Laser Design Engineer Jobs

P-78 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems, from advancing AI research to powering next-generation applications. We do this by building and operating the world’s best data and AI infrastructure platform. Founded by engineers and driven by customer obsession, we embrace the hardest technical challenges, whether it’s scaling distributed systems across multiple clouds or delivering reliable, low-latency communication between thousands of services. And we’re only getting started. As a Senior Software Engineer on the Application Traffic team , you will design and build the systems that power Databricks’ service-to-service communication across thousands of clusters in a multi-cloud environment. You will also help create abstractions that hide networking complexity from product teams, making connectivity, discovery, and reliability seamless by default. The impact you’ll have: You’ll work across three key areas that define Databricks’ networking stack: Ingress Control Plane : Build the control plane for Databricks’ global ingress layer. Enable programming of API gateways with static and dynamic endpoints, simplify service onboarding, and make it easy to expose APIs securely across clouds. Service-to-Service Communication : Design scalable mechanisms for service discovery and load balancing across thousands of clusters. Provide networking abstractions so product teams don’t need to worry about underlying connectivity details. Overload Protection : Build intelligent rate limiting and admission control systems to protect critical services under high load. Ensure reliability and predictable performance for both customer-facing and internal workloads. What we look for: BS (or higher) in Computer Science or related field 5+ years of experience designing and building large-scale distributed systems Strong proficiency in one or more languages such as Java, Scala, Go, or C++ Experience with service-oriented architectures an

About the Team At OpenAI, we’re building safe and beneficial artificial general intelligence. We deploy our models through ChatGPT, our APIs, and other cutting-edge products. Behind the scenes, making these systems fast, reliable, and cost-efficient requires world-class infrastructure. The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI. We aim to provide a high-availability, multi-tenant cache platform that scales automatically with workload, minimizes tail latency, and supports a diverse range of use cases. We’re looking for an experienced engineer to help design and scale this critical infrastructure. The ideal candidate has deep experience in distributed caching systems (e.g., Redis, Memcached), networking fundamentals, and Kubernetes-based service orchestration. In This Role, You Will: Design, build, and operate OpenAI’s multi-tenant caching platform used across inference, identity, quota, and product experiences. Define the long-term vision and roadmap for caching as a core infra capability, balancing performance, durability, and cost. Collaborate with other infra teams (e.g., networking, observability, databases) and product teams to ensure our caching platform meets their needs. You Might Thrive In This Role If You: Have 5+ years of experience building and scaling distributed systems, with a strong focus on caching, load balancing, or storage systems. Have deep expertise with Redis, Memcached, or similar solutions, including clustering, durability configurations, client-side connection patterns, and performance tuning. Have production experience with Kubernetes, service meshes (e.g., Envoy), and autoscaling systems. Think rigorously about latency, reliability, throughput, and cost in designing platform capabilities. Thrive in a fast-paced environment and enjoy balancing pragmatic engineering with long-term technical excellence. About OpenAI OpenAI is an AI research and deployment company d

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is seeking a highly skilled and experienced AI Compiler Engineer to spearhead the efforts in developing and optimizing graph compilers tailored to cutting-edge AI and ML workloads. You will collaborate with hardware architects, and AI researchers to enhance performance, optimize computation graphs, and enable efficient model deployment on EnCharge’s Inference Accelerators. Responsibilities Architect, design, and implement optimizations for AI model execution on graph compilers to improve performance, reduce latency, and maximize hardware utilization. Work closely with ML researchers, hardware engineers, and software developers to design and deploy AI models, understanding and addressing hardware-specific challenges. Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations. Develop compiler optimizations and passes that convert high-level AI models (e.g., from TensorFlow, PyTorch) into intermediate representations (IR). Implement parsing, semantic analysis, and IR generation for deep learning frameworks. Research and integrate the latest advancements in compiler design, ML model optimizations, and hardware acceleration into graph compilers. Provide leadership, mentorship, and technical guidance to a team of engineers focused on graph compiler optimizations. Qual

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Database Operations is responsible for the deployment and maintenance of the database layer that Palantir’s products depend on. As an engineer on the Database Operations team, you will design how databases are deployed and operated across a wide variety of environments, build the automation and observability that keep them healthy, and respond to the critical production issues that affect some of the world's most impactful use cases. Core Responsibilities Build software that automates the routine work of deploying and running production databases Participate in regular on-call rotations Troubleshoot, diagnose, and remediate stability and reliability issues in production database systems Participate in post-incident reviews and take ownership of follow up actions Identify patterns across incidents, support tickets, and alerts, and translate those observations into proposals for systemic improvements to our fleet Manage and execute large scale migrations of the fleet of databases we run Partner with customer-facing teams during incidents and when setting up new database installations Work with database engineering teams and infrastructure teams to build resilient and highly available database systems Continuously invest in documentation, metrics, monitors and other troubleshooting tools Hold the bar on engineering and operational standards through code reviews, design reviews, and feedback on operating procedures Build deep expertise and experience in production systems (Kubernetes, cloud environments, Cassandra, Elasticsearch, etc.) and share that knowledge amongst

About the Role Together is hiring a Senior Product Engineer to join our central Product Engineering team and embed day-to-day with the Commerce engineering team. You will own the product UI surface for Together AI’s most revenue-critical user flows: enterprise spend controls and governance, usage-based pricing displays and metering dashboards, payment method management, and enterprise contract surfaces. This is a hands-on role for someone who enjoys operating at a high-quality, efficient pace: breaking ambiguous work into clear increments, shipping useful improvements quickly, and finding pragmatic ways to move customer and revenue impact forward. You will work alongside dedicated product, design, and backend engineers partners and use strong product judgment to make reasonable UX decisions within established patterns. Requirements 4+ years of frontend engineering experience building and shipping productions features to real users Strong React fundamentals in production, including complex, stateful UIs that users depend on Strong TypeScript proficiency, with the ability to design clean typed interfaces across components, API boundaries, and application state Strong observability habits: you instrument what you ship, monitor whether it works, and use data to guide follow-up improvements Ability to absorb complex product and business requirements and translate them into correctly sequenced frontend implementations Fluency consuming APIs: you can read schemas, understand data shapes, handle loading and error states, and build typed web app interfaces without being blocked by backend engineers Next.js, Tailwind, and shadcn/ui experience is a meaningful plus Experience with billing, payments, or usage-based pricing UIs is a strong differentiator, including Stripe SDKs, metering displays, subscription states, checkout flows, or enterprise invoicing Responsibilities Own Commerce’s frontend layer end-to-end: from consuming service APIs and building typed interfaces to

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is building the most powerful AI Data Cloud in the world — and Canada is a critical part of that mission. Our AI/ML engineering teams are delivering the intelligence layer that powers Cortex AI, large language model inference, AI functions, intelligent search, and the next generation of AI-powered experiences on the Snowflake platform. We're looking for a Software Engineer — AI to join our growing Toronto engineering team. You'll design, build, and ship AI-powered systems and services that are used by thousands of organizations worldwide. If you're passionate about building production AI infrastructure at scale and want to work alongside world-class engineers on problems that matter, this is the role. AS A SOFTWARE ENGINEER — AI, YOU WILL: Design, develop, and ship AI-powered features and services — working across model inference, AI functions, retrieval systems, and intelligent application experiences on the Snowflake platform Build production-quality infrastructure for AI workloads — including model serving, embedding pipelines, retrieval-augmented generation (RAG), and AI-driven automation Write clean, performant, and well-tested code in languages like Python, Java, C++, or Go — contributing to systems that operate at enterprise scale across Snowflake's multi-c

Senior Software Design Lead, IDEO San Francisco In a nutshell: IDEO San Francisco is in search of a Senior Software Design Lead who will architect the human and technical systems behind the digital products and AI experiences we design, build prototypes that behave like real production software, and be the technical voice client CTOs trust. You'll pick up design at IDEO along the way. Why is this role important for IDEO’s work? Software design makes the biggest impact by turning a product vision into something a client can actually build, and by testing ideas in working code rather than static screens. Their skillset is critical to our business because the work has evolved from designing interfaces to designing systems: how people, software, and AI agents behave together. We count on them to understand data models, APIs and agentic infrastructure from first principles, and speak credibly on technical choices with executives and engineering leaders. Once here you will: Work with product designers, product strategists and design researchers on 8–12+ week digital product engagements that may span from product vision and strategy to full end-to-end build. You will play a key role in turning human insights into technical architecture: data, APIs, integrations and the agentic layer. Build early prototypes with real data, real models and real integrations, so we learn quickly and lower the risk of big bets. Advise client executives and engineering teams on tech stack choices, build-vs-buy, evaluating APIs and LLMs, and feasibility. Design how agents and systems behave on a human's behalf, including guardrails, failure states and how the system stays legible to both people and machines. Raise the craft bar inside IDEO. Create reusable starter kits and toolkits so teams stop building from scratch, and coach designers who prototype in code. Help shape proposals and scope technical work in business development. What does IDEO offer you? IDEO is a place where you can solv

Senior Staff Software Engineer About Druva: Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . About Role: This role will be with Cloud Apps Org in Hyderabad, responsible for building key SaaS and Identity workloads. This team is responsible for providing architectural components for supporting core operations of multiple SaaSApps workloads. As a Senior Staff Software Engineer in the platform team, you will be responsible for the design and implementation of software modules owned by a team. Your primary focus will be on the development of all backend server-side components and ensuring high performance and responsiveness from the front end. You will guide and mentor junior team members by reviewing their code and designs to ensure that they are writing well designed and high-quality code. This role requires excellent communication skills as you will need to collaborate across teams. Key Skills 6 – 9 years of experience, preferably in a product company. Extensive hands-on experience in Go/Python/C/C++/Java or any other Object-Oriented Language Excellent programming skills along with Data structures, Algorithms, Design Concepts Strong experience in working with SoA (Service

Autonomous agents now do real work across NVIDIA, and every piece underneath them keeps changing: models, harnesses, tools, skills, and plugins. Evaluation is how a team knows whether a change made an agent better or quietly made it worse. We're looking for a principal engineer to set evaluation strategy at every layer, from individual skills and MCP servers to whole agents and products, and to design how agents use those results to improve themselves. Agents can already rewrite the skills and plugins they run on, then test whether the change helped. Making that loop trustworthy is the hard part. What does it take for an agent to get better on its own, and prove the improvement is real? We're building a system that answers that question for every agent at NVIDIA. Come build it with us! What you'll be doing: Build evaluation that works the same across harnesses, with automated checks on every change that catch regressions before users do. Mine production traces for failures, new usage patterns, missing skills and tools, cost and latency hot spots, and successful runs. Turn them into eval cases and improvement signals. Evaluate the eval datasets themselves: coverage of real usage, duplicate cases, and how closely they match production. Build the self-improvement loop for evolving harnesses: agents propose changes to their own skills, plugins, and harness configuration, and sandboxed evals test each one. Only measurable gains ship, with human sign-off and limits agents can't change. Create realistic enterprise environments: sandboxed replicas of issue trackers, code repositories, chat, and internal APIs, filled with synthetic or anonymized data, where agents safely run long, end-to-end tasks. Measure multi-agent swarms as a team: how agents split work, whether handoffs succeed, and whether permissions hold at every hop. Record how long each task takes and how many token

Role Overview This is a senior individual contributor role with significant architectural ownership. You will set the technical direction for how Backblaze detects, correlates, and responds to infrastructure incidents across our data centers, and you will mentor other engineers on the team as that platform matures. If you have a passion for making complex distributed systems visible, you are comfortable making architecture decisions that will outlive your tenure, and you are excited about applying AI and agentic automation to infrastructure operations, this role was built for you.. Key Responsibilities Technical Leadership Set technical direction and standards for observability across the organization, including instrumentation conventions, alerting philosophy, and dashboard design patterns. Mentor engineers on the Observability team and act as a technical resource for SRE, Storage Engineering, and Network Engineering on observability practice. Lead design reviews for observability work and represent the team in cross-functional architecture discussions. Evaluate build-versus-buy decisions for observability and AIOps tooling, including data sovereignty and compliance considerations. Produce and maintain design documentation, runbooks, and architectural decision records that make the platform operable and extensible by future contributors. Observability Platform Own and evolve our metrics pipeline, including VictoriaMetrics, Prometheus, and the Consul-based service discovery layer that keeps scrape targets current as infrastructure scales. Own and expand our logging stack (OpenSearch, Logstash, and Filebeat) across all Backblaze data centers. Architect and expand distributed tracing with Jaeger and OpenTelemetry, extending coverage beyond the current application instrumentation to new services. Define and maintain Grafana dashboard standards for infrastructure, storage, and application performance visibility. Drive expansion of internal application telemetry in partn

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : Billing powers Elastic's Cloud business. It runs across AWS, GCP, and Azure in over 50 regions. We oversee usage-based metering, consumption billing, and marketplace integrations at global scale. The Billing Experience team owns the customer-facing layer of our billing systems. We build and maintain the public and internal APIs, as well as the billing and account pages within Elastic Cloud consoles. Our goal is to make it easy for customers and internal teams to understand and manage their billing data. We are looking for a Principal Software Engineer to drive technical direction within the Billing Experience domain. This is a hands-on role. You will design APIs, shape user-facing systems, and work across teams. You will help our billing services grow in scale, reliability, and developer productivity. You will work closely with Product, Design, SRE, and Cloud Infrastructure teams. What You Will Be Doing : Own complex billing and account management systems, including public APIs, internal APIs, and Cloud console experiences. Lead API design and evolution — set standards for contract stability, versioning, and developer experience across internal and external consumers. Build and improve full-stack features in Elastic Cloud consoles, from backend services to frontend billing and account UIs. Improve observability, i

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Engineering team is responsible for building out the product for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. Shipping products that customers actually adopt, not just products that ship, takes a particular kind of engineering practice. It means starting inside the customer’s workflow rather than at the ticket. It means treating every release as a hypothesis you can prove or disprove. It means reaching for AI as a primary building block, not a feature you bolt on at the end. And it means owning a product end‑to‑end, from the first conversation through the telemetry six months later. As a Staff Engineer at Altana, that’s the work and you’ll lead others doing it. You’ll embed with product and design, get on calls with users, form hypotheses about where the real pain is, and lead a small team turning those hypotheses into shipped, adopted products. You’ll measure your work in customer outcomes, not commits. You Will Spend real time with customers. Sit alongside them in their workflows, watch where they get stuck, and translate what you learn into product bets your team is willing to ship behind. Partner with the product team to decide what to build, not just how . Form hypotheses about customer value, design the smallest experiment that could prove them out, and learn fast. Push back on briefs that aren’t grounded in evidence. Take new product surfaces from 0 to 1. Pitch, prototype, ship, and drive adoption with real users. You are as fluent in “did this land?” as you are in “is this maintainable?” Build AI‑native by default . LLMs, agents, evals, re

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Engineering team is responsible for building out the product for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. Shipping products that customers actually adopt, not just products that ship, takes a particular kind of engineering practice. It means starting inside the customer’s workflow rather than at the ticket. It means treating every release as a hypothesis you can prove or disprove. It means reaching for AI as a primary building block, not a feature you bolt on at the end. And it means owning a product end‑to‑end, from the first conversation through the telemetry six months later. As a Senior Engineer at Altana, that’s the work and you’ll lead others doing it. You’ll embed with product and design, get on calls with users, form hypotheses about where the real pain is, and lead a small team turning those hypotheses into shipped, adopted products. You’ll measure your work in customer outcomes, not commits. You Will Spend real time with customers. Sit alongside them in their workflows, watch where they get stuck, and translate what you learn into product bets your team is willing to ship behind. Partner with the product team to decide what to build, not just how . Form hypotheses about customer value, design the smallest experiment that could prove them out, and learn fast. Push back on briefs that aren’t grounded in evidence. Take new product surfaces from 0 to 1. Pitch, prototype, ship, and drive adoption with real users. You are as fluent in “did this land?” as you are in “is this maintainable?” Build AI‑native by default . LLMs, agents, evals, r

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 a hands-on Infrastructure Security Engineer to build and secure SpaceXSI's infrastructure from the bare-metal layer up through the platform and application stack. In this role, you will design, implement, and harden physical and private-cloud foundations—servers, networks, identity, and orchestration—and carry that security posture into containers, automation, and hybrid connectivity with public cloud. This role focuses on securing critical infrastructure spanning data centers, colo, and hybrid environments, with work that may span platforms such as SpaceXSI, X Social, X Money, and related systems. You’ll operate with an automation-first mindset: building secure foundations at the metal and OS layer, hardening platforms at scale, and partnering closely with engineering so security is embedded in how we build and run systems—not bolted on after the fact. RESPONSIBILITIES: Bare metal, data center & network security Design and implement secure bare-metal and private-cloud architectures (servers, storage, out-of-band management, BIOS/UEFI/BMC firmware posture) Harden physical and virtual fleets: OS baselines (Linux/Windows), CIS benchmarks, patch a

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Machine Learning Engineer, CX Intelligence CEE Intelligence (CEEI) is the ML and intelligence layer for Coinbase's customer engagement ecosystem, building customer intelligence, evaluation systems, routing and classification models, safety guardrails, and decisioning capabilities that power Help Center, chat, voice, agent tooling, and other customer support runtimes. As a Staff Machine Learning Engineer, you'll lead the design and delivery of production ML systems across the org, shaping technical strategy, building scalable intelligence capabilities, and partnering with product and engineering stakeholders to improve resolution quality, automation coverage, safety, and customer experience. What you'll do: Own the design and delivery of production ML systems, applying LLMs, deep learning, graph neural networks, and classical ML techniques to solve complex customer experience problems. Partner with leadership and cross-functional stakeholders to define strategic roadmaps and translate vision into quarterly execution plans with measurable outcomes. Lead high-impact ML projects end-to-end, from architecture through production, managing priorities, risks, and dependencies. Build scalable, secure, and reliable ML systems, evaluation pipelines, and data workflows using high-quality, well-tested Python code. Mentor engineers and establish team-wide standards fo