Principal Systems Test Operations Engineer Jobs

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. The Snowhouse Foundation team builds our globally distributed data warehouse. We manage a vast array of petabyte scale data sets that are continuously ingested, processed and replicated from across all Snowflake environments and external data sources. Snowhouse powers all of Snowflake’s core business, engineering and data science needs and provides customers with full visibility into their account activities, usage, and resource consumption from all their global environments. The team is investing in multiple critical areas, including a pipeline authoring platform, high performance/high efficiency data export, ingestion and data layout. Our team is also responsible for a fundamental product for Snowflake’s customers: the Snowflake system database/application that provides customers with all usage insights they need to reason about their global Snowflake footprint as well as 1st party business logic such as ML powered functions and Budgeting applications. AS A PRINCIPAL SOFTWARE ENGINEER IN SNOWHOUSE FOUNDATION, YOU WILL: Design and implement innovative highly available distributed platforms and pipelines and enhance the overall Snowflake data infrastructure Lead and drive projects from idea formulation to design, implementation and successful productionization. Collaborate

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Principal Software Development Engineer (Control-Plane) to join our Engineering team. This is a hybrid (in Santa Clara, CA office minimum 3 days per week) role, reporting to the Director, Software Development Engineering. We are expanding our existing control path and looking for a software engineer to help drive the development of new features and enhanced functionality. You will play a pivotal role in evolving our architecture to ensure it meets the demands of our growing user base. What you’ll do (Role Expectations) Define software design specifications and implement bug-free code using test-driven methodology and modern AI-based coding tools Design, develop, and optimize the system, including networking and security features, to support high-performance applications while performing unit testing and automation to ensure quality Apply strong software design principles and deep trou

Zoox is seeking a Staff Electrical Architecture System Engineer to join our Electrical Architecture team. Led by the Principal Architect, The Zoox Electrical Architecture Team is responsible for developing the power distribution, network topology and logical organization of ECUs to create the optimal autonomous robotaxi. In this role you will help develop electrical and electronic system architecture designs, best practices, and validation procedures for Zoox's ground-up autonomous vehicles. You will work with engineering leaders from various domains to capture their needs for low-voltage loads, system management and integrate these designs into the robotaxi. Collaboration with cross-functional teams is essential, as you'll work with vehicle integration, firmware, and vehicle component development teams to deliver solutions. We are looking for an engineer that is passionate about developing a ground breaking Robotaxi, has a strong system engineering background, has extensive experience in vehicle network, power distribution, power modes and ECU function distribution. Strong system problem-solving skills, organizational talent and a commitment to deliver on time are also required. In this role, you will: Own the low-voltage power distribution system requirements Own the vehicle communication architecture requirements Own the power modes and power states requirements Work with other system engineers and component owners in defining an architecture that supports their needs Participate in tech reviews to evaluate potential suppliers and ensure proper application of Zoox hardware standards Execute component performance analysis to maintain the total low-voltage system power needs Develop verification strategy and provide guidance to the test team in execution of test plan Root cause analysis and impact assessment for field issues in power distribution and network area. Qualifications BS

About Us Infinitum has raised the bar for a new generation of motor that is better for the planet and people. The company’s patented air core motors offer superior performance in half the weight and size, at a fraction of the carbon footprint of traditional motors, making them pound for pound the most efficient in the world. Infinitum motors open up sustainable design possibilities for the machines we rely on to be smaller, lighter and quieter, improving our quality of life while also saving energy and reducing waste. Based in Austin, Texas, Infinitum is led by a team of industry experts and pioneers. To learn more, visit goinfinitum.com . Position: Principal Engineer, PCB Technology Location: Austin, TX (HQ) Reports To: Chief Technology Officer Job Overview The Principal Engineer, PCB Technology reports to the CTO and is responsible for directing the development and continuous improvement of Infinitum’s PCB stators. This includes definition, system verification testing as well as the direct support to the R&D, Manufacturing and Quality teams. This individual is a key contributor to the qualification of new stator designs that are produced in-house, or from supplier partners using a wide variety of laboratory and analytical equipment. The candidate is expected to possess and/or quickly gain complete knowledge of the Characterization Lab equipment and its use. The individual is expected to add to Infinitum’s Intellectual Property portfolio by leveraging novel approaches in design or methods that result in performance improvements and/ or cost reductions. The candidate directs the activities of the Stator CAM team outputting NC and test data files for the shop floor and process routes (batch cards). Job Description · Define and develop manufacturing process for heavy copper PCBs. · Specify and engage PCB manufacturing equipment suppliers in process qualification. · Work with the Product Engineering and Advanced Manufacturing groups to transfer products to p

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. Our Platform: Our mobile apps are Swift and Kotlin. Our frontend is built with React. Our backend uses Elixir and increasingly more and more Python. GenAI has significantly impacted our system architecture, requiring us to adapt and evolve. We are in the midst of a shift from existing products augmented with AI to a full AI-first platform. You Are: A Mobile Principal Software Engineer who will lead our mobile team and evolve it to meet the shifting demand of a full AI-first platform — on a timeline measured in weeks, not quarters. You're deeply hands-on with AI coding agents, and you've used them to ship serious work, not just autocomplete. You're as comfortable architecting a thin mobile client backed by a powerful API as you are dropping into our Python backend (with AI assist) to add what mobile needs. You'll shape our participant experience across mobile with heavy influence on the web too. You're deeply product focused, energized by solving business problems, not just writing code. You ask "why" before "how," and you partner with Product and Design as a peer — shaping problems, not just taking specs. You know when to ship a scrappy prototype to test an assumption versus when to invest in a foundation built to last, and you can explain that call to a PM or designer. You can hold multiple projects in your head at once, spotting where they'll collide, depend on each other, or share a chance for reuse. You bring Principal/Staff-level scope as a product enginee

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. We're looking for a Director of Engineering to join our leadership team in AI Functions product portfolio, a hybrid director/principal engineer role at the forefront of AI-powered analytics. Join our Leadership team in AI Functions Product Portfolio. Our mission is to democratize AI by surfacing powerful AI functions directly in SQL for analyzing structured and unstructured data, with minimal configuration. We handle the full AI lifecycle behind the scenes, so data analysts, engineers, and scientists can build data transformation pipelines with AI using the most sophisticated building blocks seamlessly within their existing SQL workflows. The AI Functions product portfolio represents one of the most strategic and impactful product surfaces within Snowflake, bringing together two of the company’s core strengths: its industry-leading ability to process massive volumes of data and its growing capability to make that data AI-ready. By embedding advanced AI and LLM-powered functions directly into SQL, this portfolio transforms Snowflake from a data platform into an intelligent data system—where structured and unstructured data can be seamlessly prepared, enriched, and analyzed using AI at scale. This convergence enables customers to operationalize AI within their existing workfl

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. We're looking for a Director of Engineering to join our leadership team in the AI Functions product portfolio, a hybrid director/principal engineer role at the forefront of AI-powered analytics. Our mission is to democratize AI by surfacing powerful AI functions directly in SQL for analyzing structured and unstructured data, with minimal configuration. We handle the full AI lifecycle behind the scenes, so data analysts, engineers, and scientists can build data transformation pipelines with AI using the most sophisticated building blocks seamlessly within their existing SQL workflows. The AI Functions product portfolio represents one of the most strategic and impactful product surfaces within Snowflake, bringing together two of the company's core strengths: its industry-leading ability to process massive volumes of data and its growing capability to make that data AI-ready. By embedding advanced AI and LLM-powered functions directly into SQL, this portfolio transforms Snowflake from a data platform into an intelligent data system where structured and unstructured data can be seamlessly prepared, enriched, and analyzed using AI at scale. This convergence enables customers to operationalize AI within their existing workflows, unlocking faster insights, more powerful applicatio

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

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Product Engineering at Decagon builds all aspects of the platform our customers use to create, operate, and improve their AI agents. We turn work that currently requires an engineer into product that a CX team can run themselves. This team is core to how Decagon scales. The frameworks we build support every agent we have in production, each with its own workflows, data, and constraints. We build the agents too, and that’s what keeps the platform honest: a failure mode we debug in production becomes a guardrail, an eval, or a piece of tooling that catches it everywhere. Our agents run for companies like Hertz, American Airlines, and Notion across chat, voice, email, and SMS. About the Role You’ll design and build the systems that let customers configure, train, test, and monitor sophisticated AI agents with confidence. That means strong engineering underneath, and abstractions on top that hold up across different use cases without forking per customer. You’ll work day to day with prod

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Product Engineering at Decagon builds all aspects of the platform our customers use to create, operate, and improve their AI agents. We turn work that currently requires an engineer into product that a CX team can run themselves. This team is core to how Decagon scales. The frameworks we build support every agent we have in production, each with its own workflows, data, and constraints. We build the agents too, and that’s what keeps the platform honest: a failure mode we debug in production becomes a guardrail, an eval, or a piece of tooling that catches it everywhere. Our agents run for companies like Hertz, American Airlines, and Notion across chat, voice, email, and SMS. About the Role You’ll design and build the systems that let customers configure, train, test, and monitor sophisticated AI agents with confidence. That means strong engineering underneath, and abstractions on top that hold up across different use cases without forking per customer. You’ll work day to day with prod

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Product Engineering at Decagon builds all aspects of the platform our customers use to create, operate, and improve their AI agents. We turn work that currently requires an engineer into product that a CX team can run themselves. This team is core to how Decagon scales. The frameworks we build support every agent we have in production, each with its own workflows, data, and constraints. We build the agents too, and that’s what keeps the platform honest: a failure mode we debug in production becomes a guardrail, an eval, or a piece of tooling that catches it everywhere. Our agents run for companies like Hertz, American Airlines, and Notion across chat, voice, email, and SMS. About the Role You’ll design and build the systems that let customers configure, train, test, and monitor sophisticated AI agents with confidence. That means strong engineering underneath, and abstractions on top that hold up across different use cases without forking per customer. You’ll work day to day with prod

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Product Engineering at Decagon builds all aspects of the platform our customers use to create, operate, and improve their AI agents. We turn work that currently requires an engineer into product that a CX team can run themselves. This team is core to how Decagon scales. The frameworks we build support every agent we have in production, each with its own workflows, data, and constraints. We build the agents too, and that’s what keeps the platform honest: a failure mode we debug in production becomes a guardrail, an eval, or a piece of tooling that catches it everywhere. Our agents run for companies like Hertz, American Airlines, and Notion across chat, voice, email, and SMS. About the Role You’ll design and build the systems that let customers configure, train, test, and monitor sophisticated AI agents with confidence. That means strong engineering underneath, and abstractions on top that hold up across different use cases without forking per customer. You’ll work day to day with prod

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The AI Platform team builds the foundational systems that enable every engineer at Decagon to build with AI. Our users are both engineers and coding agents. We build the execution environments, agent harnesses, evaluation systems, developer tools, and shared abstractions they use to plan, write, test, review, and ship production software. We sit within Infrastructure and work closely with product, ML, data, and security teams. Our goal is to turn rapidly evolving agent capabilities into reliable, secure platforms that materially change how software gets built at Decagon. About the Role We’re looking for an experienced software engineer to help build Decagon’s AI-native developer platform. You’ll work at the intersection of distributed systems, developer tooling, and applied AI. You will experiment with new agentic workflows, identify where they create real leverage, and turn the best ideas into dependable systems used across the engineering organization. This is a highly product-orie

Principal Systems Engineer Company: The Boeing Company The Boeing Company has an exciting opportunity for a Principal Systems Engineer to join our team located in North Charleston, SC. The Engineering Operations (EngOps) Organization within 787 Airplane Level Integration Team (ALIT) is seeking a highly experienced engineer to lead our growing Systems Engineering (SE) team in Charleston and drive implementation activities for SE across the 787 program. The position requires a candidate with a servant leadership mindset who communicates and collaborates well with others. They need to foster an environment that values diversity. This role will have an emphasis on mentoring/coaching teammates, establishing positive working relationships, and instilling a culture of engineering excellence and safety, and technical leadership. The desired Systems Engineering candidate is a degreed engineer who will provide technical leadership, strategic vision, and systems engineering guidance for engineers across a variety of Integrated Product Teams (IPT) implementing design changes to 787 airplane systems. They will lead the development and implementation of SE initiatives to support 787 engineers in compliance with Boeing and industry standards. Candidates should have design or systems engineering background with experience on the 787 or a comparable commercial airplane program. Position Responsibilities: Oversees the facilitation of 787 Tier 0-2 Requirements Management Processes (New, Modified, and Deviations), enabling the progression of requirement change packages from initiation through implementation. Advises design engineers in application of engineering judgement through active colla

NVIDIA has transformed computer graphics, PC gaming, and accelerated computing for more than 25 years through exceptional technology and the people who build it. In semiconductor manufacturing, our role is to enable the ecosystem, not compete within it. We partner with fabs, equipment manufacturers, and software providers to make inspection, metrology, and manufacturing intelligence dramatically faster on the NVIDIA platform. Our team builds the software that makes this possible: models, adaptation and evaluation workflows, and deployable inference capabilities that partners integrate into their own tools. We work in environments where labeled data is limited and proprietary, distributions shift across tools and fabs, production budgets are tight, and software must operate inside air-gapped facilities. We’re seeking a Principal Systems Software Engineer for Semiconductor Inspection in Santa Clara. This is a hands-on architect role: you will define the approach, build it, evaluate it, and demonstrate the results. You will work across computer vision, time-series modeling, multimodal AI, anomaly detection, model adaptation, evaluation, and production inference. Success means technology that a fab or equipment vendor can integrate, operate, and trust—not only a successful internal demonstration. What you’ll be doing: Define and prototype AI system architectures spanning optical and e-beam inspection, wafer and mask inspection, metrology, defect review, equipment signals, and process data. Advance world foundation model capabilities for semiconductor manufacturing, including vision, time-series and multimodal representation learning, model adaptation, domain transfer, and data-scarce defect understanding. Develop workflows for defect detection, classification, localization, segmentation, nuisance filtering, ADC, AD