Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their users' identities for fraud prevention, regulatory compliance, and trust and safety purposes.

At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more adoption.

Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at the frontier of what's possible in identity engineering.

What you’ll do

As a Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural influence, and the ability to turn an ambitious vision into a reliable, scalable system.

Responsibilities

• Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform, fraud detection infrastructure), make build-vs-buy-vs-partner decisions, and surface technical risks before they become customer-facing failures
• Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution from a hosted-UI product to a headless-API and embedded-components platform
• Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML, product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the full breadth of Stripe's product surface
• Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor senior engineers on the judgment needed to operate a high-stakes, externally-facing product
• Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the observability and alerting that catch model drift and fraud pattern shifts before customers do

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role.
• Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products). 
• Proven track record of delivering pragmatic solutions that accelerate business growth 
• Ability to adjust conversations from high-level discussions to detailed coding 
• Thrives on a high level of autonomy and responsibility 
• Clear and persuasive writing and in-person communication 
• Strong problem-solving skills, critical thinking, determination, and a growth mindset 
• Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high level of psychological safety for all team members and partner
• Has experience in a range of software languages and frameworks. Examples of what we work with include:
• Languages: primarily Ruby and Typescript, but also Python, Scala, Java, Go, and SQL (Spark and Trino dialects)
• Frameworks: React, GraphQL Kafka, Protobuf, Airflow, Bazel, Temporal, 
• Others: Mongo, Splunk, Prometheus

Preferred qualifications

• Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial inputs at scale
• Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback loops that keep models accurate under adversarial conditions
• Experience building platform products with multiple consumer types — internal platform teams and external developers — where API backward compatibility and abstraction quality are first-class concerns
• Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly
• Exposure to the technical stack we work with: primarily Ruby and TypeScript on the backend and web, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, and distributed data stores
• Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge

Why Stripe Identity

• The market is at an inflection point. The global identity verification market is growing at ~15% CAGR, from $12.5B in 2024 to $21.8B by 2028. Competitors have more features today — but none of them have Stripe's moat: payments signals, fraud network, consumer graph, and KYC data spanning the full financial ecosystem. We're building to win the next decade, not the last one.
• The problems are genuinely hard. Adversarial ML against deepfakes and face swaps. Distributed identity graph architecture with real-time freshness requirements. Progressive verification APIs that minimize friction without sacrificing fraud detection accuracy. These are unsolved problems — not just at Stripe, but in the industry.
• You'll work on systems that matter immediately. The verifications we run protect real users from real fraud. When our recall improves by 10 points, that's millions of dollars in prevented fraud losses for customers who rely on us. When our mobile SDK completion rate rises, thousands more legitimate users successfully onboard each month.
• The team is small enough that your judgment shapes the architecture. This isn't a role where you inherit decisions made five years ago. It's a role where the decisions you make in 2026 are the ones the team will build on through 2029.

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Global Payments Performance Team are Stripe’s foremost payments experts, identifying payment optimization opportunities for Stripe’s users. We serve a critical role both in demonstrating thought leadership on challenging payment topics and partnering with our high-potential merchants to set them up for long term success. We make payments performance a competitive advantage for our users, large and small, by providing them with best-in-class technology in concert with insightful and specific advice on how to harness this technology to achieve their business goals.

What you’ll do

You’ll be embedded directly within the Global Payments Performance team, and responsible for data & tooling used by the team and our stakeholders. You will be instrumental in scaling the subject matter expertise of the team’s payments domain experts - building datasets, agents, and tools that enable Stripes to deliver tailored, expert level content to their customers.

Responsibilities

• Develop analytics products, dashboards, and tools that GTM leverages to deliver expert level payment optimization sessions to Stripe customers.
• Maintain analytics assets owned by the team, such as metric definitions, technical documentation, vertical agents and query repositories.
• Build data pipelines that power our user insights.
• Act as a resource to the team communicating the nuance and technical complexity of payments performance adjacent data.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 7+ years experience in Analytics, Business Intelligence Engineering, Data Science or Technical Customer Advisory roles.
• 4+ years experience with SQL and Python.
• Working understanding of code development processes and best practices s.a. git, code reviews, and testing.
• Expertise in data visualization and using data insights to make recommendations.
• Proven ability to manage and deliver on multiple projects with great attention to detail.
• Ability to clearly communicate results and drive impact.

Preferred qualifications

• Degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
• Familiarity with the payments ecosystem and how merchants optimize payment processing (e.g., conversion, authorization rates, authentication success rates, transaction fraud, and network costs

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Stripe Terminal helps our users extend their online presence to the physical world. The Terminal team’s mission is to make it as easy for businesses to accept in-person payments as the Stripe API has done for online payments – building for Unified Commerce. With Terminal, businesses can unify their in-person and online experiences, unlocking payments use cases that are right for their business model – whether it’s creating a modern retail experience, extending their website to a pop-up store, or enabling a mobile point-of-sale at their next event.

Within Terminal, the Developer Productivity team empowers mobile, full-stack and embedded/firmware engineers to ship high-quality products quickly and safely. We build tools, processes and infrastructure that accelerate engineers across multiple teams. Our work is critical to supporting Stripe’s in-person payment products and, ultimately, to helping increase the GDP of the internet.

We own a diverse tech stack, including build and developer productivity tooling for mobile engineers; release tooling that enables Terminal releases across SDKs, Android apps and firmware; and test automation infrastructure that helps product engineers ensure the quality and reliability of what they ship. As an engineer on this team, you’ll shape and deliver major pieces of this tooling and infrastructure and help raise the bar for developer experience across Terminal.

What you’ll do

Responsibilities

• Design, build and maintain tools, libraries and infrastructure that improve the productivity of Terminal engineers across mobile, backend and embedded systems.
• Collaborate closely with mobile engineers to understand their workflows and pain points and translate them into practical short-term and long-term solutions.
• Contribute to and improve our build, CI/CD and test automation systems for Terminal SDKs, Android apps and firmware.
• Work with stakeholders across Terminal to prioritize work, balance competing needs and ensure your solutions integrate cleanly into existing workflows.
• Own projects end-to-end, from problem discovery and design through implementation, rollout and ongoing operation.
• Participate in code reviews, design discussions and documentation to maintain a high bar for code quality, reliability and developer experience.
• Mentor other engineers in areas such as build, test and release best practices, helping to spread strong developer productivity practices across the team.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• BS or MS in Computer Science or a related field, or equivalent practical experience.
• 6+ years of software engineering experience, including meaningful experience with backend systems and at least one of: Android/mobile or embedded/firmware development.
• Experience designing, implementing and maintaining production systems or developer tooling.
• Understanding of how to build scalable, reliable and observable services, pipelines, or tooling.
• Experience owning projects from design through implementation, rollout and ongoing support.
• Ability to thrive in a collaborative environment involving multiple stakeholders and subject matter experts.
• Strong communication skills and the ability to explain technical concepts clearly to different audiences.
• Based in the PST time zone

Preferred qualifications

• Proficiency in one or more of: Kotlin, Java, or Go.
• Experience building tools or platforms to improve developer productivity, with clear empathy for internal developer users.
• Experience with CI/CD tooling and pipelines (e.g. Jenkins, GitLab CI, GitHub Actions) and modern build systems.
• Experience designing and maintaining automated testing infrastructure (e.g. integration/end-to-end tests, test orchestration, or reducing test flakiness).
• Experience with Android build and test tooling (e.g. Gradle, emulators, device farms) or firmware build pipelines.
• Experience in payments, point-of-sale, or hardware-integrated systems is a plus.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world's largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Stripe's Marketing organization is undergoing a fundamental transformation in how it works. We're building a team of Forward Deployed AI Accelerators (FDAs) embedded directly with marketing cohorts to make AI the default mode for all work — not an occasional tool, but the foundation of how every marketer at Stripe executes.

Today, marketers are already achieving remarkable results: building their own data dashboards, creating agents that compress multi-day processes, and authoring tools that accelerate workflows. The FDA team exists to take what's working and systematically scale it across the entire marketing organization.

What you'll do

As a Forward Deployed AI Accelerator, you'll be embedded with a group of approximately 20 marketers organized by functional team, shared workflow, or location. You'll build alongside them, and you will help them fundamentally change how they operate. Your measure of success is the number of workflows you've permanently transformed and the extent to which those in your group start any task with an AI tool.

Responsibilities

• Identify and document the highest-leverage workflow transformations within your group's day-to-day work by deeply understanding their processes and outputs
• Build custom tools, agents, automations, and skills tailored to each marketer's specific responsibilities
• Coach and partner with each marketer through a progressive journey: from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency
• Teach marketers to build and iterate on their own tools over time, creating independence
• Recognize patterns across your cohort and systematically scale what works — a tool built for one marketer should become reusable for their peers
• Document every tool, playbook, and transformation pattern you build so the entire FDA team can use each other's work
• Share wins visibly within your cohort and with leadership to build momentum, inspire, and celebrate success
• Track individual and cohort progress rigorously against a defined maturity model, moving every marketer toward self-sustaining, AI-first work
• Prepare marketers for an agentic future — not just prompt writing, but designing, building, and overseeing autonomous, multi-agent workflows

Who you are

We're looking for people who have already lived the transformation they'll be driving for others. You've used AI to fundamentally change how you work — not as a novelty, but as your default operating mode.

• You are a deep AI practitioner. You build agents, automations, and tools fluently. You don't just know what AI can do in theory — you've built things that changed how real work gets done. You can build in real time alongside the people you support.
• You are an exceptional coach and communicator. You can meet people wherever they are. You create desire for progress, and you adapt your approach to each person.
• You understand marketing work. You either have direct experience in marketing or can quickly learn the workflows, deliverables, tools, and pressures of your assigned group. You know that understanding someone's work is a prerequisite to transforming it.
• You are a pattern recognizer. When you build something that works for one person, you immediately see how it applies to others. You think in systems, not one-off solutions.
• You are high-caliber, persistent, and versatile. Your skills and experience are valuable across the company. You're the kind of person who could succeed in many roles at Stripe.
• You bias toward action and speed. You'd rather show someone a working proof-of-concept on their own deliverable today than present a polished deck about what's theoretically possible next quarter.
• You are comfortable with ambiguity and evolution. This is a new team building a new operating model. The playbook will be rewritten as we learn. You thrive in that environment.

Minimum requirements

• 5+ years of professional experience in a role requiring analytical thinking, problem-solving, and cross-functional collaboration
• Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes (not just using AI as a chatbot — building with it)
• Track record of coaching, teaching, or enabling others — formally or informally — with evidence that people you've helped actually changed how they work
• Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and adapt your style to different learners
• Comfort working across multiple workstreams and relationships simultaneously (you'll be supporting ~20 marketers at varying stages of their AI journey)

Preferred qualifications

• Experience in marketing, marketing operations, growth, or a closely adjacent function
• Proficiency with AI development tools and platforms (e.g., Claude, Claude Code, Codex, custom agent frameworks, API integrations, workflow automation tools)
• Experience with change management, organizational transformation, or large-scale enablement programs
• Familiarity with marketing technology stacks (e.g., Marketo, Salesforce, analytics platforms, content management tools)
• Experience building and scaling internal tools, templates, or playbooks that were adopted beyond your immediate team
• Background in consulting, solutions engineering, technical account management, or other client-facing technical roles

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the teams

MaaS (“Money as a Service”) Data Science

The MaaS Data Science team is central to all money movements, embedded finance, and platform solutions for our biggest and most complex customers.  The two roles available are in Embedded Finance (Capital, Issuing) and Connect (Stripe’s solution and growth suite for platforms and marketplaces).  We set the data foundations for company wide data primitives + external products; drive strategy through modelling, analytics, and experimentation; build world class data-driven + ML powered product experiences; and partner closely with cross-functional partners across all facets of the business (Product, Engineering, Risk, Marketing, Ops, Strategy, and more) to ensure the success of our Connect, Capital, and Issuing product suite.  

Growth Data Science

The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to optimize every step of the user journey, from awareness and acquisition, through product adoption, to usage growth and retention. Our team is known for being an experimentation powerhouse, for pushing the frontiers of causal analysis and cumulative impact measurement, and for developing a deep understanding of the user journey that helps drive the product roadmap. We work closely with Growth Product and Engineering, and more broadly with Sales, Marketing, Developer Platform, Support, and Risk teams.

What you’ll do

Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership.

Responsibilities

• Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven.
• Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
• Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe
• Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
• Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team
• Contribute to broad data science initiatives as a member of Stripe’s data science management team.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering).
• You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
• You have demonstrated expertise in designing metrics and guiding business decisions with data.
• You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
• You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
• You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• You have clear and persuasive communication skills in writing and verbally.
• You thrive on a high level of autonomy and responsibility.
• You foster a healthy, inclusive, challenging, and supportive work environment.

Preferred requirements

• You are comfortable working with geographically distributed teams
• Expertise in time series forecasting, predictive modeling, or optimization
• Expertise in data design and building scalable data architectures

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Global Payments Performance Team are Stripe’s foremost payments experts, identifying payment optimization opportunities for Stripe’s users. We serve a critical role both in demonstrating thought leadership on challenging payment topics and partnering with our high-potential merchants to set them up for long term success. We make payments performance a competitive advantage for our users, large and small, by providing them with best-in-class technology in concert with insightful and specific advice on how to harness this technology to achieve their business goals.

What you’ll do

You’ll be embedded directly within the Global Payments Performance team, and responsible for data & tooling used by the team and our stakeholders. You will be instrumental in scaling the subject matter expertise of the team’s payments domain experts - building datasets, agents, and tools that enable Stripes to deliver tailored, expert level content to their customers.

Responsibilities

• Develop analytics products, dashboards, and tools that GTM leverages to deliver expert level payment optimization sessions to Stripe customers.
• Maintain analytics assets owned by the team, such as metric definitions, technical documentation, vertical agents and query repositories.
• Build data pipelines that power our user insights.
• Act as a resource to the team communicating the nuance and technical complexity of payments performance adjacent data.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 7+ years experience in Analytics, Business Intelligence Engineering, Data Science or Technical Customer Advisory roles.
• 4+ years experience with SQL and Python.
• Working understanding of code development processes and best practices s.a. git, code reviews, and testing.
• Expertise in data visualization and using data insights to make recommendations.
• Proven ability to manage and deliver on multiple projects with great attention to detail.
• Ability to clearly communicate results and drive impact.

Preferred qualifications

• Degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
• Familiarity with the payments ecosystem and how merchants optimize payment processing (e.g., conversion, authorization rates, authentication success rates, transaction fraud, and network costs

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Accounting Team is responsible for understanding and telling Stripe’s financial story and shaping our collective understanding of how Stripe is performing as a business. Our primary focus is maintaining a well-controlled environment that effectively supports corporate governance, financial reporting and disclosure requirements. We advise and enable Stripe to grow – supporting all products at Stripe, consulting on accounting implications and supporting teams’ ability to make informed strategic decisions. We operate in a fast-paced environment and collaborate significantly with cross-functional and international teams.

What you’ll do

Our Accounting team is seeking an innovative embedded technical resource to help us scale for the future, in a fast-paced environment that’s growing rapidly. You’ll leverage your accounting, artificial intelligence (AI), and technical expertise to build intelligent solutions that enhance Stripe’s accounting capabilities. You’ll develop AI-powered tools and models, autonomous agents, and data products that automate complex workflows and provide actionable insights within a framework of financial reporting control. Working at the intersection of artificial intelligence, accounting, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet. 

Responsibilities

• Apply your accounting and finance domain expertise to identify, explore, and prototype high-impact opportunities where AI can solve complex accounting challenges 
• Build using AI-powered tools and artificial intelligence solutions to automate accounting workflows, enhance controllership, and scale our operations
• Design and deploy autonomous AI agents using frameworks that can reason, plan, and execute complex multi-step problems and enhance decision-making processes through understanding risk and maintaining effective financial reporting controls.
• Ship and maintain interactive data products and self-service analytics tools using SQL and Python frameworks (data visualization and dashboards, low-code application building frameworks) that provide real-time insights and actionable intelligence
• Work across Accounting and partner teams to uncover efficiency opportunities, including AI use cases, document requirements, and translate complex financial workflows into well controlled technical solutions
• Partner with Accounting and SOX teams to assess and develop an effective internal controls approach to AI-based accounting solutions

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of relevant experience, with at least 4+ years of experience in accounting related or adjacent roles (e.g. finance systems, process improvement) 
• B.A. or B.S degree in Accounting, Finance, Finance Systems or Information Systems
• Fluency in U.S. GAAP
• Advanced proficiency in SQL, including writing complex queries, using CTEs (common table expressions), window functions, and joins for data analysis and pipeline logic
• Familiarity with modern data tools (Python, Databricks, ETL/ELT processes, data pipelines) and coding with AI assistance
• Comprehensive understanding of AI fundamentals and experience with emerging AI/LLM tools, conversational interfaces, prompt engineering, or automation platforms and RPA
• Solution and results-oriented, with a focus on delivering impact in a fast-paced environment 
• Excellent communication and organizational skills, both written and verbal, with the ability to convey financial concepts to both financial and non-financial audiences
• Experience with internal controls (design, implementation and execution)

Preferred qualifications

• Familiarity with the payments industry and fintech landscape

About the role

We are seeking a Staff Software Engineer to build and operate the safety, oversight, and intervention mechanisms that protect Claude on third-party cloud service provider (CSP) platforms. As the engineer responsible for Safeguards on those surfaces, you will ensure that every request served through our CSP partners is monitored for misuse, enforced against policy, and compliant with the data residency and privacy commitments that enterprise CSP customers expect.

You will sit at the seam between the Safeguards organization and the Cloud Inference team: taking classifiers, detection signals, and enforcement policies developed by Safeguards and making them run reliably inside a CSP partner’s infrastructure at serving-path latency and scale. You will own the architecture that lets our safeguards operate within those constraints without gaps. You will build, deploy and operate the multi-layered defenses that catch unwanted model behavior in real time, the telemetry pipelines that give us situational awareness over CSP traffic, and the enforcement hooks that let us act quickly when something goes wrong. Your work will directly determine whether Anthropic can ship frontier models on CSP platforms at the same safety bar we hold ourselves to on our first-party API.

Responsibilities:

• Build, deploy and operate real-time safeguards infrastructure—classifiers, rate limits, enforcement actions, and intervention hooks—embedded directly in the third-party CSP inference serving path
• Design and maintain the data residency and privacy architecture for safeguards signals on CSP platforms, ensuring we can detect abuse and monitor model behavior while honoring regionalization boundaries and enterprise contractual commitments
• Develop telemetry, logging, and evaluation pipelines that give Safeguards, Policy, and T&S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving
• Dive into the CSP serving stack to identify the lowest-impact points to gather signals or introduce interventions without degrading latency, stability, or overall architecture
• Hold a high operational bar: own on-call, drive root-cause analyses and postmortems for safeguards incidents on CSP platforms, and build systems that reduce the human intervention required to keep Claude safe
• Work closely with Safeguards research, Policy & Enforcement, the Cloud Inference team, and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partner’s cloud.

You may be a good fit if you:

• Have a Bachelor’s degree in Computer Science, Software Engineering, or comparable experience
• Have 7+ years of experience in high-scale, high-reliability software development, ideally with exposure to trust & safety, anti-abuse, fraud, or integrity systems
• Are proficient in Python and comfortable working across the stack—from request-path services to data pipelines to internal tooling
• Think adversarially: you can see a system from a bad actor’s perspective, anticipate how they will respond to countermeasures, and design defenses in depth rather than single points of enforcement
• Have experience scaling infrastructure to accommodate rapid traffic growth while keeping latency and reliability within tight budgets
• Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
• Have strong communication skills and can explain complex technical and risk tradeoffs to non-technical stakeholders across Policy, Legal, and partner organizations
• Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space

Strong candidates may also have experience with:

• Building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems, or the infrastructure to support these systems at scale
• Machine learning serving infrastructure (GPUs/TPUs, inference servers, load balancing) and the operational realities of running models in production
• Major cloud platform internals—IAM, Network/service perimeter controls, regional resource constraints, cloud-native logging/monitoring—or experience shipping software that runs inside a partner’s cloud rather than your own
• Data residency, privacy engineering, or compliance-constrained architectures, particularly where telemetry has to stay within regional or contractual boundaries
• Working closely with operational and human-review teams to build custom internal tooling, admin UX, and alerting
• Adversarial mindset: has shipped defenses against motivated attackers before, knows what it feels like when they adapt, and can sprint to close a gap before it becomes an incident
• Comfortable operating at the intersection of platform/infra engineering and trust & safety—neither a pure infra engineer nor a pure T&S engineer, but someone who can credibly do both
• Has shipped software that runs inside someone else’s infrastructure (partner cloud, embedded deployment, or similar) and knows how to get things done when you don’t control the whole stack
• Senior enough to own a cross-team seam independently, drive consensus across orgs, and make latency/safety tradeoff calls without escalation
• TypeScript or Rust, and agentic coding tools such as Claude Code

We created Xealth with the mission to improve physician efficiency and patient outcomes by enabling healthcare teams to order digital content and services as easily as they do medications today. Xealth is a small and energetic team that's passionate about revolutionizing healthcare. 

As our Strategic Account Director you’ll manage a book of premier enterprise health systems clients with a focus on growing executive relationships and account growth. You’ll work closely and frequently with clinical and executive stakeholders to articulate the value of Xealth and our Partner Solutions, help make Xealth part of their digital health strategies, and achieve measurable clinical or operational goals.

As an Account Director at Xealth, you will:

• Provide strategic account management from onboarding and activation through to invoicing, value reporting, QBRs, and the renewal and expansion process to ensure account growth.
• Maintain tactical oversight to ensure implementations run smoothly
• Build strong stakeholder relationships, specifically around digital health with health system peers, sharing best practices across the Xealth ecosystem.
• Deeply understand your clients Digital Health strategies and to tie Xealth into their digital and virtual care programs with measurable ROI.
• Evangelize Xealth and advocate for your customers, both internally and by becoming an active part of the Xealth community (forums, trade shows, events, etc), encouraging client participation, and showcasing success stories..
• Partner with Sales, Product, Implementation, and Engineering teams to ensure exceptional client outcomes.

Our ideal Account Director will have will have:

• 10+ years of Healthcare Technology Account Management, Sales, or Consulting, working with C-level stakeholders within enterprise health systems
• Experience introducing, integrating, and scaling technology products and services, preferably SaaS solutions, into enterprise healthcare companies
• Knowledge of EHR/EMR, including experience with modern software products that integrate into Epic or Cerner, along with a thorough understanding of the digital health ecosystem and their technical mechanisms (FHIR, HL7, other APIs, etc)
• Ability to represent Xealth’s product, technology, and EMR integrations to stakeholders at all levels
• Preference for: Startup experience; executive relationships within enterprise health systems; Experience with SaaS products that include PHI or integrate into EMR systems like Epic or Cerner; Digital Health Consulting or Product Management experience

About Xealth

Xealth created the leading digital health platform helping health systems deliver connected, personalized care at scale. Embedded in the EHR, it enables clinicians to prescribe, automate, and measure the impact of digital tools--including apps, services, and wearable data--within existing workflows. Now part of Samsung's connected care vision, Xealth enhances decision-making, reduces friction, and supports enterprise-wide digital health strategies. Trusted by more than 500 hospitals and 70+ solution partners, Xealth provides a scalable foundation for delivering connected, personalized, and preventative care--empowering health systems to drive outcomes, engagement, and operational efficiency while advancing digital transformation.

As a market-leading digital health platform recognized for excellence and culture, some of our recent accolades include: Newsweek’s World’s Best Digital Health Companies (2024-2026), consecutive Gold Digital Health Awards, and we were named a BuiltIn Best Place to Work for 2025 and 2026.

Compensation & Benefits

Xealth offers a multi-tiered approach when constructing a highly competitive compensation package. The compensation package for this role is in the range of $160,000 - 175,000 base with an 80/20 split for incentive based commissions.

🍼 Paid parental leave.
💝 Comprehensive medical, dental, and vision policies. Xealth covers 100% of employee premiums. We also provide Employee Assistance Programs.
💻 Xealth provides your laptop and offers $250 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.
📚 Generous learning & development opportunities for you to grow your skills and career.
🏦 401k Match: Xealth offers a dollar-for-dollar match up to 3%.
🏝 Flexible time off & 10 standardized holidays. 
🚲 $500 yearly fitness stipend to spend on staying active.

Xealth is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

Xealth is open to hiring in the following states: Arizona, California, Idaho, Illinois, Massachusetts, Minnesota, Missouri, New Jersey, Ohio, Oregon, Texas, Utah, Washington, Wisconsin.

Learn more about us at www.xealth.com

We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What You’ll do:

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean:

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range: 

• $195,000 - $239,000

*This is a hybrid role

JR: 2026-7748

#LI-Hybrid

What we are looking for

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We're searching for a Staff Security Engineer to join our Enterprise Security Engineering team, reporting to the Technical Lead Manager of Security Engineering.

Aurora is scaling its autonomous trucking operations, and the security foundations protecting our employees, devices, internal systems, and data need to scale with us. We're looking for a deeply technical enterprise security engineer who is as comfortable in a code editor as in a security console — you build the systems that make Aurora's security operations possible. This is a role for someone who can architect robust enterprise security solutions, write the code to implement them, and partner across Engineering and IT to make sure security is embedded from the start, not bolted on at the end.

This is not a security operations-only role. It sits squarely in enterprise security engineering, where the work is designing, building, and owning the platforms, integrations, and automation that power Aurora's internal security posture at scale.

In this role you will

• Own the architecture and implementation of Aurora's enterprise security controls — designing the systems and integrations that protect Aurora's endpoints, identities, internal infrastructure, and SaaS environment.
• Design and build Aurora's security telemetry and detection infrastructure, including log pipelines, SIEM integrations, and alerting frameworks — in partnership with the Security Operations Engineer who owns ongoing tuning and rule development.
• Define and enforce enterprise security standards, conducting architecture and design reviews to ensure alignment with Aurora's security posture and risk tolerance.
• Partner with IT, Infrastructure, and Engineering teams to embed security requirements early — shifting left on corporate IT initiatives before they become technical debt.
• Build automation and tooling that extends the capabilities of Aurora's security platforms, reduces manual operational burden, and scales the team's impact.
• Serve as the escalation point for enterprise security incidents requiring engineering-level investigation or remediation, and participate in the team's on-call rotation.
• Translate security strategy into concrete, executable engineering projects with clear milestones and measurable outcomes.

Required qualifications

• 12+ years of hands-on experience in enterprise security engineering or corporate information security — specifically securing employee-facing systems, endpoints, identities, and internal infrastructure (not product or application security).
• Proficiency in at least one programming language, used in a security context — writing production-quality automation, integrations, or internal tooling (the team primarily uses Go; Python is also common).
• Experience architecting and integrating enterprise security platforms — designing API integrations, automating workflows, and building tooling that extends platform capabilities across domains such as EDR/XDR, MDM, IAM/IGA, DLP, SaaS security, cloud security, or PKI.
• Experience designing and building security telemetry pipelines and detection infrastructure — log ingestion, normalization, SIEM integration, and alerting architecture.
• Experience leading cross-functional security engineering projects — defining scope, driving execution, and aligning stakeholders across Engineering and IT.
• Track record of conducting security architecture reviews and translating findings into actionable, risk-prioritized remediation plans.
• Experience evaluating security posture and identifying systemic gaps, with a bias toward building durable solutions rather than one-off fixes.

Desirable qualifications

• Experience with Zero Trust architecture and identity-centric security models (BeyondCorp-style or similar).
• Familiarity with NIST CSF, MITRE ATT&CK, and CIS Benchmarks as engineering inputs — used to inform what to build and how to validate it, not just as compliance checkboxes.
• Hands-on AWS security experience (SCPs, GuardDuty, Security Hub, IAM, etc.) and familiarity with integrating cloud security signals into a corporate security platform.
• Experience with applied cryptography and PKI in a production enterprise environment — certificate lifecycle management, CA design, or secrets management.
• Familiarity with securing AI/ML platforms or applications built on LLMs, RAG pipelines, or MCP-based architectures.
• Security certifications such as CISSP, GCED, GREM, or similar (valued but not required).

The base salary range for this position is $189,000 - $274,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#Mid-Senior 

Available Locations: Seattle, WA

About the Role

Cloudflare’s Senior Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.

As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.

You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.

This role is ideal for engineers who want to:

• Stay deeply technical
• Work on real production systems
• Influence product direction
• Build long-term partnerships with world-class engineering teams

Responsibilities

• Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
• Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
• Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
• Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
• Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
• Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
• Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
• Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
• On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

• Proven Engineering Pedigree: 7+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
• Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
• Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
• Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
• AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
• Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
• Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
• High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
• Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.

Nice to Have

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
• Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
• A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

Compensation

Compensation may be adjusted depending on work location.

• For Seattle Area based hires: Estimated annual salary of $185,000 - $254,000

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

About the role

As an Analytics Data Engineering Manager focused on Product, you will build and lead the analytics engineering team responsible for creating the data foundations that enable data-driven decision making across Anthropic’s Product organization.  You will oversee the development of scalable data solutions for Product pillars – including Consumer, Claude Code, Enterprise & Verticals, Growth, Platform Product – managing a team of analytics engineers and working closely with stakeholders across Data Science, Product, and Engineering to ensure teams have access to reliable, accurate metrics that can scale with our company’s growth.

In this role, you will balance hands-on technical leadership with people management, setting the strategic vision for product data foundations while developing and mentoring team members.  You will partner closely with Product Data Scientists, Product Managers, and Product Engineers to understand how users interact with Claude, how to measure product quality and growth, and how to transform raw event logs into insightful data marts that power product decisions.

Responsibilities:

• Build and scale the Product Analytics Engineering team, including hiring and mentoring a team of high-performing analytics engineers embedded with Product pillars

• Define and execute the strategic roadmap for product data foundations and analytics capabilities

• Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions that transform raw product event logs into canonical datasets and insightful data marts

• Partner with Data Science, Product, and Engineering leadership to understand data needs and translate them into technical requirements

• Establish and maintain high data integrity standards, SLAs, alerting, and best practices for the team

• Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics; partner with the Data Science team to build innovative data tools using Claude to scale data-driven decisions across Product teams

• Foster a culture of technical excellence, continuous learning, and data-driven decision making

• Serve as a technical thought leader for data modeling, ETL processes, and product analytics infrastructure

You might be a good fit if you have:

• 5+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment

• 8+ years of total experience in analytics engineering, data engineering, or similar data-focused roles

• Deep expertise in data modeling, ETL pipelines, and data warehouse architecture

• Strong technical foundation with expertise in SQL, Python, dbt, and modern data stack tools

• Proven track record of building and leading high-performing teams

• Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights

• Demonstrated ability to balance strategic thinking with hands-on technical leadership

• Strong communication skills with the ability to translate complex technical concepts for diverse audiences

• Experience scaling analytics functions from early stage to maturity in rapidly changing environments

• Track record of establishing data governance, quality standards, and best practices

• A bias for action and urgency, not letting perfect be the enemy of the effective

• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end

• A passion for Anthropic’s mission of building helpful, honest, and harmless AI

Your Impact

On the Real Time Operations (RTO) Live Streaming team we are building the next generation of live streaming for mission-critical situations. Through Fusus we unify live video, sensor data, and alerts into a single operational view to empower agencies to make faster, better decisions. We design, deploy and manage hardware + software used by first responders and security professionals worldwide. 

As a Senior Software Engineer you will: Build the native foundation for edge video and IoT intelligence across Axon Body cameras and FususCOREs. Own high-performance pipelines from sensor to inference. Shape how SDKs are consumed across mobile and backend surfaces. Define standards for ABI stability and long-term compatibility. Influence architecture decisions at the boundary of hardware, media, and AI.

What You’ll Do

• Location: This role is based out of our Seattle office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.
• Reports to: Senior Software Engineering Manager
• Define the native platform architecture for the next generation of Axon Fusus hardware: this is an opportunity to set the technical direction from vendor and SoC selection through production deployment.
• Set the SDK strategy: define the ABI contracts, versioning guarantees, and FFI boundaries that will outlast any single product generation.
• Design and ship cascade AI pipelines at the edge: chain detection, classification, and analytics models across NPU/GPU/VPU resources to deliver real-time intelligence within the power and thermal constraints of embedded hardware worn + deployed in the field.

What You Bring

• 8+ years of professional software development experience.
• Proven track record of designing and building latency-critical systems that run on embedded and IoT devices.
• Experience designing SDKs with stable ABIs, clear versioning strategies, and cross-language FFI design.
• Familiarity with ARM SoCs (RK3588, Jetson, QCS series) beyond x86 embedded.
• Sets a high technical bar for the team by writing well-tested, maintainable code and leading code and technical design reviews. Leads from the front setting AI coding standards for the team.
• Experience with hardware-accelerated video pipelines a plus.
• Hands-on experience with inference at the edge using NPUs or GPUs — TensorRT, CUDA, ONNX Runtime, or similar a plus.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

ABOUT THIS ROLE 

LVT is at an inflection point. We've proven we can build fast. Now we need to build with precision at scale—and this role is the mechanism for that shift.

As our first Director of Technical Program Management, you will build the TPM function from the ground up and report directly to the CTO. You'll lead a lean team of IC TPMs and serve as the critical bridge between Product, Engineering, Hardware, and AI—translating ambitious roadmaps into disciplined, predictable delivery.

This role is for a builder and operator in equal measure: someone who can design the system, lead the team, and still get into the details when it matters.

This role is based out of our new Seattle co-working space or in our headquarters in American Fork, Utah. 

ROLE RESPONSIBILITIES

• Establish the TPM Function: Design and implement the organizational structure, processes, and delivery frameworks for the TPM team from the ground up.
• Strategic Integration: Act as the primary connective tissue between Product, Engineering, and Hardware Engineering, Internal and External suppliers and Joint-development partners to ensure technical dependencies are identified and managed across the entire Agentic AI and physical unit ecosystem.
• Team Leadership: Hire, mentor, and manage a team of IC Technical Program Managers. Define what "great" looks like and build toward it.
• Roadmap Orchestration: Partner with the CTO, CPO and leaders in Product/Engineering org to define program milestones and ensure resource allocation reflects LVT's highest-priority bets.
• Risk Mitigation: Proactively identify technical bottlenecks and cross-functional risks, implementing mitigation strategies before they impact delivery timelines. Manage the intersection of hardware lead times, software deployment cycles, and AI training schedules—keeping all departments synchronized and unblocked.
• Operational Excellence: Standardize reporting metrics and communication channels to provide executive leadership with real-time visibility into program health and velocity.
• Stakeholder Management: Navigate complex trade-offs between hardware lead times, software deployment cycles, and AI training schedules to keep all departments aligned including contributing to data driven and KPI oriented culture that provides transparency and actional path at all levels.
• Continuous Improvement: Evaluate and evolve LVT’s development lifecycle to increase efficiency and maintain quality as the company scales.

OUR IDEAL CANDIDATE

• Proven Leadership: 12+ years of experience in technical program management, with at least 3-5 years in a leadership role managing other TPMs.
• Hybrid Domain Expertise: Deep experience managing programs that involve both complex software (SaaS/AI) and physical hardware products; you understand the unique rhythms of both.
• Zero-to-One Mindset: You have successfully built or significantly scaled a TPM or PMO function within a fast-growing, high-tech environment.
• Technical Fluency: While you are a process expert, you possess the technical depth to engage in architectural discussions across AI, cloud, and embedded systems.
• Expert Orchestrator: You excel at translating high-level business requirements into detailed technical execution plans that engineering teams can rally behind.
• Resilient Communicator: You are comfortable navigating ambiguity and can effectively communicate complex technical status to both executive stakeholders and individual engineers.
• Data-Driven: You use metrics and tooling to drive accountability and have a proven track record of improving delivery predictability.
• Educational Background: A Bachelor’s degree in Computer Science, Engineering, or a related technical field is preferred; an MBA or PMP is a plus but secondary to proven experience.

COMPENSATION The beginning annual salary range for this role is $200,000.00 - $275,000.00 USD and is determined by location, job-related experience, and education/training. Your total earning potential is amplified by a bonus structure tied to meeting goals, and you will become an owner from day one through our employee equity program.

BENEFITS We believe you do your best work when your whole life is supported. We invest in our crew’s health, families, and financial futures with a benefits package designed to support you inside and outside the office.

LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.

ABOUT THE JOB 

We're seeking a full stack Security Software Engineer to develop novel security tooling for securing our suite of products including and detecting potential cybersecurity issues across embedded Linux systems and Android devices. The ideal candidate can develop across the the full stack - from Linux eBPF programs to cloud backends and everything in between.

WHAT YOU’LL DO 

• Design and develop cybersecurity tools for embedded Linux and Android systems.
• Build and maintain backend services with REST APIs running on cloud platforms.
• Create user-friendly frontends using React and TypeScript.
• Manage cloud infrastructure using Terraform and/or AWS CDK.
• Collaborate with cross-functional teams to identify security needs and implement solutions.
• Conduct code reviews and ensure adherence to security best practices.
• Stay updated on the latest security threats and technologies.

REQUIRED QUALIFICATIONS

• 5+ years of software development experience in some combination of Golang, Rust, Kotlin, and TypeScript.
• Proficiency in implementing application backends, including authorization, observability, REST APIs, and NoSQL data persistence.
• Strong experience with frontend development using React and TypeScript.
• Familiarity with cloud infrastructure management (Terraform and/or AWS CDK).
• Experience in mobile development, specifically on Android platforms.
• Understanding of cybersecurity principles and practices.
• Ability to obtain and hold a U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Experience with embedded systems and Linux.
• Knowledge of security frameworks and compliance standards.
• Experience with Linux observability and eBPF.
• Experience with CI/CD and test automation, including for mobile devices.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

Your Impact

You will manage a high-impact software engineering team that develops embedded software for devices connecting cameras and other peripherals, ensuring critical evidence is captured during mission-essential moments for our customers. This is an opportunity to work alongside talented software and firmware engineers and contribute to the creation of next-generation public safety products, including body-worn cameras, in-car cameras, wireless microphones, and more.

As an Engineering Manager on the Connected Devices team, you'll take on a wide range of responsibilities that will keep each day engaging. These include conducting code reviews, contributing to technical development, overseeing upstream and downstream integrations, managing projects, reviewing and shaping software architecture, ensuring engineering and security excellence, recruiting talent, and managing the team's growth.

In addition to navigating complex engineering trade-offs, your customer empathy enables you to propose innovative solutions to their challenges. You'll collaborate closely with product managers and designers to ensure we deliver the right solutions for our customers.

What You’ll Do

Location: Onsite in Seattle, WA or Boston, MA
Reports To: Senior Engineering Manager
Direct Reports: Roughly 8 to start, with expectations to scale it further in future years

• Lead and grow a high performing team that designs and develops embedded applications and network configurations for Axon's current and future products
• Manage a team, demonstrate empathy, and provide clear career growth for Engineers
• Collaborate and clearly communicate with global teams during all parts of the Product Development Life-Cycle to drive timely new feature and product launches
• Instill a culture within the team of continuous process improvement and adoption of metrics
• Set a high technical bar for the team by leading architecture, design and code reviews
• Collaborate across Product Management, Design, and Engineering teams to create integrated solutions that delight our customers
• Lead a team to build software that adheres to our high bar on quality, stability and latency in this mission-critical space
• Work to identify and integrate latest open source technologies to help meet our product requirements
• Improve our software engineering process, including long-term thinking, sprint planning/retrospective and stand-ups

What You Bring

• Minimum 3 years of experience Leading Teams with Empathy, Objectivity, and a Mentorship mindset
• Minimum 10 years experience primarily with Real-world Embedded Engineering projects that went to market
• Experience implementing Engineering Processes that emphasize Quality, Security, Maintainability, Extensibility and Operational Discipline
• 5+ years experience of professional software development in C/C++, Go, Rust, Python and/or another systems programming language
• 5+ years experience writing unit, integration and/or system level tests
• Networking knowledge (such as TCP/IP, VPN, DNS, DHCP, tunneling to support a diverse array of network configurations) is a plus
• Understanding of Computer Science fundamentals in data structures, algorithms, run-time analysis, object-oriented design and code quality verification
•  

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 150,000 in the lowest geographic market and USD 240,000 in the highest geographic market. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit www.axon.com/careers/benefits.

About the role

We’re hiring a Lead Data Analyst, Growth Science to use advanced science to estimate the incrementality of Marketing, Product, and Lifecycle Marketing and to improve their performance. As a senior individual contributor, you’ll lead high-impact growth initiatives through the use of media mix modeling, experimentation and quasi-experimentation, and predictive modeling.  You will play a role in defining how we estimate incrementality and how we improve performance.

The base salary offered for this role and level of experience will begin at $152,000.00 and up to $210,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Partner with and support vendor developing of our media mix model
• Design, execute, and read out results of complex experiments and quasi-experiments not supported by our A/B testing vendor
• Develop predictive models to improve performance of Marketing, Product, and Lifecycle Marketing initiatives
• Partner with Marketing, Product, and Lifecycle Marketing, to drive business outcomes
• Mentor other analysts in our team on experimentation and statistics.  Improve the team’s technical rigor

To thrive in this role, you have

• A strong orientation toward business impact — you ensure insights lead to measurable business results
• Demonstrated ability to influence senior stakeholders and guide strategic decisions in ambiguous, fast-moving environments
• PhD in statistics, economics, or similar social science with emphasis on quantitative methods
• 5+ years of experience in applied science roles, with deep expertise in predictive modeling and causal inference; Experience in FinTech and in Marketing strongly preferred
• Advanced skills in SQL and Python or R.  Experience in use of AI to accelerate and improve end-to-end process

#LI-Hybrid #LI-AM1

About the role

We are looking for a Software Engineer to help build our new financial platform that is highly reliable, scalable, and will serve as the backbone for Chime. This platform will power the most important financial activities that millions of Chime members undertake every day. You will ensure that we build the highest levels of trust with our members by making our platform lightning-fast, available, secure, resilient and auditable. This is an exciting opportunity to be an invaluable member of a strategically important  initiative for Chime. 

The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Design, develop, test, and deploy components of a new financial platform
• Deliver secure, reliable, and high-performance infrastructure and APIs
• Work with our infrastructure engineering team to minimize the operational overhead of production systems you deploy
• Develop thoroughly tested code and conduct quality assurance on all new code alongside our QA team
• Learn and execute on agile methodologies, follow test driven development approach
• Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.

To thrive in this role, you have

• Must have experience in Go
• Experience in additional backend languages such as Ruby, Java and Python is preferred
• Have 4+ years of engineering experience
• Have contributed to the development of backend systems
• Experience in payment processing systems
• Take a rigorous approach to testing backed development
• Experience with AWS or other cloud platforms, Cloud Native technology, No-SQL Databases as a bonus!
• Have an understanding of architectural patterns of large, mission-critical production services as a bonus!
• Have worked in continuous integration/deployment environments as a bonus!
• Please note: If you are located in Seattle, you will be required to onboard in person at our SF HQ + occasional business travel.

#LI-Onsite #LI-GC1

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.

So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.

Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our soluions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.

The Role

At Square, we’re re-imagining how small and midsize businesses grow. As a Senior Sales Account Executive on our Outbound Team, you’ll bring Square’s ecosystem to new sellers across diverse industries by building, shaping, and closing your own pipeline. You’ll run sophisticated, multi-product deals from the first touch to final close — blending hunter instincts, consultative depth, and strategic execution.

If you’re an experienced closer who thrives in outbound environments, loves solving meaningful business challenges, and consistently delivers against ambitious targets — this is your role.

You Will

• Own the full outbound sales cycle — from prospecting to negotiation to close — with SMB and mid-market merchants.
• Build and manage a high-quality pipeline through cold outreach, social selling, targeted campaigns, and creative outbound strategies.
• Develop multi-product solutions across Square’s ecosystem and tailor them to each merchant’s unique needs.
• Partner with Business Development on lead flow while independently driving net-new logo acquisition.
• Conduct high-impact discovery, demos, and negotiations with decisiveness across multi-stakeholder deals.
• Act as a consultant and trusted advisor — seamlessly flexing across BDR, AE, and AM responsibilities when needed.
• Collaborate cross-functionally with Product, Marketing, Implementation, and Operations to deliver cohesive solutions.
• Maintain disciplined pipeline management and forecasting accuracy in Salesforce.
• Consistently hit and exceed revenue goals — monthly and quarterly.
  
  

You Have

• 3+ years of full-cycle B2B sales experience with consistent quota achievement.
• Proven success in outbound prospecting and net-new business creation (SaaS or fintech preferred).
• Experience closing complex, multi-threaded deals with longer sales cycles.
• Ability to build pipeline from scratch using targeted, strategic outreach.
• Exceptional communication, presentation, and negotiation skills across phone, video, and written channels.
• Strong consultative selling skills — diagnose business challenges and map tailored solutions.
• A hunter’s mindset — resilient, creative, and driven to win.
• Ability to work independently while contributing to a team-first environment.
• Advanced proficiency with Salesforce and modern sales tools.
• BA/BS degree or equivalent experience.

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.

Pay Transparency

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location's zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.

Zone A: ($156,200 - $234,200)

Zone B: ($145,200 - $217,800)

Zone C: ($137,400 - $206,200)

Zone D: ($129,600 - $194,400)

Amounts listed above include target variable compensation.

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.

So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.

Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.

The Role

Square is looking for a tenured Account Executive with a strong new logo sales background and self-starter disposition to join our Outbound Sales Team. This role works with restaurant owners specifically, emphasis on Small/Mid-sized businesses. You will create your own outbound strategy while working with the Business Development team to build a book of business. You will be expected to source leads, cold call and email them to generate interest and close deals selling our Square ecosystem to prospective merchants. This role requires excellent communication skills, diligence, and a strong ability to build rapport with prospects to negotiate and close complex deals.

You Will

• Understand the business and technology needs of a merchant to execute a sales motion using a consultative approach
• Conduct prospecting, discovery calls, demos and develop a solution with first and third party offerings that best meets the prospect's needs
• As needed, go into the field to build strong relationships and increase win rates
• Deliver a predictable, repeatable and scalable outbound sales process to fill your pipeline and close deals (prospecting activities include:, cold calling, cold emailing, social selling, etc.)
• Partner with our Business Development Team to convert and close cold, outbound leads
• Lead the charge introducing Square to all merchants in the restaurant vertical
• Oversee the sales cycle from prospect to close and partner with other teams to ensure successful onboarding
• Achieve and exceed monthly sales goals and key performance indicators (KPIs) through proactive outbound sales efforts
• Partner with Product and Marketing teams to ensure our solutions meet the needs of the market
• Use your prior sales experience to inform a creative go-to-market strategy
• Utilize Salesforce to track, monitor, and report on sales activities, pipeline status, and outcomes

You Have

• • 3+ years of sales experience in a full cycle closing role
  • A BA/BS degree or relevant experience
  • Demonstrated exceeding sales targets, selling a diverse ecosystem of products, and closing complex deals
  • The ability to drive deals independently in a fast-paced, dynamic environment
  • Business development experience (e.g. new logo sourcing and acquisition)
  • A collaborative and team player mentality
  • Prior Salesforce experience or equivalent

Pay Transparency

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location's zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.

Zone A: ($156,200 - $234,200)

Zone B: ($145,200 - $217,800)

Zone C: ($137,400 - $206,200)

Zone D: ($129,600 - $194,400)

Amounts listed above include target variable compensation.

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page.

Team Overview

The Platform Security Engineering (PSE) team builds security into Anduril's products from architecture through production. We work directly with business lines to design and implement security solutions tailored to their systems — then promote proven patterns into shared, composable platform services that the entire organization can use. Our mission is threefold: build security solutions for business lines, promote those solutions into the platform, and enable teams to build and operate securely on their own. The scope includes cryptographic protocol design, hardware root-of-trust architectures, secure communication for autonomous and robotic systems, operating system hardening, and distributed security infrastructure across embedded, edge, and cloud environments.

Job Description

We're looking for a principal-level engineer to serve as a technical leader for platform security across Anduril. This role combines deep expertise in cryptography, systems security, and secure architecture with the ability to drive security strategy across business lines and the platform. You'll own the design of Anduril's most critical security systems — cryptographic infrastructure for autonomous platforms, hardware root-of-trust architectures for robotic systems, secure communication protocols for contested environments — and you'll set the technical direction that shapes how security is built into every product. This is a role for someone who has designed and shipped security systems at the intersection of hardware, firmware, and software, and can lead others through complex technical decisions with lasting consequences.

Key Responsibilities

• Own the technical vision and architecture for platform security across Anduril's product ecosystem
• Design cryptographic systems, protocols, and key management architectures for autonomous and robotic platforms operating in contested and disconnected environments
• Lead the design of hardware root-of-trust architectures integrating TPMs, TEEs, HSMs, and secure boot across diverse embedded platforms
• Drive the strategy for promoting business-line security implementations into shared, composable platform services
• Serve as the senior technical authority for security architecture reviews across the organization, providing definitive guidance on cryptographic design, protocol security, and system hardening
• Define security patterns, reference architectures, and engineering standards that enable teams across Anduril to build securely and independently
• Mentor and develop senior engineers on the team, raising the bar for security engineering across the organization
• Represent Anduril's security engineering capabilities to customers, partners, and auditors when deep technical credibility is required
• Evaluate emerging threats, cryptographic standards, and security technologies, driving adoption where they strengthen the platform

Required Qualifications

• 12+ years of experience in software engineering, with significant depth in systems security and cryptography
• Expert-level knowledge of cryptographic protocol design, including key management architectures, certificate systems, and cryptographic agility
• Deep experience with hardware security: TPM, TEE, HSM, secure boot, and hardware root-of-trust design across multiple platform types
• Proficient in two or more of: C++, Rust, Go
• Experience designing security architectures for embedded, real-time, or robotic systems with constrained environments
• Track record of leading cross-organizational technical initiatives and driving architectural decisions that span multiple teams
• Strong ability to communicate complex security concepts to engineering leadership, product teams, and external stakeholders
• Experience performing and leading threat modeling, security architecture reviews, and cryptographic design reviews
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

• Experience with post-quantum cryptography, distributed key generation (DKG), or threshold cryptographic schemes
• Background in defense, aerospace, or autonomous systems with exposure to FIPS 140, Common Criteria, or NSA CSfC requirements
• Experience designing secure communication protocols for autonomous platforms or mesh networks
• Deep knowledge of Linux kernel security, mandatory access controls (SELinux/AppArmor), and OS hardening at scale
• Experience building and evolving platform security services consumed by dozens of teams
• Familiarity with compliance frameworks (STIGs, NIST 800-53, CMMC) and translating them into engineering controls that don't compromise developer velocity
• Publications, patents, or recognized contributions in cryptography or systems security
• Experience with Nix build systems and reproducible build pipelines for security-critical software

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

About the Warfighter Systems Team:

The Warfighter Systems team is at the forefront of developing groundbreaking augmented reality wearable technology, specifically building our EagleEye product; a helmet and glasses system designed to keep soldiers alive during combat situations. Our mission is to create a product that is not just worn, but an integrated extension of the user, operating with the precision and responsiveness a soldier needs. We are deeply focused on minimizing system latency, ensuring every interaction is instantaneous and reliable. Join us on the bleeding edge of intelligent, efficient, and resilient AR wearable devices, and help our service members succeed in any situation!

Responsibilities:

As a Staff Systems Engineer on the EagleEye team, you will play a pivotal role in shaping the performance and power characteristics of our cutting-edge AR wearable products. Your day-to-day will span from architectural definition through to execution, requiring a hybrid skillset bridging hardware and software. Your key responsibilities will include:

• Lead the evaluation and selection of next-generation silicon architectures by collaborating closely with Independent Hardware Vendors (IHVs), providing critical technical feedback on their silicon designs.
• Partner with Platform Software Engineers to drive system-level optimizations for power, performance, and latency across the entire product stack.
• Conduct in-depth analysis and optimization of battery life and thermal design power tradeoffs to deliver a comfortable, long-lasting, and high-performing wearable experience.
• Drive continuous improvement initiatives for system power efficiency and performance from initial concept through to final product deployment.
• Perform deep-dive root cause analysis for complex system performance and power issues, identifying solutions, and independently prioritizing efforts based on customer needs and engineering risk.
• Develop and implement rigorous profiling methodologies to identify bottlenecks and areas for optimization at various system levels.
• Collaborate cross-functionally with hardware, software, product, and other engineering teams to integrate solutions and ensure holistic system success.
• Contribute to defining architectural requirements and specifications, translating product vision into technical execution.

Required Experiences:

• 10+ years of experience in system-level power and performance engineering, with a strong focus on System-on-Chip (SoC) architectures.
• Deep understanding of silicon chip architectures, including CPU, GPU, DSP, and memory subsystems, and how they interact to impact overall system performance and power.
• Proven expertise in SoC performance tuning, optimization techniques, and power management strategies.
• Proficiency with industry-standard system profiling tools and methodologies, especially within Android operating environments and on Qualcomm chipsets.
• Strong command of lower-level software, including kernel and driver analysis, and a solid understanding of operating system concepts.
• Demonstrated ability to effectively bridge hardware and software engineering disciplines, understanding implications across the stack.
• Experience finding and solving complex engineering problems independently, while effectively balancing customer needs with technical risks.
• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience.
• Eligibility to receive and maintain a United States security clearance.

Nice-to-Have Experiences:

• Experience with Microcontrollers (MCUs) or sensor aggregation architectures, including Digital Signal Processors (DSPs).
• Familiarity with various sensor types and their integration into low-power, high-performance embedded systems.
• Prior experience working with Augmented Reality wearable devices or other ultra-low-power consumer electronics.

About the role

Why this role is exciting

Why you'll love it here:

• 💰 Competitive Compensation. For this role our salary is targeted at $105-$140k USD per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. 
• 🏆  Syndio Equity. So you can share in Syndio’s success.
• 🏝  Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave. 
• 🩺  Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
• 🏥  Life Insurance & Disability. Syndio covers the full premium.
• 🏦 401(k). To help you save for your future
• 📍 Remote-first in the following approved U.S. states: AZ, CA, CO, CT, DC, FL, GA, ID, IL, IA, MD, MA, MN, NE, NJ, NY, OH, OR, PA, RI, SC, SD, TX, UT, VT, VA, WA, and WI #LI-Remote

Role Progression:

In the 1st Month:

• Complete onboarding on the Syndio platform and the "Decision Intelligence" vision.
• Master the new Integration Platform and current data loading artifacts.
• Shadow 2-3 strategic client implementations and identify potential automation opportunities.
• Contribute to a pilot migration of an existing client’s data into the new platform.

At 3 Months:

• Independently lead technical implementations for new clients.
• Execute data migrations for a segment of the existing client base into the new Integration platform.
• Build reusable "Implementation Artifacts" (scripts, prompts, templates) that reduce time-to-value for the whole team.
• Contribute to the design of our new Platform’s Implementation process, identifying automation and other artifacts to minimize the client’s time to value.

By 6 Months:

• Manage a portfolio of high-complexity implementations for Syndio’s most strategic accounts utilizing automation and other artifacts to maximize client’s value in minimum time.
• Help achieve the goal of migrating 70% of the client base to the new Integration platform solution.
• Serve as a subject matter expert for "Process Embedding," ensuring clients are fully adopting the platform’s advanced setup features.

The interview overview

Below you'll find an outline of the interview plan for our Forward Deployed Engineer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

1. 30 min phone call with a member of our Talent Team.
2. 45-60 min Zoom deep dive with the Hiring Manager (Director of Forward Deployed Engineering).
3. 75 min hands-on technical interview with a Senior Engineer.
4. 2-3 video interviews with key members of the Customer Success and Product teams.
5. 30 min interview with the SVP of Engineering - Data Strategy.

As a Electrical Engineer, Edge Compute at Carbon Robotics be a key part of the team that designs and manages the distributed computing infrastructure that is the heart of our robots. You are responsible for the specification, design, vendor management, integration, and thermal/electrical management of the compute and network clusters. You’ll ensure our mobile platforms can survive the harsh vibrations, dust, and heat of the farm while maintaining peak processing performance. You’ll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products.

What you’ll do:

• Work in a fast-paced, multi-disciplinary team to design revolutionary products
• Own the specification, design/selection, qualification and integration of high-performance compute and network modules.
• Lead testing of compute and networking hardware through environmental, power quality, and EMI/EMC qualification campaigns. 
• Interface with hardware vendors to source components, define assembly work instructions, and ensure quality of compute assemblies.  
• Quickly prototype, troubleshoot, and iterate solutions for electrical signaling issues, PCIe/USB/Ethernet bottlenecks, and hardware-level failures in the field

Knowledge, Skills, and Abilities for Success:

• 5+ years experience as an Electrical Engineer 
• Experience designing production embedded hardware, with at least one full carrier board or SoM-based design taken to volume manufacturing
• Experience with PCIe Gen3/4, MIPI CSI-2, USB 3.x, and DDR4/LPDDR5 design and testing
• Significant experience designing compute systems for harsh outdoor environments with intermittent connectivity
• Experience with Altium Designer
• Experience with low-level Linux systems, including driver configuration, device trees, and board support packages (BSP) is a plus
• Experience with SolidWorks is a plus

• Experience with Jira is a plus
• Hands on experience in hardware debug and automated verification
• Demonstrated ability to work with a team to achieve timely objectives
• Awareness of industry standards and regulations (SAE, ISO, IPC, etc.)
• Effective verbal and written communication skills and a desire to work in multidisciplinary teams
• BS+ in Electrical Engineering, Mechanical Engineering or related field

JOB SUMMARY 

Code.org is seeking a Professional Learning Product Manager to lead the work of our Professional Learning team. In this role you will identify, define, and ship CS and AI professional learning products for K-12 teachers, leading and managing a team of content developers and collaborating cross-functionally. Code.org’s professional learning offerings, including self-paced PL modules, facilitator-led workshops, and supports embedded in our platform, serve thousands of teachers across the U.S. and around the globe each year. The product manager will build on the strengths of our current PL offerings while innovating new ways to support the teachers using our curriculum, particularly given the affordances of AI. 

The ideal candidate will be a strong product manager with experience supporting educators in the ed tech space, technical understanding of CS and AI concepts, and deep knowledge of designing effective and engaging learning experiences for adults. Experience integrating AI into adult learning supports is highly valued.

DUTIES AND RESPONSIBILITIES

In this role you will:

• With the support of the Director of Teaching and Learning, develop the strategy for Code.org’s professional learning products. Define compelling, right-sized products to achieve that strategy and work towards organizational goals.
• Manage the team of Code.org professional learning content developers, mentoring them and supporting their growth. Create an inclusive, welcoming, and productive team culture and work environment.
• Lead the team of PL content developers in building and launching products. Manage projects, creating roadmaps and milestones and allocating resources. Standardize workflows, development processes, and pedagogical approaches.
• Set goals and metrics, develop evaluation plans, collect, analyze, and act on data from a variety of sources (pilots, surveys, focus groups, observations). Quantitatively and qualitatively monitor product adoption, usage, retention, and satisfaction and use this data to inform product strategy, features, and improvement.
• Review and provide feedback on PL products in development and manage an external review process using subject matter experts and teacher reviewers.
• Develop effective partnerships and working relationships within and outside of the organization. Collaborate with colleagues in software product management, design, engineering, marketing, data, and others. Communicate effectively with stakeholders, to leadership, and with development teams.
• Maintain a deep understanding of what educators need in order to successfully implement CS and AI curricula. Understand teacher needs and realities, and the ways that reality is changing with the advent of AI.
• Actively represent Code.org values. Contribute to the Product and Engineering team and Code.org practices, rituals, and culture.

EXPERIENCE & QUALIFICATIONS

We seek candidates who have:

• 4+ years of experience designing and developing professional learning experiences and/or products (ideally CS and AI-focused), including for use at scale. Ideal candidates will have experience as a product manager in the ed tech/curriculum provider space as well as professional learning development experience. 
• 2+ years of experience as a people manager, or equivalent experience acting as a regular mentor to members of a team or managing contractors.
• Knowledge of CS and AI concepts relevant to the CSTA standards and the AI Literacy Framework. Proficient in at least one text-based programming language (e.g. Python or JavaScript). 
• Deep and up-to-date understanding of adult learning principles, ideally with an understanding of best practices in online environments
• Experience using product, market, and customer data to make product decisions.
• Strong project manager with experience leading, managing, and prioritizing multiple complex projects with multiple components and timelines, ideally with experience using project management tools.
• Deep understanding of best practices to support equitable classroom environments, and experience with student-centered pedagogy.
• Strong communication and collaboration skills.
• The ability to thrive and maintain flexibility in a fast-paced environment.
• Experience building and maintaining cross-functional and cross-org relationships.
• Demonstrated growth mindset and ability to drive clarity through ambiguity.
• Demonstrated ability to operate with significant independence and sound judgment in ambiguous or fast-changing environments
• A bias for action - comfortable starting, iterating, and learning rather than waiting for perfect information
• Intellectual curiosity about emerging trends in education, technology, and AI, with a track record of proactively staying ahead rather than waiting for direction
• Comfort with risk-taking and a healthy relationship with failure as part of the learning process
• Passion for CS and AI education and the Code.org mission.

In addition, candidates must:

• Be a U.S. Citizen or Permanent Resident
• Work within the continental United States
• Pass a pre-employment background check
• Be willing to travel a minimum of two times per year for team events 
  

WHO WE ARE LOOKING FOR

• Builder’s mindset. We’re looking for adaptable, result-driven team members who thrive in dynamic environments and can navigate shifting priorities with ease. In this role, you’ll embrace change, pivot strategies as needed, and drive impactful solutions that align with evolving business needs. If you excel in fast-paced settings and enjoy turning challenges into opportunities, we’d love to have you on our team!
• We are hard on problems and kind to each other. We stay focused on the challenge of bringing computer science to students and teachers globally. We recognize that each of us brings the best of our intentions to support our mission and give grace when we make mistakes.
• A growth mindset fuels us. We approach each challenge with curiosity. We give feedback kindly and candidly; we receive feedback openly. We learn from our mistakes and look for ways to increase the reach and impact of our work.
• Player-coach Managers. We seek hands-on managers with player-coach mindsets who can strategize, execute, mentor, and contribute. As a manager, you balance leadership with direct involvement, guiding your team while rolling up your sleeves to drive results.

OUR APPROACH TO AI IN HIRING

At Code.org, we use AI thoughtfully and responsibly to support human-centered hiring. AI may help with administrative tasks, but every hiring decision is made by real people on our team. We welcome candidates to use AI appropriately in their job search while upholding our values of honesty and integrity throughout the process.

Read our full AI Use Policy in Hiring here.

WHAT IS THE INTERVIEW PROCESS LIKE?

Step 1: Informational Interview - learn more about the role and share your experience (45 minutes)
Step 2: Take-Home Assignment (~3 hours)
Step 3: Interviews with several members of the Code.org team (~4 hours)
Step 4: Final Interviews (1.5 hours)
Step 5: Reference Checks 

All interviews are currently being conducted virtually via Zoom

TO APPLY

Our team will review all applications on an ongoing basis and if we believe your qualifications would make a great fit, we'll contact you to schedule an informational interview.

COMPENSATION & BENEFITS PACKAGE

The expected salary range for this position is $117,000 - $130,000. Most offers are on the lower end of the salary range and are at the company’s sole discretion based on the final candidate’s experience. This allows us to provide a fair and equitable approach to compensation when setting pay and maintaining internal pay equity.

ABOUT THE TEAM

Anduril’s Tactical Recon & Strike (TRS) is a division with two missions: 1) build highly capable autonomous drones, and 2) build solid rocket motors at scale. We transform products like Ghost, Anvil, Bolt, and Altius from early concepts into fully operational capabilities by partnering closely with specialist engineering, operations, and production teams. Through our Anduril Rocket Motor Systems (RMS) team, we design and manufacture solid rocket motors using advanced materials, proprietary formulations, and high-volume production methods—delivering safe, reliable propulsion systems that support a wide range of mission requirements. TRS hires software engineers & hardware engineers, who are excited to build across a diverse and powerful portfolio—from autonomous aerial systems to high-performance solid rocket motors. Our teams contribute to highly capable autonomous robotics systems and propulsion products that operate reliably in the most demanding mission environment.

ABOUT THE JOB

RAIL has two primary customers:

• Mission Autonomy (MA) — Mission Autonomy at Anduril is responsible for coordinating mission-level behaviors by manipulating hardware. For example, “fly to these waypoints,” “enter radio silence mode,” or “arm munitions.”
• Robotics Business Lines — These teams own specific Anduril robots end-to-end, as well as individual pieces of hardware on those robots.

RAIL bridges the gap between Mission Autonomy and diverse sets of hardware by creating common hardware interfaces. To allow Anduril to effortlessly integrate with new hardware. RAIL enables Anduril to scale and deploy ambitious new robot designs on short timelines by leveraging learnings and investments from our existing portfolio of diverse hardware and products.

For example, Anduril procures autopilots from a multitude of different hardware vendors. Each autopilot has a subtly different hardware interface — some use MAVLINK, some use STANAG, others use bespoke vendor-specific serial interfaces. Despite having different interfaces, they all provide standard functionality that flies along a set of waypoints.

As an author of advanced mission behavior, I shouldn’t care whether my autopilot speaks MAVLINK or STANAG — I just want my vehicle to get flying. RAIL abstracts away these subtle hardware differences from Mission Autonomy by providing a shared, common interface as a layer between Mission Autonomy and low-level hardware integrations. RAIL also provides other valuable features such as hardware custody management and access-control semantics, shared-memory IPC approaches and flexible observability plugins, to name a few.

RAIL is uniquely situated within Anduril. As the layer between Mission Autonomy and low-level-hardware at Anduril, you will find yourself developing a broad set of expertise working with nearly every robotics team at Anduril. To date, we’ve flown all across our US offices and test sites to launch new initiatives with Ghost, Altius, Dive, and Fury. Come help RAIL build the future of robot autonomy at Anduril!

WHAT YOU'LL DO

• Own major feature development and rollout of large features for our products — RAIL works with nearly every robotics team at Anduril — humility, empathy, and strong collaboration skills are key to success on the RAIL team!
• Write and maintain core systems that all robotics platforms at Anduril will use.
• Work closely with our vehicle software teams during product development, understanding their needs, and delivering high leverage software they are able to use bring their product to market.

REQUIRED QUALIFICATIONS

• 4+ years of C++ or Rust experience in a Linux development environment — you will be expected to learn Rust on the job, but prior Rust experience is not required
• BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field
• Proven understanding of data structures, algorithms, concurrency, and code optimization
• Experience troubleshooting and analyzing remotely deployed software systems
• Experience working with and testing electrical and mechanical systems
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience programming for embedded and physical devices
• Eligible to obtain and hold a US DoD Security Clearance
• Python and/or Go experience
• Multi-agent coordination of UAVs

Who we are

About Bridge

Bridge is Stripe’s fintech innovation hub focused on building a modern, stablecoin-powered cross-border payments network. We operate like a startup within Stripe: fast-paced, entrepreneurial, and product-obsessed, but with the backing of one of the most trusted names in fintech.

We’re hiring a Security Engineer to build and scale Bridge’s security foundation. This is a rare opportunity to design a security program from the ground up, while also leveraging the infrastructure, best practices, and tooling of one of the most mature security organizations in the industry.

What you’ll do

Responsibilities

• Design, and implement Bridge’s security roadmap from first principles to production.
• Identify and tackle Bridge’s most important security risks quickly and pragmatically.
• Integrate with Stripe’s infrastructure where it makes sense, and find custom solutions where it doesn’t.
• Lead threat modeling and hardening efforts for Bridge’s money movement systems in collaboration with crypto and infra teams.
• Build key security capabilities (monitoring, secrets management, incident response, access controls, CI/CD hardening, etc).
• Reinforce engineering best practices around secure development and infrastructure.
• Ensure Bridge meets compliance and audit expectations as we scale to more regulated markets.
• Collaborate cross-functionally with engineering, product, and Stripe’s security org to move fast without compromising safety.

About you

You might be a good fit if you:

• Have 8+ years of experience in Security engineering, ideally with time spent in fast-paced startup environments where you’ve built security practices from the ground up.
• Have a startup mindset: you’re scrappy, pragmatic, and move quickly to solve the most critical problems.
• Are comfortable writing and debugging backend application code (Ruby is a plus, but not required).
• Thrive in ambiguity and know how to ruthlessly prioritize.
• Can balance security rigor with speed, especially in fast-moving environments.
• Communicate clearly across technical and non-technical partners.
• Have experience building or scaling security programs, either at a startup or in an embedded role.
• Are excited about the potential of crypto and stablecoins to power global financial infrastructure (you don’t need deep prior knowledge—just curiosity and openness to learn).

The Opportunity:

• Be the connective tissue across the organization to keep engineering, product, leadership, and stakeholders aligned on priorities, schedule, risks, and progress.
• Own and drive cross-team initiatives from conception to completion.
• Create and manage cross-team roadmaps, schedule, risks, and issues.
• Own security, privacy, compliance, and operational excellence initiatives.
• Establish scalable, repeatable, and efficient processes and schedules.
• Be a force multiplier by continually improving engineering, product, and operational efficiency across the organization.
• Help grow the TPM function.

Who We’re Looking For:

• You love working on technical initiatives to build and manage Ad Tech products for ECommerce 
• You don’t just work with engineering, you’re embedded into the team, shepherding their programs end-to-end.

How Do I Know if the Role is Right For Me?

• Experience working with senior leadership, including C-level leaders.
• Excellent oral and written communication skills
• Ability to effectively collaborate and drive consensus with all levels and teams across the company.
• Integral contributor to the development and operational readiness of large scale cloud products.
• Experience managing projects, risks, and dependencies with Product, Engineering, GTM, and cross-functional teams.
• Experience building scalable, sustainable processes and coordinating release schedules across multiple organizations.
• Experience in agile software development methodologies including deploying best practices and SDLC processes.
• 5+ years of technical program management or engineering management experience.
• 7+ years of experience working directly with software, cloud, or data engineering teams.
• Bachelor's degree in computer science, engineering or a related technical discipline.

Preferred Experience:

• Prior experience in ECommerce and Adtech
• Passionate for learning about technologies and products

The Opportunity:

• Be the connective tissue across the organization to keep engineering, product, leadership, and stakeholders aligned on priorities, schedule, risks, and progress.
• Own and drive cross-team initiatives from conception to completion.
• Create and manage cross-team roadmaps, schedule, risks, and issues.
• Own security, privacy, compliance, and operational excellence initiatives.
• Establish scalable, repeatable, and efficient processes and schedules.
• Be a force multiplier by continually improving engineering, product, and operational efficiency across the organization.
• Help grow the TPM function.

Who We’re Looking For:

• You love working on technical initiatives to build and manage large cloud infrastructure.
• You don’t just work with engineering, you’re embedded into the team, shepherding their programs end-to-end.
• You have worked with big cloud players like GCP, AWS, OCI, Azure, etc.

How Do I Know if the Role is Right For Me?

• Experience working with senior leadership, including C-level leaders.
• Excellent oral and written communication skills
• Ability to effectively collaborate and drive consensus with all levels and teams across the company.
• Integral contributor to the development and operational readiness of large scale cloud products.
• Experience managing projects, risks, and dependencies with Product, Engineering, GTM, and cross-functional teams.
• Experience building scalable, sustainable processes and coordinating release schedules across multiple organizations.
• Experience in agile software development methodologies including deploying best practices and SDLC processes.
• 5+ years of technical program management or engineering management experience.
• 7+ years of experience working directly with software, cloud, or data engineering teams.
• Bachelor's degree in computer science, engineering or a related technical discipline.

Preferred Experience:

• Prior experience in ML Infra and Adtech
• Experience with Multi Cloud infrastructure 
• Passionate for learning about technologies and products

ABOUT THE JOB

We are hiring a Senior Software Engineer to design, improve, and maintain the core package set which supports software distribution throughout Anduril. This involves creating internal tooling, establishing standards, planning architectural changes, and supporting users of the package set. You are expected to provide expertise for the usage of Nix at a large scale and assist in training other engineers. You should be capable of operating autonomously with limited oversight in a complex environment, and have the ability to break down intricate problems into simple solutions.

WHAT YOU'LL DO

• Maintain an internal package set in order to enable software distribution across the company for development, hosted services, and embedded devices
• Package open-source and proprietary software components using Nix
• Improve developer ergonomics by defining Nix usage standards, creating tooling support, and integrating with developer workflows
• Provide assistance, training, and mentorship to other team members

REQUIRED QUALIFICATIONS

• Proficiency with Nix, Nixpkgs, NixOS, and functional programming generally
• Deep understanding of how build systems and packaging ecosystems work
• Ability to dive into large and complicated systems, and use Nix to improve them
• Experience with one or more of the following languages: Rust, C++, Go, Python, Haskell
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with managing cloud computing resources (eg: AWS)
• Experience with modern build and deployment tooling, and continuous integration (e.g. NixOS, Terraform)
• Experience designing complex software systems, and iterating upon designs via a technical design review process
• Familiarity with industry standard monitoring, logging, and data management tools and best practices
• A bias towards rapid delivery and iteration

ABOUT THE TEAM

The Maritime Application Team sits at the tip of the spear, transforming core platform technology into mission-winning capabilities that deliver a decisive operational edge at sea. We are a specialized software team embedded within the core Lattice Platform, uniquely positioned to accelerate the delivery of mission-critical capabilities for maritime platforms such as the Dive-LD, Dive-XL, Copperhead, and Seabed Sentry. Our role is to take powerful platform primitives—like data management, mission autonomy, simulation, auth, and orchestration—and rapidly forge them into integrated, robust applications for autonomous maritime systems. We act as an incubator for future platform features, ensuring that the solutions we build for today's contracts are the foundation for tomorrow's platform-wide advancements. If you are passionate about building high-impact software that directly supports operators in the field while shaping a next-generation platform, this is your team.

ABOUT THE JOB

As a Software Engineer on the Maritime Application Team, you will be the architect and builder of the software that our maritime operators use every day. You will design and implement the user interfaces, microservices, and data integrations that transform our autonomous underwater vehicles from powerful hardware into intelligent, mission-capable assets. This role requires a product-minded engineer who can operate with ambiguous requirements and translate complex operational needs into elegant, reliable, and scalable software solutions, bridging the gap between core platform infrastructure and real-world maritime challenges.

WHAT YOU'LL DO

• Design, develop, and deploy full-stack applications and services for maritime command and control, including our Lattice UI.
• Build robust, scalable back-end services (e.g., in Go, Rust, Python, C++) to manage mission planning, vehicle tasking, and real-time data processing.
• Develop intuitive and performant front-end interfaces (e.g., in React/TypeScript) that provide operators with at-a-glance situational awareness.
• Integrate specialized maritime data sources, such as electronic navigational charts (ENCs), bathymetry, and acoustic sensor data, by leveraging and extending core platform primitives.
• Collaborate closely with product managers, operators, and others cross functionally in the Software Platform and the Maritime Division to rapidly iterate on features and deliver tangible value.
• Champion best practices in software architecture, code quality, and testing to ensure our systems are reliable in challenging operational environments.
• Mentor other engineers on the team and contribute to the technical strategy for the maritime domain.

REQUIRED QUALIFICATIONS

• 3-5+ years of professional software development experience, with a proven track record of shipping complex, full-stack applications.
• Strong proficiency in one or more modern programming languages such as Go, Rust, Python, or C++, and a willingness to learn new ones.
• Experience building user-facing applications with modern web technologies (e.g., React, TypeScript, gRPC).
• A deep understanding of distributed systems, API design, and data modeling principles.
• Ability to architect solutions for scale, performance, and reliability.
• A bias towards rapid delivery and iteration, extreme ownership, and strong opinions with low ego.
• Must be a U.S. Citizen and eligible to obtain and maintain a U.S. Government clearance.

PREFERRED QUALIFICATIONS

• Experience with Go and/or Rust in a production environment.
• Experience building software for robotics, autonomous systems, or geospatial applications.
• Familiarity with cloud-native technologies (e.g., Kubernetes, Docker) and infrastructure-as-code (e.g., Terraform).
• Experience working with real-time data streams, such as sensor data or vehicle telemetry.
• A passion for creating exceptional user experiences and a keen eye for product design.

ABOUT THE TEAM

Anduril’s Tactical Recon & Strike (TRS) is a division with two missions: 1) build highly capable autonomous drones, and 2) build solid rocket motors at scale. We transform products like Ghost, Anvil, Bolt, and Altius from early concepts into fully operational capabilities by partnering closely with specialist engineering, operations, and production teams. Through our Anduril Rocket Motor Systems (RMS) team, we design and manufacture solid rocket motors using advanced materials, proprietary formulations, and high-volume production methods—delivering safe, reliable propulsion systems that support a wide range of mission requirements. TRS hires software engineers & hardware engineers, who are excited to build across a diverse and powerful portfolio—from autonomous aerial systems to high-performance solid rocket motors. Our teams contribute to highly capable autonomous robotics systems and propulsion products that operate reliably in the most demanding mission environment.

ABOUT THE JOB

As a Robotics Software Engineer on our TRS team, you'll be at the forefront of cutting-edge autonomous systems development. You'll tackle diverse challenges in autonomy, systems integration, robotics, and networking, making critical engineering decisions that directly impact mission success. Your role will be pivotal in ensuring Anduril's products work seamlessly together to achieve a variety of crucial outcomes. You'll develop innovative solutions for complex robotics problems, balance pragmatic engineering trade-offs with mission-critical requirements, and collaborate across teams to integrate software with hardware systems. Contributing to the entire product lifecycle, from concept to deployment, you'll rapidly prototype and iterate on software solutions. We're looking for someone who thrives in a fast-paced environment and isn't afraid to tackle ambiguous problems. Your "Whatever It Takes" mindset will be key in executing tasks efficiently, scalably, and pragmatically, always keeping the mission at the forefront of your work. This role offers the opportunity to make a significant impact on next-generation defense technology, working with state-of-the-art robotics and autonomous systems. You'll be part of a team that values innovation, quick iteration, and delivering high-quality solutions that meet real-world needs.

Must be eligible to obtain and maintain an active U.S. Secret security clearance. 

WHAT YOU'LL DO

• Develop and maintain core robotics libraries, including frame transformations, targeting, and guidance systems, that will be utilized across all Anduril robotics platforms
• Lead the development and implementation of major features for our products, such as designing and building Software-in-the-Loop simulators for advanced systems like Altius
• Optimize performance of existing products, primarily focused on our Altius Drone product line
• Collaborate closely with hardware and manufacturing teams throughout the product development lifecycle, providing timely feedback to influence and enhance final hardware designs
• Troubleshoot and resolve complex issues in deployed systems, ensuring optimal performance in the field
• Contribute to the design and implementation of multi-agent coordination systems for UAVs
• Participate in the full software development lifecycle, from concept and design through testing and deployment
• Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes

REQUIRED QUALIFICATIONS

• Bachelor's degree in Robotics, Computer Science, or related field
• 3+ years of professional software development experience
• Strong proficiency in C++ or Rust, with experience in Linux development environments
• Demonstrated expertise in data structures, algorithms, concurrency, and code optimization
• Proven experience troubleshooting and analyzing remotely deployed software systems
• Hands-on experience working with and testing electrical and mechanical systems
• Ability to collaborate effectively with cross-functional teams, including hardware and manufacturing
• Strong problem-solving skills and a "Whatever It Takes" mindset
• Excellent communication skills, both written and verbal
• Eligible to obtain and maintain an active U.S. Secret security clearance
• Willingness to relocate to Seattle, WA

PREFERRED QUALIFICATIONS

• Master's or Ph.D. in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering)
• Expertise in one or more advanced robotics areas: motion planning, perception, localization, mapping, or controls
• Experience with performance optimization and metrics for complex robotic systems
• Proficiency in Python, Rust, and/or Go, in addition to C++
• Hands-on experience programming for embedded systems and physical devices
• Background in multi-agent coordination, particularly with UAVs
• Demonstrated ability to solve complex frame transformation problems (e.g., target localization, multi-degree-of-freedom robotic arms)
• Experience with real-time operating systems and distributed computing
• Familiarity with machine learning and AI applications in robotics
• Knowledge of sensor fusion techniques and implementation
• Understanding of aerodynamics and flight dynamics as applied to UAV systems
• Experience with simulation environments for robotics testing and development
• Track record of contributions to open-source robotics projects or relevant publications

ABOUT THE JOB

The Emerging Talent Manager, Hardware owns Anduril’s early-career hiring engine for the hardware teams. This leader is responsible for managing a team of University and Early-Career Recruiters who deliver interns, new graduates, and entry-level hires across engineering, manufacturing, and business functions.

This is a people-leadership and delivery role — this role will not just recruit but will build and run the recruiting organization that hires the Emerging Talent hires for Hardware.

WHAT YOU’LL DO

• Lead, coach, and scale a team of University and Emerging Talent Recruiters.
• Own hiring outcomes for interns, new graduates, and early-career roles across multiple business units.
• Partner with Engineering, Operations, and Business leaders to forecast hiring needs and align campus strategy to workforce plans.
• Set clear recruiting priorities, operating rhythms, and performance expectations for the team.
• Ensure recruiters are embedded with the business and deeply understand the teams they support.
• Drive pipeline strategy across universities, referrals, and early-career sourcing channels.
• Use data (conversion, yield, time-to-fill, school ROI) to manage performance and optimize strategy.
• Partner closely with Emerging Talent Program Managers to ensure seamless candidate experience from offer through conversion.
• Recruiters operate as trusted partners to their business units.
• Intern and new-grad hiring is predictable, on time, and high quality.
• Conversion and retention rates improve year over year.
• University investments produce measurable hiring ROI.
• Your team runs with discipline, clarity, and accountability.

REQUIRED QUALIFICATIONS

• 8+ years of recruiting experience, including early-career and technical hiring.
• Experience managing and developing high-performing recruiting teams.
• Strong business partnership and stakeholder management skills.
• Ability to operate in fast-moving, ambiguous environments.
• Data-driven approach to recruiting strategy and performance.

Anduril’s Tactical Reconnaissance and Strike Division (TRS) is responsible for design and development of Anduril’s fleet of small warfighting and surveillance drones deployed around the world, including Ghost, Anvil, Altius, and Bolt. The guidance, navigation, and control (GNC) team within TRS performs implementation, analysis, test, and validation, modeling & simulation, for GNC software solutions supporting our autonomous drone fleet. Applications include attitude and position control, waypoint and terminal guidance engagements, and navigating contested environments including communication and GPS denied environments. This role will be responsible for building and maintaining the high fidelity 6 Degree of Freedom simulation software utilized with TRS GNC for GNC algorithm development, test, and validation.

ABOUT THE JOB

We are looking for a Modeling & Simulation engineer to join our team. As part of the team, you will have the opportunity to develop, implement and maintain a sufficient fidelity simulations and digital twins of the myriad of different vehicles that Anduril works on. The ideal candidate has experience working on aerospace systems and understands the right fidelity of sub-system and system level modeling required to integrate with the broader flight control and mission autonomy software. The role requires the individual to be proficient in vehicle/sub-system modeling and well-versed in coding practices and software integration practices. If you have a passion for flight and like the idea of building a physics based digital representation of a flying vehicle this is the role for you!

• What You’ll Do

• Develop simulation solutions for 6DOF and Guidance, Navigation and Control algorithm development
• Develop and maintain Software-In-The-Loop (SITL) and Hardware-In-The-Loop (HITL) tests.
• Work closely with the flight software team to define requirements and integrate GNC software
• Characterization work (aero, optics, actuators, IMUs, etc) for both fixed wing and rotorcraft
• Review test data captured from the flight control system, subsystems, and other test instrumentation to verify vehicle performance, evaluate GNC algorithm/controller behavior, or debug incident.
• Develop models required to support functional evaluation of GNC software
• Required Qualifications

• Bachelor’s degree in Robotics, Computer Science, Mechanical/Aerospace Engineering or a related field with exceptional skills in the field of dynamic systems and control
• 8 years professional experience in a Modeling & Simulation for supporting airborne platforms
• Demonstrated proficiency in C++, Matlab, Simulink, Simulink Embedded Coder, and Python
• Extensive experience in modeling and simulation of linear/nonlinear dynamic systems
• Experience in Monte-Carlo simulations and flight test data analysis tools and processes
• Extensive experience in the mathematical modeling and simulation of aerodynamics, rotorcraft dynamics, sensors and actuators.
• Work with multi-disciplinary subject matter experts to understand and adequately model pertinent sub-system, system and system of system dynamics
• A passion for defending the Unites States of America and its allies
• Eligible to obtain and maintain an active U.S. Secret security clearance

• Preferred Qualifications

• Master’s Degree or PhD in Robotics, Computer Science, Mechanical/Aerospace Engineering, or a related field with a focus on dynamic systems and control
• Experience with Flight test data processing/sim correlation experience
• Experience with integrating and debugging navigation systems for aerial platforms
• Experience with guidance algorithm development

The Tactical Recon and Strike (TRS) team at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from paper sketches to operational systems. We work in close coordination with specialist teams to solve some of the hardest problems facing our customers. We are looking for software engineers, hardware engineers, roboticists, and front-end mobile developers who are excited about creating a powerful robotics platform that can be tasked and viewed in real-time through a variety of interfaces.

As a Staff Software Engineer - Security , you will take ownership of and enhance the security roadmap for TRS products and software services, working closely with engineering teams to create solutions that not only meet but exceed industry-standard security goals. You will engage with various teams to identify and remediate vulnerabilities in designs, implementations, integrations, and processes, while also designing and developing security software for embedded systems. The ideal candidate will possess a strong background in software engineering with a focus on platform security, enabling them to conduct complex security architecture reviews, research and mitigate exploits targeting hardware and software, and implement critical features in collaboration with engineering teams to build resilient products.

*This position will be located in our Costa Mesa CA, Seattle WA, or Atlanta GA location. We offer full relocation benefits if necessary.

WHAT YOU’LL DO

• Own the development and maturation of TRS products and software services security roadmap.
• Collaborate and build solutions with engineering teams to meet and exceed industry-standard security goals
• Engage with teams to remediate uncovered weakness in designs, implementations, integrations, and processes
• Design and Develop embedded system security software

REQUIRED QUALIFICATIONS

• Strategic vision and technical depth, maintaining active involvement in security architecture and implementation
• Proficient with one or more programming languages (e.g. C/C++, Rust, Python)
• Experience assessing security of firmware, applications, network, IoT, or embedded systems
• Experience developing features for and improving security of firmware, applications, network, or embedded systems
• Experience building, testing, and delivering production-ready systems, especially for embedded and/or Linux systems
• Familiarity with anti-tamper and reverse engineering mechanisms
• Experience in Platform security engineering and secure SDLC implementation
• Strong and professional communication skills (written and verbal)
• Demonstrated commitment to practical, mission-enabling security solutions
• Must be eligible to obtain and maintain a US TS clearance

PREFERRED QUALIFICATIONS

• Familiarity with security architectures of embedded, aerospace, or cyber-physical systems
• Experience with programmable logic devices and their development tools
• Knowledge of cyber threat actors, their TTPs, and their implications for weapon and space system operations
• Regularly builds, tests, and delivers production-ready systems, especially for embedded and/or Linux systems
• Experience conducting incident response in cloud systems and embedded systems

ABOUT THE JOB 

We're seeking a Security Software Engineer to develop novel security tooling for securing embedded Linux systems and Android devices. The ideal candidate can develop, test, and debug an endpoint detection and response agent with mission critical security responsibilities.

WHAT YOU’LL DO

• Design and develop cybersecurity tools for realtime embedded, embedded Linux, and Android systems.
• Implement an endpoint detection and response agent for use on Anduril products.
• Develop thorough testing and qualification procedures for security critical components.
• Collaborate with cross-functional teams to identify specific security needs and implement solutions.
• Conduct code reviews and ensure adherence to security best practices.
• Stay updated on the latest security threats and technologies.

REQUIRED QUALIFICATIONS 

• 2+ years of software development experience in some combination of Golang, Rust, or C/C++.
• Experience with Linux observability and eBPF.
• Strong understanding of Linux security internals.
• Experience debugging and optimizing performance of Linux software.
• Experience with CI/CD and test automation, including for mobile and embedded devices.
• Solid understanding of cybersecurity principles and practices.
• Ability to obtain and hold a U.S. Secret security clearance.

PREFERRED QUALIFICATIONS 

• Knowledge of security frameworks and compliance standards.
• Experience in mobile development, specifically on Android platforms.
• Experience implementing EDR tooling.
• Experience with SOC operations, forensics, and incident response practices.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

The Warfighter Systems division is pioneering a future where mixed reality (MR) creates immersive, intuitive, and life-saving technologies. We develop next-generation capabilities that put advanced technology directly in the hands of operators, enhancing soldier lethality and survivability. This team is responsible for taking innovative concepts from prototype to fieldable product on aggressive timelines.

ABOUT THE JOB

You'll build the technical development and productization of advanced hardware and software systems that integrate cutting-edge technologies—including computer vision, sensor fusion, RF and networking systems, embedded computing, precision actuation, autonomy, and ruggedized platform design. This is a zero-to-one build opportunity where you'll contribute to the transition from early-stage prototypes to fielded, production-ready systems built for operational environments.

We're looking for senior engineers and technical leaders with deep expertise in one or more of the following:

• RF and networking systems – communications architectures, wireless systems, distributed networks
• Hardware engineering – electromechanical integration, precision actuation, ruggedized platform design
• Embedded software and real-time systems – edge computing, control algorithms, sensor fusion
• Sensor integration – computer vision, lidar, optical systems, multi-sensor architectures
• Systems architecture – complex system integration, autonomy platforms, hardware/software co-design

Whether you're an RF expert, a hardware engineering leader, a software architect, or a systems integrator who operates across multiple domains—if you have a track record of taking complex technical systems from concept to production, we want to talk to you.

Your scope will include system architecture and integration across hardware and software domains, component selection and qualification, algorithm optimization, mechanical and electrical design, manufacturing scalability, and test and evaluation. You'll build and lead a high-performing engineering team within Anduril's Connected Warfare Division, establishing technical vision and driving rapid execution from concept to deployed capability. This role demands the ability to operate across disciplines—bridging embedded systems, autonomy, sensors, communications, and platform integration—while maintaining relentless focus on delivering mission-critical capability to end users.

WHAT YOU'LL DO

• Lead end-to-end technical and programmatic execution to transition prototypes and proof-of-concept systems into production-ready products for defense customers
• Build and manage a high-performing, multidisciplinary engineering team, establishing team culture, technical standards, and execution cadence
• Own the technical roadmap for system productization, including architecture definition, hardware/software integration, design for manufacturing, ruggedization, qualification testing, and supply chain strategy
• Work cross-functionally with software, hardware, autonomy, RF/networking, systems engineering, and manufacturing teams to optimize system performance, reliability, and scalability
• Establish and execute rigorous qualification and testing programs to validate performance, reliability, and safety under operational conditions
• Support field testing and operational evaluation with end users, incorporating feedback to refine system design and performance
• Ensure all work meets applicable safety standards, MIL-STD requirements, and regulatory compliance frameworks
• Manage technical risk, schedule, and resource planning to deliver capabilities on aggressive timelines
• Travel 25%+ to test sites, manufacturing partners, customer locations, and operational environments

REQUIRED QUALIFICATIONS

• Bachelor's degree or higher in Mechanical, Electrical, Computer, Robotics, Systems Engineering, or related technical field
• 10+ years of hardware and/or software engineering experience with demonstrated progression in technical leadership roles
• Proven track record taking prototype or proof-of-concept systems to production and customer delivery
• Deep experience with complex system integration across hardware, software, and/or electromechanical domains
• Strong understanding of manufacturing processes, design for manufacturability (DFM), reliability engineering, and supply chain management
• Experience building and leading engineering teams, setting technical vision, and driving execution in fast-paced environments
• Excellent communication skills and ability to interface with cross-functional teams, senior leadership, and customers
• Must be a U.S. person & eligible to obtain and maintain a U.S. Secret security clearance
• Must be authorized to work in the United States

PREFERRED QUALIFICATIONS

• Proven ability to take multiple products from concept to market or operational deployment
• Background in one or more of the following: precision systems, sensor integration, RF/communications systems, embedded computing, autonomy platforms, or ruggedized hardware design
• Experience with defense or aerospace systems, including familiarity with MIL-STD requirements and military qualification programs
• Knowledge of sensor technologies such as lidar, optical systems, radar, or RF sensing
• Familiarity with real-time control systems, edge computing, and distributed architectures
• Experience with system-level testing, environmental qualification, and reliability validation
• Background working in fast-paced, high-ambiguity startup or R&D environments

Disclaimer: Given the broad spectrum of technical specializations and leadership levels these roles encompass, the compensation package will be highly competitive and individually tailored based on your specific experience, depth of expertise in relevant domains (e.g., RF, hardware, software, systems architecture), and demonstrated leadership capabilities.

ABOUT THE TEAM

The Tasking Team is part of the Lattice software platform and enables command and control of robots, sensors, and third-party integrations through our flexible, software-defined tasking framework. Our work spans both ground and robot software, creating a unified model for task delivery, state management, and execution reasoning. As a core software capability, the Tasking Team's work directly enables mission-critical operations across all domains, across Anduril products and missions, and developer program partners integrating with the Lattice SDK. Our solutions are designed for real-world deployment in the most demanding operational scenarios, where the ability to maintain command and control of autonomous systems can make the difference between mission success and failure.

ABOUT THE JOB

We are looking for a Senior Software Engineer to join our team, where you will design and develop the core task execution framework onboard autonomous vehicles, enabling reliable command and control through our Lattice Autonomy stack. You will collaborate closely with platform teams, autonomy engineers, and end users to create solutions that enable efficient, reliable tasking of autonomous systems in real-world defense scenarios. If you are someone who is self-motivated, holds yourself to high standards, and thrives in a low-structure, high-autonomy environment, then this role is for you.

WHAT YOU’LL DO

• Design and implement core components of our Tasking framework that runs onboard autonomous vehicles as part of Lattice for Mission Autonomy
• Develop robust, fault-tolerant systems that can operate reliably over denied or degraded communications links
• Create interfaces that enable third-party systems to integrate with our Tasking framework through the open source Lattice SDK
• Collaborate with autonomy teams to ensure their platforms can reliably receive and execute tasks

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, or relevant field, or equivalent experience
• 5+ years of professional software development experience, with a focus on distributed systems or robotics
• Deep experience with C++, Rust, or similar systems programming languages
• Proficiency with protocol design and implementation (gRPC, protobuf, etc.)
• Experience building software solutions involving significant amounts of data processing and analysis
• Excellent collaboration skills and ability to work across multiple engineering teams
• A desire to work on critical software that has a real-world impact
• US Persons: Must be a U.S. Person due to required access to U.S. export controlled information or facilities

PREFERRED QUALIFICATIONS

• Experience with autonomous systems or command and control systems
• Background in developing systems for defense, aerospace, or other mission-critical applications
• Familiarity with software development for embedded systems or resource-constrained environments
• Distributed communication networks and message standards

ABOUT THE JOB 

We're seeking a Security Software Engineer with a specialization in crypto services and key management to develop novel security tooling for securing our suite of products. The ideal candidate can develop, test, and debug embedded software with mission-critical security responsibilities.

WHAT YOU’LL DO

• Design and develop cybersecurity tools for realtime embedded, embedded Linux, and Android systems.
• Design and develop resilient software supporting all phases of key handling on embedded systems - from key load through sanitization.
• Develop thorough testing and qualification procedures for security critical components.
• Collaborate with cross-functional teams to identify specific security needs and implement solutions.
• Conduct code reviews and ensure adherence to security best practices.
• Stay updated on the latest security threats and technologies.

REQUIRED QUALIFICATIONS 

• 2+ years of software development experience in some combination of Golang, Rust, or C/C++.
• Experience selecting and utilizing embedded HSMs and Secure Elements.
• Experience with CI/CD and test automation, including for mobile and embedded devices.
• Experience debugging embedded systems using common test equipment - logic analyzers, oscilloscopes, etc.
• Solid understanding of cybersecurity principles and practices.
• Ability to obtain and hold a U.S. Secret security clearance.

PREFERRED QUALIFICATIONS 

• Knowledge of security frameworks and compliance standards.
• Experience in mobile development, specifically on Android platforms.
• Familiarity with cloud infrastructure management (Terraform and/or AWS CDK).
• Experience implementing solutions compliant with US Government key handling requirements.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

Team Overview

The Platform Security Engineering (PSE) team builds security into Anduril's products from architecture through production. We work directly with business lines to design and implement security solutions tailored to their systems — then promote proven patterns into shared, composable platform services that the entire organization can use. Our mission is threefold: build security solutions for business lines, promote those solutions into the platform, and enable teams to build and operate securely on their own. The work spans cryptographic protocols, operating system hardening, secure boot, hardware security integration, authentication systems, and distributed protocol security across embedded, edge, and cloud environments.

Job Description

We're looking for senior and staff-level software engineers to design and build security solutions across Anduril's product ecosystem. You'll partner directly with business line engineering teams to understand their systems, threat models, and security requirements — then design and implement solutions that range from custom, business-line-specific implementations to shared platform services. The problems you'll work on span the full stack — secure hardware, operating systems, container orchestration, distributed services, and cloud infrastructure — and you'll move between them as the mission demands. We value engineers who are strong generalists: comfortable learning new domains quickly and working across security boundaries rather than specializing in just one.

We're also open to hiring talented software engineers with less security-specific experience, provided they have a strong track record building production software at scale, learn fast, and are motivated to go deep on security.

Key Responsibilities

• Design and implement security features and services for business line products — including custom solutions when platform capabilities don't yet exist
• Identify patterns across business line implementations and promote them into shared, composable platform security services
• Build tooling, libraries, and reference implementations that enable engineering teams to adopt secure patterns independently
• Lead security architecture reviews and threat modeling for business line and platform systems
• Implement cryptographic protocols, key management systems, and certificate infrastructure
• Work across the technology stack: secure hardware (TPM, TEE), operating systems, container orchestration, and application-layer security
• Provide hands-on engineering support to business line teams adopting platform security services
• Collaborate with the Security Applications & Tools team on cross-cutting security infrastructure

Required Qualifications

• 6+ years of experience designing and developing production software in large-scale environments (8+ for Staff level)
• Proficient in at least one of: C++, Rust, or Go
• Strong software engineering fundamentals: you can design, build, and operate complex systems and pick up new domains quickly
• Experience working on security for distributed systems, or demonstrated ability and motivation to develop deep security expertise
• Ability to work directly with product and engineering teams to translate requirements into working implementations
• Comfortable working across multiple problem domains rather than specializing in a single area
• Strong communication skills with proven ability to negotiate and reach consensus across teams
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

Experience or willingness to learn in a subset of the following:

• Designing and implementing secure protocols, APIs, or cryptographic systems
• Integrating secure hardware (TPM, TEE, HSM)
• Operating system security and hardening (Linux)
• Securing Kubernetes deployments and container runtimes
• Embedded systems or robotics security
• Secure cloud architectures (AWS or Azure)
• Performing security architecture reviews and threat modeling

Additionally valuable:

• Proficient in: TypeScript, React, Python
• Experience building shared libraries, SDKs, or platform services consumed by other engineering teams
• Knowledge of cryptographic primitives and best practices (key management, certificate lifecycles, secure key storage)
• Familiarity with compliance frameworks (STIGs, NIST) and translating requirements into engineering controls
• Experience with Nix build systems

ABOUT THE TEAM

The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful autonomy software stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.

WHAT YOU'LL DO

• Write and maintain core libraries and services that perform critical functions for collaborative teams of robots - for example, motion deconfliction and contingency management of fast mover air vehicles.
• Own major feature development and rollout of large, complex features for our products - recent examples include developing terminal-phase autonomy for various air vehicles and developing a test plan on live surrogates.
• Work closely with Anduril and 3rd party vehicle hardware teams, as well as operational subject matter experts (fighter pilots, UAV operators, etc.) to align on requirements during product development and iterate towards a final design.

REQUIRED QUALIFICATIONS

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field
• Proven understanding of data structures, algorithms, concurrency, and code optimization
• Experience troubleshooting and analyzing remotely deployed software systems
• Experience working with and testing electrical and mechanical systems
• 3+ Years experience with C++ or Rust experience in a Linux development environment

PREFERRED QUALIFICATIONS

• MS or PhD
• Experience in one or more of the following: motion planning, perception, localization, mapping, controls, and related system performance metrics.
• Python, Rust, and/or Go experience
• Experience programming for embedded and physical devices
• Multi-agent coordination of UAVs
• Complex frame transformation problems, such as target localization or multi degree of freedom robotic arms

ABOUT THE JOB

We are hiring a Senior Software Engineer to design, improve, and maintain the core package set which supports software distribution throughout Anduril. This involves creating internal tooling, establishing standards, planning architectural changes, and supporting users of the package set. You are expected to provide expertise for the usage of Nix at a large scale and assist in training other engineers. You should be capable of operating autonomously with limited oversight in a complex environment, and have the ability to break down intricate problems into simple solutions.

WHAT YOU'LL DO

• Maintain an internal package set in order to enable software distribution across the company for development, hosted services, and embedded devices
• Package open-source and proprietary software components using Nix
• Improve developer ergonomics by defining Nix usage standards, creating tooling support, and integrating with developer workflows
• Provide assistance, training, and mentorship to other team members

REQUIRED QUALIFICATIONS

• Proficiency with Nix, Nixpkgs, NixOS, and functional programming generally
• Deep understanding of how build systems and packaging ecosystems work
• Ability to dive into large and complicated systems, and use Nix to improve them
• Experience with one or more of the following languages: Rust, C++, Go, Python, Haskell
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with managing cloud computing resources (eg: AWS)
• Experience with modern build and deployment tooling, and continuous integration (e.g. NixOS, Terraform)
• Experience designing complex software systems, and iterating upon designs via a technical design review process
• Familiarity with industry standard monitoring, logging, and data management tools and best practices
• A bias towards rapid delivery and iteration

ABOUT THE JOB

We are hiring a Senior Software Engineer to design, improve, and maintain the core package set which supports software distribution throughout Anduril. This involves creating internal tooling, establishing standards, planning architectural changes, and supporting users of the package set. You are expected to provide expertise for the usage of Nix at a large scale and assist in training other engineers. You should be capable of operating autonomously with limited oversight in a complex environment, and have the ability to break down intricate problems into simple solutions.

WHAT YOU'LL DO

• Maintain an internal package set in order to enable software distribution across the company for development, hosted services, and embedded devices
• Package open-source and proprietary software components using Nix
• Improve developer ergonomics by defining Nix usage standards, creating tooling support, and integrating with developer workflows
• Provide assistance, training, and mentorship to other team members

REQUIRED QUALIFICATIONS

• Proficiency with Nix, Nixpkgs, NixOS, and functional programming generally
• Deep understanding of how build systems and packaging ecosystems work
• Ability to dive into large and complicated systems, and use Nix to improve them
• Experience with one or more of the following languages: Rust, C++, Go, Python, Haskell
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with managing cloud computing resources (eg: AWS)
• Experience with modern build and deployment tooling, and continuous integration (e.g. NixOS, Terraform)
• Experience designing complex software systems, and iterating upon designs via a technical design review process
• Familiarity with industry standard monitoring, logging, and data management tools and best practices
• A bias towards rapid delivery and iteration

ABOUT THE JOB

We are hiring a Senior Software Engineer to design, improve, and maintain the core package set which supports software distribution throughout Anduril. This involves creating internal tooling, establishing standards, planning architectural changes, and supporting users of the package set. You are expected to provide expertise for the usage of Nix at a large scale and assist in training other engineers. You should be capable of operating autonomously with limited oversight in a complex environment, and have the ability to break down intricate problems into simple solutions.

WHAT YOU'LL DO

• Maintain an internal package set in order to enable software distribution across the company for development, hosted services, and embedded devices
• Package open-source and proprietary software components using Nix
• Improve developer ergonomics by defining Nix usage standards, creating tooling support, and integrating with developer workflows
• Provide assistance, training, and mentorship to other team members

REQUIRED QUALIFICATIONS

• Proficiency with Nix, Nixpkgs, NixOS, and functional programming generally
• Deep understanding of how build systems and packaging ecosystems work
• Ability to dive into large and complicated systems, and use Nix to improve them
• Experience with one or more of the following languages: Rust, C++, Go, Python, Haskell
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with managing cloud computing resources (eg: AWS)
• Experience with modern build and deployment tooling, and continuous integration (e.g. NixOS, Terraform)
• Experience designing complex software systems, and iterating upon designs via a technical design review process
• Familiarity with industry standard monitoring, logging, and data management tools and best practices
• A bias towards rapid delivery and iteration

ABOUT THE TEAM

We're seeking a product security engineer to own security for assigned products in your technical domain, provide expert consultation on security architectures, guide implementation of security features, develop solutions engineering for complex security challenges, and ultimately secure our suite of advanced technologies including artificial intelligence systems, command and control platforms, aerospace vehicles, and long range sensors.

The ideal candidate has a background in electrical or software engineering, with a focus on platform security, or has pivoted to a product or application security role. They will be able to conduct complex security architecture reviews, research and mitigate exploits against hardware and software, and work with other engineering teams to build resiliency into our products.

ABOUT THE JOB

WHAT YOU’LL DO

• Owns the development and maturation of security features for Anduril’s products
• Collaborates and builds solutions with engineering teams to meet and exceed industry-standard security goals
• Collaborate with security assessment teams to assess Anduril’s products and integrated components to uncover potential weaknesses
• Collaborates with manufacturing and operations teams to develop secure handling and operational processes
• Engages with teams to remediate uncovered weakness in designs, implementations, integrations, and processes

REQUIRED QUALIFICATIONS

• Experience with one or more programming languages (e.g. C/C++, Golang, Rust, Python)
• Experience assessing security of firmware, applications, network, IoT, or embedded systems
• Experience developing features for and improving security of firmware, applications, network, or embedded systems
• Experience building, testing, and delivering production-ready systems, especially for embedded and/or Linux systems
• Familiarity with anti-tamper and reverse engineering mechanisms
• Strong and professional communication skills (written and verbal)
• Strong understanding of the "why" behind product, systems, and security design
• A sincere commitment to a positive, inclusive, and collaborative culture
• Must be eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• Excels at the above listed Requirements
• Possesses and able to maintain an active U.S. TS Security clearance with SCI and/or SAP eligibility
• Familiarity with security architectures of embedded, aerospace, or cyber-physical systems
• Fluency in modern USG cyber methodologies, including Cyber Survivability guidance and related policy (JSIG, ICD 503, CSEIG, SSECG, NIST SP 800-160, Cyber T&E Guidebook, CMMC, etc.)
• Experience with programmable logic devices and their development tools
• Regularly builds, tests, and delivers production-ready systems, especially for embedded and/or Linux systems

About Design at Gusto 

Design at Gusto is made up of over 80 creative, collaborative people who care deeply about our mission to empower small businesses and their employees. We're a cross-functional group that is always looking for opportunities to build understanding and empathy for the people who use Gusto. We don't care much about swim lanes and though we care deeply about quality and craft, we are never precious about it. We work closely with cross-functional partners in Product, Engineering, Data, and Marketing to design, build, and ship experiences that make a real difference. We believe great design can make hard things possible, even delightful.

We are building an AI-native design organization — and we mean that seriously. We're looking for designers who are already working this way: using AI to prototype ideas quickly, shorten customer feedback loops, and ship quality UX directly to customers. This isn't a future aspiration — it's how we work now, and it's changing what the design role looks like at Gusto and across the industry.

About the role:

We’re hiring a Principal Product Designer to lead AI design across Gusto.

This is one of the most senior individual contributor design roles at the company. You’ll define how AI works, behaves, and earns trust across the Gusto platform – starting with Gus, our AI conversational assistant, and expanding into AI-powered workflows embedded in payroll, benefits, HR, and beyond. You’ll shape the interaction model, UX principles, and product direction for AI across Gusto. You will work with senior Product and Engineering leaders to define our AI portfolio. You will develop important AI features that customers will consider and you’ll ship high-impact, customer-facing AI capabilities that help our customers get their work done faster and more effectively, while building their trust in Gusto. These features will help customers finish their tasks faster and build their trust in Gusto.

This role is both strategic and hands-on. We’re looking for someone who can set a long-term UX vision for AI and turn it into real, shipped product that meaningfully improves how small businesses get work done.

Here’s what you’ll do day-to-day:

• Define and evolve the UX vision for our Gus conversational assistant and AI experiences across the Gusto platform.
• Lead and ship Tier 1 AI initiatives from early concept through launch and iteration.
• Design full AI-powered workflows – shaping how users provide input, how model outputs are validated and acted on, and how the experience handles risk, uncertainty, and failure.
• Partner closely with AI Product and Engineering leaders to translate complex technical constraints into intuitive, credible user experiences.
• Establish scalable AI interaction patterns and design principles that teams across Gusto can adopt.
• Write and iterate on prompts in collaboration with engineering, PM, and content design.
• Use AI tooling to accelerate exploration and prototyping, customer feedback loops, and shipping to customers.
• Mentor designers on the AI team and coach designers across Gusto who are shipping AI features.
• Advocate for high-quality, responsible AI experiences across Design and R&D.

Here’s what we're looking for:

• Proven AI product impact: You’ve shipped LLM-driven product experiences to production and can demonstrate measurable impact on adoption, efficiency, or user trust.
• Systems-level thinking: You’ve designed complete AI workflows – not just chat interfaces – and can speak fluently about failure modes, guardrails, user control, and transparency.
• Strategic product influence: You’ve defined UX direction at a portfolio or company level and influenced roadmap, scope, and sequencing decisions in partnership with senior PM and Engineering leaders.
• Technical fluency: You’re comfortable collaborating with highly technical AI engineers. You understand concepts like retrieval, context management, latency, and model reliability, and can translate them into robust UX decisions.
• Builder mindset: You ship. You prototype. You iterate. You’re not interested in defining principles without turning them into real customer impact.
• Organizational leadership: You have enhanced team work quality. You achieved this by coaching team members, setting new standards, and building solid partnerships across different functions.

Compensation Details

At Gusto, we strive to provide rewards that empower employees to achieve their financial and personal goals. We offer competitive compensation packages with a strong emphasis on equity based compensation (ownership in Gusto). To learn more about Gusto’s compensation philosophy and benefits offerings please view our Total Rewards Approach page.

Our cash compensation range for this role is $204,000/yr to $238,000/yr in Denver & most remote locations, and $240,000/yr to $280,000/yr in San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

We are seeking a Machine Learning Engineer to join our team at MORSE.  You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms.  MORSE’s AI & ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE’s current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments. 

Responsibilities: 

• Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.  

• Use MLOps tools for efficient experiment tracking, data management, and reproducibility 

• Write robust, efficient, and maintainable code 

• Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE 

• Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models 

Skills and Requirements: 

• US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance 

• Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field 

• Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models 

• Proven experience testing and validating the performance of AI technologies in real-world applications 

• Proficiency in Python  

• Experience with cloud platforms (AWS and Azure)  

• Experience with Docker 

• Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc. 

• Exceptional communication skills and the ability to work well with customers 

• Understanding of Department of Defense requirements and standards is a plus 

We are looking for a Senior Forward Deployed Engineer (FDE) who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What you’ll do

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, GPU optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) to reduce friction for the broader field organization.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range:

• $140,000 - $174,000 

*This is a hybrid role

JR: 2025-7267

#LI-Hybrid