Laser Design Engineer Jobs

We are seeking a highly skilled and visionary Staff Signal and Power Integrity (SI/PI) Engineer to join our advanced hardware engineering team. In this role, you will be the definitive technical expert responsible for ensuring the signal quality, timing, and power delivery robustness of our most complex, next-generation robotaxi electronic systems. As a technical pillar within the organization, you will define overarching SI/PI architectures, establish company-wide simulation methodologies, guide electrical design and layout teams, and own the end-to-end sign-off for cutting-edge high-speed interfaces. In This Role, You Will Lead the SI/PI architecture and define constraints for next-generation, high-complexity, high-density printed circuit boards (PCBs) and overall system design. Collaborate at an architectural level with hardware design, silicon vendors, PCB layout, and mechanical engineering teams to define layer stack-ups, routing strategies, component placement, and power delivery architectures. Analyze, optimize, and sign off on advanced high-speed serial links (PCIe, Ethernet, MIPI, GMSL) and memory interfaces (LPDDR). Provide expert-level design guidance and validation for automotive-specific communication and audio protocols (A2B). Architect and conduct comprehensive Power Delivery Network (PDN) analysis, including DC IR drop, AC impedance modeling, and transient response analysis to ensure stable power delivery across complex multi-board systems. Drive the development of advanced SI/PI routing rules, simulation methodologies, automation scripts, and sign-off processes for the hardware engineering department. Tackle the most complex, unprecedented signal and power integrity challenges, performing hands-on root-cause analysis, lab measurements, and correlating simulation models with real-world testing. Act as a technical mentor and subject matter expert, elevating the SI/PI capabiliti

About the Team The Artifacts team is building the AI-native creation layer for documents, spreadsheets, slide decks, dashboards, reports, analyses, and new forms of interactive work products. We are rethinking what creation looks like when models can move from an ambiguous user goal to a polished, editable artifact with strong structure, taste, correctness, and speed. This is a high-agency team working across product, infrastructure, and research. We partner closely with model training teams to shape how frontier models create artifacts, and with ChatGPT product teams to turn those capabilities into experiences that millions of people can use. The work spans full-stack product engineering, model integration, rendering and editing systems, collaboration, storage, evaluation loops, and production reliability. Our ambition is to build the premier product experience for AI-generated artifacts: starting with familiar work products like slides, sheets, and docs, then expanding into new artifact types that are only possible in an AI-native world. About the Role As Engineering Manager, Artifacts, you will lead and grow the engineering team responsible for building this product and technical foundation. You will manage a team of full-stack and infrastructure-oriented engineers, set technical direction, and stay hands-on enough to shape architecture and debug hard problems. This role sits at the intersection of product engineering, research, and infrastructure. You will partner with researchers on how models are trained and evaluated for artifact creation, with product and design on the user experience. This is a strong fit for a technical manager who wants to build and ship, not only coordinate. The team has a fast trajectory, so you will help define both the product surface and the team that builds it. In this role, you will: Lead, manage, and grow a team building AI-native artifact creation experiences across documents, spreadsheets, slide decks, and emerging artifact form

AI frameworks like LangChain, LlamaIndex, and n8n are quickly becoming the default way developers build with AI — and MongoDB wants to be the data platform that shows up everywhere they build. As part of the AI Builders Experience (ABX) org, we're standing up a brand new engineering team in Gurugram to make that happen, and we're looking for Senior Software Engineers to be among its founding members. The team owns the connective layer between MongoDB and third-party AI frameworks, platforms, and tools — the integrations that let developers use MongoDB effectively with the AI stack they've already chosen. That means shipping into some of the fastest-moving open-source ecosystems in tech, working mostly in Python and TypeScript, and partnering with the Database Experience (DBX) org when an integration needs new driver, platform, or product capability underneath it. This is a self-sufficient team by design. You and your engineering manager will be based in Gurugram, and the group is set up to own its area end to end: to decide how integrations get built, tested, released, and maintained, without waiting on another time zone to unblock the day-to-day. You'll work closest with the engineers sitting next to you, pairing on hard problems, reviewing each other's code, and dividing up a broad portfolio, while collaborating with product, partners, field teams, and open source maintainers as the work requires. You'll integrate with fast-moving, often unproven technologies, make pragmatic calls in the face of ambiguity, and own high-visibility projects with minimal guidance. Priorities can shift week to week based on framework changes, customer demand, and partner needs, so we're looking for product-minded engineers who thrive on autonomy and take pride in shipping. Much of your work will happen in public: sending pull requests to upstream repositories, working through external maintainer review cycles, and representing MongoDB in developer communities. MongoDB engineering team

Role Description As a Software Engineer on the Metadata team, you’ll build and operate the large-scale distributed databases that every Dropbox service depends on. Metadata systems are mission-critical, in the live path for all user operations and must meet stringent requirements for latency, durability, and transactional consistency. You’ll design and evolve the core infrastructure that manages Dropbox’s databases at scale, enabling fast, reliable access to data for millions of users and hundreds of internal services. This work spans distributed systems, replication, caching, and transactional database systems. You’ll collaborate closely with engineers across Infrastructure and Product teams to ensure the metadata layer meets business needs and continues to scale with Dropbox’s growth. This is an opportunity to leverage your expertise in distributed systems and grow into broader technical leadership. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Design and maintain distributed database systems providing low-latency, strongly consistent data access Implement and optimize replication, consensus, and caching mechanisms to meet availability and performance goals Operate production systems, including participating in the on-call rotation, ensuring high availability and data durability Collaborate with infrastructure and product teams to assess current and future use cases and requirements, supporting the development of a mid- to long-term roadmap that reflects these needs Contribute to system design reviews, postmortems, and reliability improvements Write high-quality, efficient code in Go and Rust for performance-critical systems On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experienc

Role Description As a Software Engineer on the Metadata team, you’ll build and operate the large-scale distributed databases that every Dropbox service depends on. Metadata systems are mission-critical, in the live path for all user operations and must meet stringent requirements for latency, durability, and transactional consistency. You’ll design and evolve the core infrastructure that manages Dropbox’s databases at scale, enabling fast, reliable access to data for millions of users and hundreds of internal services. This work spans distributed systems, replication, caching, and transactional database systems. You’ll collaborate closely with engineers across Infrastructure and Product teams to ensure the metadata layer meets business needs and continues to scale with Dropbox’s growth. This is an opportunity to leverage your expertise in distributed systems and grow into broader technical leadership. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Design and maintain distributed database systems providing low-latency, strongly consistent data access Implement and optimize replication, consensus, and caching mechanisms to meet availability and performance goals Operate production systems, including participating in the on-call rotation, ensuring high availability and data durability Collaborate with infrastructure and product teams to assess current and future use cases and requirements, supporting the development of a mid- to long-term roadmap that reflects these needs Contribute to system design reviews, postmortems, and reliability improvements Write high-quality, efficient code in Go and Rust for performance-critical systems On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable

About the Role Together.ai is looking for a Senior Software Engineer to join the Customer Insights team. Customer Insights owns the customer-facing visibility layer of Together's Cloud — the systems that help customers understand what's happening in their environment, trace back what happened and why, and act on it with confidence. Every time a customer needs to understand their own activity — what happened, who did it, when, and whether it needs attention — they rely on the systems we build. Whether it's a developer inspecting recent activity, an enterprise team auditing their organization, or an operator diagnosing an anomaly, we make that visibility clear and trustworthy: simple for everyday cases, robust enough for complex organizational needs. We're turning today's fragmented visibility patterns into coherent product and platform foundations, and building toward a next generation of insight tooling that summarizes activity, explains anomalies, and correlates signals across surfaces — for both human operators and autonomous agents. You'll take ambiguous problems and turn them into a clear technical direction. You'll set the technical approach for significant pieces of the system, weigh in on architecture beyond your immediate area, and help less experienced engineers navigate unfamiliar problem spaces. You'll have real autonomy over how problems get solved, paired with a team that reviews, debates, and learns in the open. Responsibilities Design and ship core features of Together's Customer Insights platform — the systems customers rely on to see, trace, and act on their own activity. Drive the technical design for new capabilities, including proposing architecture, writing design docs, and getting buy-in across teams. Partner with Data Platform and Observability engineering teams to leverage Together’s core data stack and capabilities to build out Customers Insights data collection and stream processing systems. Own significant areas of the system end-to-end —

Staff Software Engineer, AI-Native Web Platform GAQ327R228 About Us: The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI-native from the start, and pioneering an agentic SDLC as our operating model. The Role: As Staff Software Engineer on the Web Platform team, reporting to the Director of Engineering, you will own the platform layer that the rest of the team builds on: web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents. This is a rare opportunity to design a web platform for an AI-native world from the ground up. The north star architecture is being defined now and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice. The impact you’ll have : Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start. Influence technical leaders across the organization on shared architectural decisions and contribute to the broader north star for AI-native engineering at Databricks. Pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring. Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade. Mentor and grow engineers on the team, setting the standard for what AI-native thinking and execution looks like in practice. What we look for: 12+ years of software engineering experience, with a strong track record of technical leadership and impact. 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. Proven track re

Senior Software Engineer - Analytics Compute Platform Team About the Role & Team Every chart, insight, and experiment result a customer sees in Amplitude passes through the compute layer that this team owns. Our team sits between Amplitude's front-end analytics products/ rest APIs/ MCPs and Nova, our proprietary analytics database, and owns the compute API that translates a user's question into a fast, correct answer. Our mandate: enable a highly performant, reliable, and flexible way to compute insights. Those three goals are often in tension the more flexible we make the system, the harder it is to keep it fast and simple, and a lot of the interesting engineering work on this team lives in that tradeoff. Day to day, you'll work closely with engineers on data management, marketing analytics, Session Replay, Experiment, CDP, Query, and various product teams, since they're all consumers of what we build. As a Senior Software Engineer, you will Design and build core parts of the query/compute engine that powers analysis across Amplitude's product suite Evolve the compute API and semantic layer that other engineering teams build features on top of, so that it can support a more generic table Help unify and evolve our core data model, including how non-event data (profile properties, lookup tables, etc.) is represented alongside event data Improve the performance, reliability, and scalability of query planning and execution on the Amplitude query engine Partner with teams across Session Replay, Experiment, CDP, Query, and frontend to understand their needs and shape the compute layer around them Take ownership of projects end-to-end, from design through rollout You'll be a great addition to the team if you have Strong backend or distributed-systems engineering experience, ideally touching OLAP databases, query engines, or data infrastructure Experience with SQL, query planning/execution, or building APIs that many other engineering teams depend on Comfort reasoning

The eBPF APM team is building a zero-instrumentation observability solution that automatically discovers services on every host, supports both plaintext and TLS-encrypted traffic, classifies Layer 7 protocols, decodes service-level traffic, and reports RED (requests, errors, duration) metrics. Leveraging deep expertise in eBPF, the team operates across a wide range of Linux kernel versions, distributions, and complex customer environments. In addition to low-level networking, the team solves challenges related to protocol versioning, TLS detection across diverse languages and runtimes, and resilient performance in production systems We’re looking for a senior engineer with strong systems-level thinking and a good understanding of Linux. You should be comfortable working close to the kernel, ideally with experience in eBPF, or with a strong desire to dive into it. Proficiency in C/C++/ Go is essential, and familiarity with networking protocols, TLS internals, or distributed tracing is a strong advantage. You’ll join a high-impact team tackling ambitious technical challenges—like decoding traffic across multiple protocols, and ensuring high-fidelity metrics in complex, real-world environments. You’ll be expected to lead design and implementation efforts, contribute to roadmap planning, and collaborate across teams to ensure our solution remains robust, scalable, and frictionless for our users. This role is a great fit for engineers who thrive on low-level, performance-sensitive problems, and want to shape the future of observability through cutting-edge kernel technology. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design and build core components of our zero-instrumentation APM product using eBPF and Go Develop systems to aut

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 . The CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform that powers Coinbase chat, Help Center, and agent tooling, partnering closely with Conversation Design, CX, and engineering teams to deliver secure, compliant, and scalable AI-powered support. Our work helps customers get answers faster while enabling agents to resolve cases more effectively. We are hiring an IC4 Machine Learning Engineer to help evolve our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will contribute to the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is ideal for someone who enjoys solving complex ML systems problems, building reliable handoff logic across LLM frameworks, and shipping AI-enabled products that are measurable and scalable. What you'll do: Build and improve the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. Develop production-grade Python services that bridge advanced AI and ML capab

Staff Software Engineer, AI-Native Web Platform P-1579 About Us: The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI-native from the start, and pioneering an agentic SDLC as our operating model. The Role: As Staff Software Engineer on the Web Platform team, reporting to the Director of Engineering, you will own the platform layer that the rest of the team builds on: web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents. This is a rare opportunity to design a web platform for an AI-native world from the ground up. The north star architecture is being defined now and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice. The impact you’ll have : Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start. Influence technical leaders across the organization on shared architectural decisions and contribute to the broader north star for AI-native engineering at Databricks. Pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring. Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade. Mentor and grow engineers on the team, setting the standard for what AI-native thinking and execution looks like in practice. What we look for: 12+ years of software engineering experience, with a strong track record of technical leadership and impact. 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. Proven track record

The Business Applications team at Zoox is responsible for building the foundation that connects our autonomous vehicle technology with a seamless customer experience. Our team thrives on collaboration, open problem-solving, and supportive risk-taking. You will be part of a growing and mission-driven Enterprise Applications team driving the key aspect of customer enablement and pricing landscape for Zoox, while contributing to our broader dedication to making cities safer, smarter, and more sustainable. In this role, you will have the opportunity to expand your technical horizons across our billing and financial ecosystem while taking direct ownership of a high-volume, high-transaction mediation layer. We are looking for an individual who loves to learn, values data accuracy, and is excited to see their designs directly support autonomous fleet operations. In This Role, You Will: Lead the design and architecture of SAP Convergent Mediation (CM) frameworks to process usage, events, and transactional data. Configure and customize mediation pipelines, transformation rules, enrichment, and routing logic. Design end-to-end data flows between upstream source systems, Convergent Charging (CC), and downstream BRIM components. Optimize mediation performance to ensure accurate, low-latency transaction processing and fault tolerance. Establish monitoring dashboards, alerting mechanisms, and reconciliation frameworks to ensure financial compliance and data integrity. Collaborate closely with finance, product, engineering, and external vendors to provide technical leadership and subject matter expertise. Qualifications: Extensive experience delivering end-to-end SAP BRIM implementations with a specific focus on Convergent Mediation (CM). Hands-on proficiency configuring mediation flows, transformations, and integrations with SAP CC, CI, FICA, or external APIs. Deep understanding of

MeltPlan | Planning Engine for the Built Environment MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders. MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn health-tech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution. What This Role Really Is We are hiring a UI Engineering Lead with minimum 10 years of work exp , to drive frontend architecture scalable UI systems, and user experience across internal and external applications. The role involves building modern web applications using React, TypeScript, Next.js, Vite, and TailwindCSS, while leading reusable component development and microfrontend architecture using Module Federation. You will work closely with product and engineering teams, integrate Firebase services, and ensure frontend quality through Playwright and Vitest testing frameworks. The ideal candidate should have strong expertise in frontend engineering, scalable design systems, and modern UI architecture. What You’ll Do Build and maintain scalable frontend

At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets. We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record-like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support. Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid. Backed by Sequoia Capital , Multicoin Capital , and The Chainsmokers , Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build. Overview We are hiring for Staff Frontend Engineer (Payments & Checkout) to own and shape one of the most important surfaces at Breeze: the moment a customer actually pays. You’ll lead the frontend architecture and evolution of our checkout experience, building payment flows that need to be fast, seamless, resilient, and built to convert. Your work will have a direct impact on customer experience and revenue, from reducing friction and improving performance to designing elegant experiences around complex payment states. This is a high-ownership role where frontend engineering meets product and growth. You’ll work closely with Product, Design, Growth, and Payments to dig into funnel data, experiment quickly, and turn insights into experiences that make paying through Breeze feel effortless. At the Staff level, you’ll also help set the technical direction for frontend engineering, raise the bar for architecture and performance, and mentor engineers as we scale. If you love obsessing over the details of great checkout experiences and want to build the payment experience that pow

Role Overview You’ll be a senior hands-on Network Engineer at the center of highly available, global infrastructure. You’ll design, run, and improve enterprise and data center networks that thousands of users and critical applications rely on every day. You’ll work across routing, switching, firewalls, SD‑WAN, and load balancing, primarily using Cisco, Fortinet, and F5 technologies. You’ll be the person others turn to for complex troubleshooting, resilient network design, and modernization initiatives across enterprise and private cloud environments. If you enjoy solving tough networking problems, shaping network architecture, and partnering with security, cloud, and operations teams to keep things fast, secure, and reliable, this role gives you room to grow your technical depth and influence. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design, deploy, and support enterprise and private cloud network infrastructure across production and non‑production environments. Troubleshoot and resolve complex Layer 2/Layer 3 issues in mission‑critical, high‑availability networks. Configure and optimize Cisco Catalyst and Nexus platforms, including WAN, campus, and data center networking with BGP and OSPF. Support and maintain Fortinet FortiGate firewalls (including VPNs, SD‑WAN, and segmentation) to deliver secure, resilient connectivity. Administer and fine‑tune F5 BIG‑IP load balancing and application delivery services to keep customer and internal applications highly available. Lead incident/root cause analysis, contribute to modernization projects, and maintain clear technical documentation, standards, and network diagrams. These are the essentials you’ll need to get an interview 7+ years of hands-on experience as a Network Engineer in an enterprise or data center environment. Strong expertise with Cisco enterprise networking (Catalyst and/or Nexus), including Layer 2/3, VLANs, STP, HSRP/VRRP, QoS, ACLs, and NAT. Practical experience with