment another engineer stops fighting their environment and starts shipping. Key responsibilities Set technical direction for Inference Developer Productivity, owning the architecture and roadmap for toolchains, dev environments, and CI/CD across GPU (CUDA), TPU, and Trainium platforms Be the techni

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G
4mo ago

Power and Performance Validation Engineer About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role requires strong technical expertise and collaboration across multiple engineering disciplines to deliver robust validation methodologies, scalable automation frameworks and actionable performance insights. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debug compl

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Staff Power and Performance Validation Engineer About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role requires strong technical expertise and collaboration across multiple engineering disciplines to deliver robust validation methodologies, scalable automation frameworks and actionable performance insights. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debug

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About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role combines deep technical expertise with people leadership responsibilities, including team development, prioritisation, mentoring and delivery coordination across multiple projects and stakeholders. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debug complex issues, optimize workloads and continuously imp

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Sentry
📍 Toronto• Full-time• Remote• C$100K – C$125K/yr
4mo ago

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link. We are architecting the Technical Support engine . We’re looking for a veteran engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles. Sentry Support Engineers aren't just clearing queues; they are Orchestrators . You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required. In this role you will Master the Sentry Ecosystem & Support Elite Developers Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments. Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, solving high-stakes architectural challenges that push the boundaries of observability. Troubleshoot SDK Implementations: Go deep into the source code of Sentry’s SDKs to help developers instrument complex frameworks and custom environments. Engin

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HC
HackerRank Careers
📍 Hybrid In Bangalore• Hybrid
4mo ago

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role HackerRank's data platform is at an inflection point. We've completed a multi-year modernisation - migrating from Redshift to StarRocks + Apache Hudi - and cut export latencies from 25 seconds to under 5 seconds. The infrastructure groundwork is done. Now we're building the AI-native data layer that will power revenue-generating features like natural language querying for HackerRank for Work customers. As Lead Data Engineer, you'll be a senior individual contributor at the heart of the data organisation - owning complex platform decisions, collaborating cross-functionally with AI, product, and go-to-market teams, and shipping data-driven features that directly drive revenue. This is a greenfield opportunity to shape the next phase of data at HackerRank. What you will do Own and evolve the data platform - StarRocks (OLAP), Apache Hudi (Data Lake), Trino, Spark, and Apache Ranger - ensuring performance, reliability, and security at scale. Build the next-gen AI-optimised data layer: clean, structured datasets that power natural language querying and AI add-on features for HackerRank for Work customers. Own in-product data features - exports, insights dashboards, interview analytics, and the self-s

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Databricks
📍 Mountain View• $166K – $225K/yr
4mo ago

RDQ427R351 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Search plays a foundational role in this mission. Whether through keyword-based retrieval, semantic similarity via vector embeddings, or hybrid approaches that combine both, our Search technologies help customers find, discover, and understand information across massive, complex datasets. These capabilities power everything from Retrieval Augmented Generation (RAG), AI assistants, and recommendation systems to enterprise knowledge management, in-product search, and data exploration. As a Staff Engineer for Search, you’ll play a critical role in building and scaling our next-generation Search product — spanning Vector Search, Keyword Search, and Search Quality. You’ll drive the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. Beyond hands-on contributions, you’ll help define the long-term vision, mentor senior engineers, collaborate across teams, and lead strategic efforts that expand the technical and business impact of Search at Databricks. Check out our recent blog post: Decoupled by Design: Billion-Scale AI Search The impact you will have: Drive the architecture and evolution of the Search product, delivering scalable, low-latency, and high-quality retrieval across massive multimodal datasets. Identify and solve challenges in indexing, storage, query execution, and ranking — blending innovations in vector search, keyword search, and hybrid retrieval techniques. Partner with infrastructure, product, and research teams to shape APIs and developer experiences that

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. About the Role We are looking for an experienced Mobile Product Support Engineer to join our Global Technical Support organization. This role is ideal for a technical leader who thrives on solving highly complex mobile-related issues, with a strong focus on customer impact, operational workflows, and regulatory considerations. As a Product Support Engineer, Mobile Experience, you will serve as a senior technical escalation owner responsible for leading complex investigations end-to-end across Samsara’s mobile ecosystem. You will work cross-functionally with Engineering and Product teams to drive issue resolution, improve product quality, and influence roadmap decisions that enhance the reliability, compliance, and supportability of Samsara’s mobile applications. PSE III is a senior individual contributor role requiring strong technical depth, ownership, and leadership. You will be expected to set a high bar for technical investigations, mentor and

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Perplexity
📍 San Francisco• Full-time• $220K – $405K/yr
4mo ago

About the Role The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake. The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem. Key Responsibilities Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation. Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation. Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows. Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences. Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction. Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams. Drive architectural decision

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MongoDB
📍 Gurugram• Full-time
4mo ago

The CRM Technologies team is responsible for building, scaling, and operating Salesforce-based solutions that power MongoDB’s customer lifecycle from lead management and sales execution to renewals, reporting, and downstream operational workflows. The team partners closely with Sales Operations, Marketing, Revenue Operations, Finance, Customer Success, and Engineering to deliver secure, scalable, and reliable Salesforce solutions. With strong expertise in Salesforce development, automation, integrations, and platform operations, the team continuously evolves the CRM ecosystem to meet changing business needs. Role Overview We are looking for a Salesforce Engineer III to design, build, and support core Salesforce capabilities that enable MongoDB’s global go-to-market and operational teams. This is a senior individual contributor role with clear ownership from requirements through production delivery. You will translate business requirements into high-quality technical solutions using a combination of declarative configuration and custom development. This role is hands-on and delivery-focused, requiring strong technical judgment, attention to platform best practices, and the ability to work effectively across multiple business domains. As an Engineer III, you will also influence engineering standards, improve system performance and reliability, and contribute to shared frameworks and best practices within the Business Systems engineering organization. What You’ll Do Design, build, and support Salesforce solutions across sales, marketing, revenue, customer, and operational workflows Implement and enhance Salesforce functionality using standard configuration, Flows, Apex, Lightning Web Components, and platform automation Partner with business stakeholders to understand requirements, identify gaps, and deliver scalable, maintainable solutions Develop and maintain integrations between Salesforce and external systems such as Marketo, ERP, billing, marketing, support, or ana

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*Due to the nature of the projects and specific client security clearance requirements, this role requires the successful candidate to be Thai Citizen Only As a Principal Solution Architect, you turn complex client problems into well-reasoned, scalable and buildable technology designs for enterprises across the dynamic Thai market. This is a senior, hands-on engineering role at the intersection of system design, pre-sales and delivery. You work with business development, solution architects and delivery leaders to take opportunities from a whiteboard sketch to a credible solution: a clear architecture, explicit trade-offs, realistic estimates and a practical path to production. You engage directly with client technology leaders across Thai enterprises, from large conglomerates and financial institutions to retail powerhouses, and you earn credibility by going deep on how systems really work: at scale, under failure and within real-world constraints. You should be comfortable moving between discovery workshops, design reviews, proof-of-concept builds and early delivery support. You design across the full stack of modern systems, including APIs, data stores, caching, messaging, cloud infrastructure, security and observability. You also bring AI into the picture in a practical way, designing ML and LLM-powered solutions that are reliable, cost-aware and responsible. Job responsibilities Translate business goals and non-functional requirements (scale, latency, availability, security and cost) into clear solution designs, using back-of-the-envelope estimation to size systems early. Design end-to-end architectures covering API design, service decomposition, data modelling and storage, caching, messaging and event-driven integration. Make architecture trade-offs explicit, such as consistency vs. availability, SQL vs. NoSQL, sync vs. async and build vs. buy, and document them through design reviews and architecture decision records. Design for resilience and scale, includin

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CW
Canopy Works
📍 New York City Tri State Area• $200K – $230K/yr
5mo ago

Job Title: Staff Software Engineer Company: Canopy, Inc. Location: New York City Tri-State Area About Canopy At Canopy , we build technology that helps make healthcare environments safer for the people delivering care. Our connected safety platform powers real-time communication, response coordination, and location intelligence across hospitals and complex care environments. We operate in high-trust, high-reliability environments where software quality, operational resilience, and customer experience matter deeply. Our engineering organization is scaling alongside our growth, and we are looking for a Staff Software Engineer who can help shape both our technical direction and the way we build. This is not simply a feature delivery role. This is a systems-thinking role for an experienced engineer who can drive architecture, influence engineering standards, and help scale a platform, organization, and culture simultaneously. The Role As a Staff Software Engineer, you will serve as a senior technical leader across multiple product and platform initiatives. You will partner closely with Product, Design, Infrastructure, and Engineering leadership to design and evolve systems that are reliable, scalable, and maintainable as Canopy grows. You will operate horizontally across teams — helping define architecture, improve engineering velocity, raise quality standards, and mentor engineers through influence rather than direct management. The ideal candidate combines deep technical judgment with pragmatism, strong execution instincts, and the ability to simplify complexity in fast-moving environments. What You’ll Own Technical Leadership & Architecture Lead the design and evolution of scalable full-stack systems across frontend applications, backend services, APIs, and platform infrastructure Drive architectural decisions that improve reliability, maintainability, performance, and developer velocity Identify and address technical debt, scalability bottlenecks, and oper

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LaunchDarkly
📍 United States• Remote• $171.2K – $235.4K/yr
5mo ago

About the Job: LaunchDarkly is seeking a skilled Full-Stack Engineer to join our Experimentation team! You’ll collaborate closely with a cross-functional team of backend, frontend, and full-stack engineers, along with product managers, data scientists, and designers, to help build an experimentation platform that balances power and accessibility. In this role, you’ll contribute to the design, development, and maintenance of scalable, performant services using Go and RESTful APIs, and user experiences built with React and TypeScript. You’ll have opportunities to take ownership of projects, grow your technical expertise, and help improve the quality and reliability of our systems. We’re focused on building a best-in-class experimentation platform that enables customers to run impactful, data-driven experiments with ease and confidence, and we’re actively growing the team to deliver on this vision. We are committed to delivering a leading experimentation platform that empowers our customers to run tests and data-driven experiments seamlessly and at scale. We have a robust product roadmap, and we are actively expanding our teams to execute on it. Responsibilities: Contribute to the design, development, and maintenance of scalable and performant solutions for experimentation and data-driven products, with attention to usability and maintainability. Collaborate with senior engineers on architectural decisions that impact system scalability and performance. Lead limited scope features from definition to deployment Help identify and troubleshoot performance issues and participate in efforts to optimize service reliability. Work closely with product managers, engineers, data scientists, and designers to implement new features and iterate on existing functionality. Participate in code reviews to support code quality and share constructive feedback with teammates. Write clean, maintainable, and well-tested code that enhances the reusability and readability of team systems. Con

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Webflow
📍 Argentina Remote• Remote
5mo ago

Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re hiring a Staff Software Engineer, Developer Productivity to define and drive the future of how Webflow engineers build, test, and deliver software. In this role, you’ll operate as a technical leader owning the end to end deployment strategy and shaping the systems that enable engineering velocity at scale. This is a high impact role focused on reducing cycle time, increasing reliability and enabling world-class developer experience across Webflow. About the role: Location: Remote-first (Argentina) Permanent, full-time employee (this is not a contractor position) Application Information: Application deadline: applications accepted on an ongoing basis until position is closed and filled This posting is for a new position Reporting to the Senior Engineering Manager, Developer Productivity As a Staff DevOps Engineer, Delivery Loop you’ll: Define and drive Webflow’s end-to-end deployment strategy, from CI pipelines to production rollout. Own and evolve our GitOps-based deployment platform (e.g., ArgoCD, Argo Rollouts), ensuring scalability, reliability, and ease of use. Design and implement safe, progressive delivery mechanisms (canary, blue/green, feature flags, automated rollback). Set technical direction across teams, guiding architecture decisions that improve developer velocity and system reliability. Establish and evangelize best practices for CI/CD, release engineering, and environment management across the organization. Identify and eliminate bottlenecks to drive step-function improvements in developer productivity and cycle time. Build and evolve internal tooling to improve testing, and deployment workflows. Ensure high reliabilit

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