Staff Engineer 2c Code Generation in United States

The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Drive design and implementation of LLM observability features. Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit Develop and extend tools for tracing, evaluating, and debugging LLMs Influence architecture decisions and mentor engineers to build resilient, high-performance systems Stay close to customer pain points and use those insights to guide product and engineering priorities Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or r

We're looking for a Staff Engineer to join the Logs organization at Datadog and help redefine how our customers ingest, query, and derive insights from logs data. In this role, you’ll work closely with Product Managers and customers to drive complex initiatives across ingestion pipelines, search infrastructure, and intelligent log management capabilities - all while pushing the boundaries of what’s possible with AI and distributed systems. You’ll have the opportunity to lead efforts that shape the future of log management. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Partner with Product Managers to define ambiguous product requirements and determine the most impactful solutions for customers Lead technical strategy and execution and design systems surrounding log query performance and ingestion at scale. Explore and prototype new capabilities and collaborate with peers on initiatives spanning AI-powered log management, security and business operations, advanced query capabilities, and external data sources query capabilities. Mentor engineers across levels and contribute to growing a high-performing, collaborative team culture Who You Are: You have deep experience architecting and scaling backend systems, with a strong focus on data-intensive or distributed infrastructure You excel in ambiguous environments, demonstrating a mix of drive, curiosity and pragmatic decision-making You’ve partnered effectively with Product Managers and customers to define product direction and ship impactful features You have expertise in debugging complex systems and optimizing performance across real-time data pipelines You have experience in using AI agents tools in your day-to-day engineering practices You lead by example and enjoy helping others grow through m

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Team & Mission The Measurement Products team helps advertisers measure the incremental impact of their Pinterest campaigns and make informed investment decisions. We own and operate core measurement products including Pinterest Conversion Lift (PCL) Studies and Brand Lift Studies. We build the platform these products run on and are evolving it into our next‑gen Measurement Hub, an extensible platform that enables faster product iteration, onboarding of new study types, and deeper integration with Pinterest’s enterprise data and experimentation systems. Our mission is to measure true incremental impact and translate it into actionable insights for advertisers and partners. Role Summary We’re seeking a Staff Engineer to lead the architecture and technical direction of the measurement platform behind how advertisers understand the impact of the

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We're seeking an exceptional Staff Software Engineer to join our Observability team at Pinterest. This role combines deep technical expertise in distributed systems and data engineering with a product-oriented mindset to build world-class observability solutions that empower our engineering organization. As a Staff Engineer on the Observability team, you'll be responsible for designing and building the infrastructure and tools that provide visibility into Pinterest's large-scale distributed systems, helping thousands of engineers understand, debug, and optimize their services. What you'll do: Define and execute the observability roadmap, treating it as a product. Understand engineering team needs and translate them into technical solutions with measurable impact Architect, build, and scale distributed observability infrastructure (me

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Intro : The Service Communications team manages the foundational high-layer networking systems ensuring reliable, secure, and performant service-to-service interactions at Pinterest. Our Envoy-based mesh and multi-language frameworks provide critical primitives for hundreds of internal services, and we are looking for a Staff Engineer to lead technical strategy across identity, traffic optimization, and platform scaling. What you’ll do: Architect and deploy advanced service mesh features, focusing on service discovery, traffic shaping, and deep observability using Envoy proxy. Lead the organization-wide adoption of service identity and mTLS to satisfy critical AAA security requirements for service-to-service paths. Design traffic optimization primitives like locality-aware routing to materially reduce data transfer costs for high-vo

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity As agentic AI becomes the core fabric of how engineering is done worldwide, we want to be the leaders in how agents interact with APIs. This transformation requires solving agentic identity, extending or building new standards and protocols, building agent-to-agent interactions including authorization, licensing, trust delegation, security and monetization. We are looking for an exceptional Staff Engineer to help us build the next generation of our Business Platform to support the agentic era. You will be responsible for setting the vision for the long term architecture of various components in the Business Platform. You’ll be accountable for strategy, technical roadmap and architecture of the platform. You’ll work with multiple teams, overseeing and contributing to delivery and owning critical operational KPIs such as availability and uptime. Your role involves designing, implementing, and running critical tier 0 services for the company. We’re looking for a seasoned individual contributor leader who can work effectively with product management and engineering leaders within the company and build a high quality pla

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. About Dynamic Tables Dynamic Tables (DTs) are Snowflake's declarative streaming transformation primitive. Customers define a SQL query and a freshness target; Snowflake handles the rest: orchestrating refreshes, maintaining snapshot consistency across a DAG of dependencies, and automatically incrementalizing the computation so that cost scales with what changed. Dynamic Tables is one of the fastest growing products at Snowflake and is a core part of Snowflake’s Data Engineering strategy. The Dynamic Tables performance team is responsible for making incremental refresh fast, predictable, and cost-efficient across increasingly complex query shapes. As a Staff Engineer on this team, you will own the technical direction for critical performance initiatives and be a force multiplier for the engineers around you. What You'll Do Lead the design and implementation of performance improvements to the incremental view maintenance engine, including multi-join incrementalization, novel incrementalization semantics, incremental window functions, and stacked operations. Help define the roadmap for the incremental view maintenance engine, identifying key performance, scalability, and correctness milestones, prioritizing high-impact enhancements, and aligning technical investments with prod

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. POSITION SUMMARY CVS Health Digital is looking for hands-on, passionate people who want to join a high energy and growing team to make a difference in customers lives and who want to be on the forefront of digital innovation that aims to reinvent what a pharmacy and a health care company can be in the digital world. Currently, we are seeking a Staff Software Development Engineer, who will serve as a senior technical leader on a cross-functional product team responsible for designing, developing, and delivering scalable healthcare technology solutions. You will play a critical role in driving architecture decisions, mentoring engineers, and partnering with product, UX, and business stakeholders to build secure, cloud-native applications that enhance the digital healthcare experience. In this role, you will lead the development of distributed systems and microservices leveraging Java, Spring Boot, event-driven architectures, and modern cloud technologies. This Staff Engineer will also guide data migration and interoperability initiatives, supporting healthcare integrations that enable seamless and secure exchange of clinical data across platforms. The ideal candidate combines strong software engineering expertise with a passion for innovation, technical leadership, and delivering high-quality solutions in an Agile environment. Expectations for the Role Software

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity: Datadog’s Senior Staff Engineers are technical leaders operating at the forefront of large-scale systems design, building the infrastructure that will support our next five years of growth and beyond. They do this in three major ways: As individual contributors, they bring world-class technical depth to build industry-leading systems in areas such as observability data platforms, distributed query engines, and real-time event streaming at global scale. As technical leaders, they apply broad architectural perspective and deep systems thinking to align design decisions across teams and domains. They work across complex, multi-team problem spaces to define long-term technical direction, drive large-scale initiatives forward, and ensure consistent execution. As engineering stewards, they play a key role in evolving our systems and engineering culture. They actively participate in Datadog’s senior technical community, bringing external insights and internal experience to elevate engineering standards and mentor the next generation of technical leaders. Examples of projects a Senior Staff Engineer may lead include designing and launching a new distributed data storage engine capable of handling hundreds of millions of records per second, building the real-time infrastructure behind a new observability product, or re-architecting a core service to support exponential growth in throughput and complexity. What You’ll Do: Be the technical owner of multiple critical systems or architecture areas, often spanning several t

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Job: Airbnb Payments team allows any two people in the world to frictionlessly exchange money with easy to use payments services. It is a core strategy to fulfill Airbnb's belongs anywhere mission. We are building a world-class payments platform that moves billions of dollars, in 191 countries, with 75 currencies, through a complex ecosystem of payments partners. We build and maintain our own in-house global payments platform because no solution exists with the global reach needed. As the platform grows we'll be adding new payment partners, global licenses, compliance and regulation controls, and building new payment experiences for our guests and hosts. Airbnb's business grows rapidly year over year, and so does Airbnb Payments' processing volume. Payments Compliance is an essential part of the Payments organization. Without it, Airbnb can be subject to fines and even forbidden from conducting business in certain markets. As a Senior Staff Engineer and Technical Lead for the Payments Compliance organization, you would own the technical vision and architectural direction across the full Compliance engineering landscape — spanning Policy Enforcement, Identity, Screening, Auditing, and Compliance Experience. You will ensure our compliance systems are cohesive, scalable, and aligned with broader company priorities as we navigate an increasingly complex global regulatory environment. The Role: We are looking for a seasoned technical leader who can operate at the intersection of deep systems expertise and organizational influence. As a Senior Staff Engineer, you will serve as the connective tissue across Complia

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Position Overview: As a Staff/Principal Equipment Engineer within PROCT ADT, you will provide technical leadership to improve equipment performance, capability, and global manufacturing outcomes. You will lead complex, multi-site initiatives to resolve equipment challenges, enable technology node readiness, and drive yield and defectivity improvements. This role requires deep expertise, strong ownership, and the ability to influence across teams and suppliers to deliver measurable impact in cost, performance, and scalability. Responsibilities Lead global ownership of equipment performance across toolsets, driving improvements in stability, availability, matching, and efficiency. Direct complex, multi-fab root cause analysis for equipment-driven yield, defectivity, and reliability issues using data-driven and physics-based approaches. Provide technical leadership in tool hardware and chamber behavior to expand process capability and improve performance limits. Partner with Technology Development, integration, and process teams to enable node readiness, volume ramp, and disciplined change control. Influence equipment supplier strategy by leading technical engagements, driving design improvements, and aligning roadmaps to business needs. Drive global standardization through development, validation, and deployment of Best Known Methods (BKMs) across sites. Lead initiatives to improve cost of ownership, reduce variation,

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a talented engineer to join our CPU design team and lead the front-end RTL physical implementation team. Drive CAD flows on multiple process technologies while working closely with core micro-architects to refine CPU core configurations and optimizing PPA. You’ll work on a CPU based on RISC-V ISA, collaborating with DV, PD, RTL and performance teams to deliver a functional, timing, and power-converged design. This role is hybrid, based out of Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An expert in physical design practices used to optimize PPA Experienced in high-performance physical design. Proficient in RTL coding (Verilog/VHDL) and familiar with industry-standard tools for simulation and power analysis. Skilled in synthesis, place and route tools including flows and physical design methodology. Background in CPU micro-architecture. What We Need Own front‑end physical implementation and PPA definition for a high‑performance RISC‑V CPU and CPU subsystem Work closely with microarchitects and RTL designers to “make the IP better” by optimizing frequency, power, and area

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a Sr. Staff Design Verification Engineer to lead end-to-end verification efforts for our advanced CPU and AI compute platforms. This role is ideal for seasoned engineers with deep expertise in CPU verification who excel at driving complex test plans to closure, mentoring teams, and leveraging modern AI tools to accelerate innovation. This role is hybrid, based out of Boston, Toronto, Ottawa or Santa Clara. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Proven track record leading end-to-end CPU verification across processor cores, caches, interconnects, interrupts, MMU/IOMMU, and cache coherency protocols, with multi-chip and emulation experience a plus. Expert in creating comprehensive test plans and building simulation testbenches using SV-UVM, C/DPI, and Cocotb. Skilled in managing high-volume regression execution, complex failure triage, and driving test plans and coverage metrics to closure. Experienced leader and mentor dedicated to guiding junior engineers and fostering verification best practices across teams. Proficient in leveraging modern AI tools like Copilot, Cursor, Claude, Gemini, and ChatGPT to optimize ver

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Curious about how cutting-edge hardware actually comes to life? We're looking for someone who’s excited to dive into the core of next-gen systems and help make them real. In this role, you’ll validate high-speed interfaces, solve complex system-level puzzles, and collaborate across teams to shape the future of AI/ML computing. If firmware, hardware, and hands-on debugging sound like your kind of fun — let’s chat! This role is hybrid and based in Vancouver, Canada. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You love bringing hardware to life and enjoy the thrill of solving tricky problems across the hardware–firmware boundary. You’re hands-on in the lab and comfortable with tools like oscilloscopes, protocol analyzers, and JTAG — digging deep doesn’t scare you. You’re comfortable jumping into unfamiliar problems and figuring things out — whether it’s in the lab or in firmware. You’re curious, collaborative, and excited to work on technology that pushes the boundaries of performance. What We Need Someone to take the lead in validating our next-gen PCIe interfaces — from controller to PHY, and everything in between. A strong co

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a Design Verification Engineer to contribute to the unit-level verification of our RISC-V CPU front end—including instruction fetch, branch prediction, and surrounding fetch control structures. As a key individual contributor within our front-end DV team, you will focus on building testbenches, generating stimulus, and developing checkers for complex microarchitectural scenarios. This role is hybrid, based out of Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Front-End Experience: Solid background verifying CPU front-end blocks—such as instruction fetch, branch predictors (BTB, TAGE, RAS), instruction caches/TLBs, or decode—using SystemVerilog, UVM, and C++. Unit-Level Focus: Hands-on experience building clean, controllable unit testbench environments with precise stimulus and checking. Reusable Design: Pragmatic approach to building transactors, predictors, and scoreboards that can be reused across verification levels. Collaborative Problem Solver: Comfortable working alongside RTL designers to trace and fix misspeculation, redirect, and edge-case fetch bugs. What We Need Unit-Level Verifica