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Job Description Help redefine how the DoD makes multi-billion-dollar force-design decisions. In this role, you'll fuse physics-driven simulation, interactive computing, and verified AI code-generation to create next-generation wargaming platforms. If building ultra-low-latency APIs, taming high-volume geospatial data, and leading with clean, production-ready Python gets you fired up, let’s talk. What you’ll do • Own the service layer—design, build, and scale FastAPI micro-services and lightning-fast ZeroMQ messaging pipelines running in Kubernetes and bare-metal clusters., • Wrangle data at speed & scale—shape and query multi-TB Postgres/PostGIS datasets, orchestrate Redis for sub-millisecond state, and keep everything rock-solid under bursty load., • Glue the stack together—expose crisp, well-versioned REST & WebSocket endpoints for the frontend crew and simulation kernel., • Ship continuously—automate CI/CD, observability, and security hardening to DoD standards; push to prod with confidence., • Lead by doing—drive code reviews, mentor teammates, and set the standard for test coverage and documentation. Why Code Metal? • Mission with impact: your APIs become the nervous system of digital battlefields influencing multi-billion-dollar defense acquisitions., • Velocity: tight-knit teams, weekly releases, zero bureaucratic drag. Must-have credentials • 4+ years building production backends in modern Python, with deep FastAPI (or equivalent async framework) experience., • Proven expertise in ZeroMQ, NATS, Kafka, or similar high-throughput messaging systems., • Hands-on with Postgres/PostGIS and Redis in performance-critical workloads., • Cloud-native chops—Docker, Kubernetes, and one major provider (AWS, GCP, Azure, or GovCloud)., • Active Secret clearance or eligibility to obtain one. Bonus points, • C++ or Rust skills for bridging high-performance simulation modules., • Hardened services for FedRAMP / STIG compliance., • Observability mindset—Prometheus, Grafana, OpenTelemetry., • Health care plan with 100% premium coverage, including medical, dental, and vision., • 401k with 5% matching., • Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays)., • Flexible hybrid work arrangement., • Relocation assistance for qualifying employees.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Team overview The Core Infrastructure – Identity & Organizations (Core IO) pillar owns the foundational substrate for identity, access, organizations, and platform integrity at Klaviyo. We manage the critical path of the user journey from login, to enforcing permissions, to operating within the correct organization and regional context so that the rest of the platform can move fast and stay secure. Within Core IO, the Identity & Access Management (IAM) team builds and operates Klaviyo's centralized authentication and authorization platform for both humans and machines. We power login, SSO, MFA, SCIM, internal service auth, and external API auth, and we are in the middle of transforming Klaviyo's identity stack into a unified, enterprise-grade platform. Why this role is exciting • Shape Klaviyo's identity platform: You'll help design and build the services that every product team and customer relies on login, sessions, permissions, and secure service APIs are all on your roadmap., • High-leverage, platform-level impact: Your work will directly affect engineering velocity (auth as a shared service), Enterprise deal wins (SSO/SCIM/RBAC/ReBAC), and Data Residency (region-aware auth flows)., • Own features end-to-end across design, implementation, rollout, and observability for core authN/Z capabilities such as login flows, MFA, SSO enhancements, SCIM, sessions, and role/permission enforcement., • Contribute to auth platform extraction: Help move authentication and authorization paths out of the legacy monolith into dedicated micro services, including token verification, API key services, and internal service auth behind Kong and IdP platform., • Build and maintain shared SDKs and contracts that let internal teams adopt IAM services quickly (OAuth, machine auth, org-scoped authZ), making "secure by default" the simplest option for new surfaces and agents., • Collaborate with Organizations & Accounts to support org-scoped identity, multi-account SSO, and flexible org/account models that underpin enterprise experiences and cross-account analytics., • Partner with Platform Integrity & Protection (PAA), Security, and Compliance on secure patterns for account protection (MFA, recovery, device/session risk), ensuring IAM is a strong foundation for account security and anti-abuse controls., • Improve reliability and performance of IAM services by instrumenting metrics and alerts, debugging production issues, and contributing to on-call rotations and incident reviews., • Experienced systems builder: You have 2-5+ years of professional software engineering experience, including building and operating backend or full-stack services in production., • Strong fundamentals & debugging skills: You are comfortable reasoning about data models, API design, concurrency, and failure modes, and you can dig through logs, metrics, and traces to identify root causes and implement systemic fixes., • Security & identity motivated: You're excited by authentication, authorization, and account security problems and want to deepen your expertise in areas like MFA, SSO, SCIM, OAuth, and roles/permissions., • Platform/infra mindset: You like building reusable services and tools that other engineers rely on, including libraries, SDKs, and patterns that raise the floor for quality and security across the org., • Ownership & collaboration: You take responsibility for outcomes, not just code. You're comfortable driving a small project or component, coordinating with partner teams, and communicating trade-offs clearly in design docs and PRs., • You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.Minimum qualifications, • 2-5+ years of professional software engineering experience., • Proficiency in at least one of Python, Go, or TypeScript/JavaScript, and comfort working on backend and/or service-oriented systems., • Experience building or operating web services or APIs backed by relational databases and/or caches (e.g., MySQL, Postgres, Redis)., • Familiarity with authentication or authorization concepts (sessions, tokens, OAuth, SSO, MFA, RBAC) and an interest in going much deeper., • Building or integrating with IdPs and identity protocols (SAML/OIDC, enterprise SSO, SCIM, OAuth, API key management)., • Working with cloud-native infrastructure (AWS, Kubernetes, Terraform, Kong, or similar API gateways and service meshes)., • Experience with high-scale distributed systems or performance-sensitive services where availability and latency targets matter (e.g., auth endpoints, org lookups, internal service auth)., • Familiarity with observability stacks (Grafana, Datadog/Splunk, internal metrics/logging frameworks) and using them to drive reliability improvements., • Languages & frameworks: Python, Django, Go, TypeScript/React., • Identity & access: OAuth, API keys, SSO, SCIM, MFA, roles & permissions, internal service auth SDKs. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionCompany Overview Lydian is developing the lowest cost sustainable fuels from waste CO2, water, and renewable electricity to decarbonize the aviation industry. Our breakthrough technology replaces oil and gas refining with fully electrified, modular, and flexible reactor systems that produce fuel with 95% lower emissions than traditional jet fuel. Since our founding in 2021, Lydian has achieved key milestones in record time, including the production of our first liquid fuel from our pilot system, capable of producing 10,000 gallons of fuel per year for a fraction of the capital and time of alternative approaches. We are building a motivated, diverse, and collaborative team that is passionate about addressing the growing climate crisis and is committed to excellence in their work. In particular, we look for tenacious people who are energized by solving the hardest, highest impact problems that come their way. Position Overview Lydian is looking for a 6-month Catalyst Development Co-op, Fuel Production for Fall 2026 to be a leader in operating and analyzing data from Lydian’s Fischer-Tropsch (FT) systems, with a focus on time-series data and product selectivity lab methods. Design and develop lab-scale FT test articles through material synthesis, monolith washcoating, and slurry optimization. Leverage insights from data analysis and test article development to collaborate closely with Lydian’s FT reactor design team, driving key design decisions. This is an hourly position based in Boston, MA and has a minimum commitment of 6-months. Responsibilities * Own, develop, and execute synthesis plans of candidate catalyst materials with guidance from Lydian engineers. * Test these materials by loading and operating our lab scale reactor to efficiently identify the most promising formulations for further development. * Perform analysis of experimental data, prepare reports, and maintain database of catalyst formulations and experimental performance * Collaborate with other teams to integrate requirements, share insights, and solve technical challenges. Qualifications * B.S. or M.S. candidate in Chemical Engineering or related field. * Understanding of reaction kinetics, heat transfer, and mass transport at an undergraduate level. * Hands-on experience with chemical synthesis and general wet lab techniques. * Ability to plan, document, and execute experiments; collect and analyze data; and apply statistical analysis (Python proficiency is a plus but not required). * Strong focus on safe lab practices with foresight to identify and mitigate potential hazards. * Curiosity, eagerness to learn, and a proactive mindset. * Desire to work in a fast-paced environment and solve interesting technical problems * Alignment with our mission, vision, and virtues Company culture and benefits * Paid lab/engineering-focused internship with a collaborative in-person technical team * Challenging, meaningful work that can directly impact company success * Opportunities for networking/exposure within the climate tech community * Mentorship from a great team of engineers and scientists

Job DescriptionAbout SimpliSafe We're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don't just want you to work here. We want you to grow and thrive here. We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done. Why are we hiring? Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. What You'll Do SimpliSafe's Device Cloud Services team is on a mission to level up the cloud-based systems that empower customers to interact with their home security systems from anywhere in the world. We're looking for a motivated Software Engineer II to design, develop, maintain and own software solutions. We're a backend team solving large-scale distributed problems, ensuring customers have real-time control and visibility into their security systems; because we deal with life safety, reliability, simplicity, and performance are our key pillars. Primary Responsibilities Include: • Develop and design simple, reliable, high-quality software that scales to meet the needs of our growing customer base., • Develop and maintain tests to ensure the solution continues to function at a high level and can be maintained & refactored safely., • Long-term support & maintenance work, such as performance optimization, bug fixes, feature additions, design and usability improvements, and automation., • Document the systems you are building to ensure they can be maintained by the next generation of developers., • Experience designing and implementing features in cloud-based backend systems., • Experience with at least 1 major programming language (C#, JavaScript/TypeScript, Java, C++, Go, Python, etc.), and comfortable being on a team that utilizes multiple languages., • A strong understanding of the SOLID principles., • Passion, curiosity and a desire to continuously learn and grow., • Experience using AWS, Azure, or GCP., • Familiarity with the Agile Scrum process. What Values You'll Share, • Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them., • Aim High - Always challenging ourselves and others to raise the bar., • No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style., • One Team - Taking a highly collaborative approach to achieving success., • Lift As We Climb - Investing in developing others and helping others around us succeed., • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive, • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here), • Free SimpliSafe system and professional monitoring for your home. This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors. Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here. We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values. We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact .

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. About the Role Klaviyo is looking for a Full Stack Engineer to support key initiatives that enhance our product offerings and drive company growth. In this role, you'll play a critical part in delivering end-to-end solutions using both front-end and back-end technologies. You'll improve existing products and develop new capabilities that push the boundaries of what's possible for our customers. As a Software Engineer II, you'll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You'll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance. On the Flows Insight & Management team, we focus on crafting an exceptional user experience for the Flows product area which empowers users to build, manage, and analyze automated workflows seamlessly. Our work revolves around an intuitive visual editor that lets users create and modify flows with ease, as well as the rich insights and analytics that help them understand how their flows are performing. We also manage APIs that integrate with other services, creating a powerful ecosystem for users to drive automation in new and exciting ways. Collaboration is key to what we do. We actively partner with engineering teams across the organization, giving us exposure to diverse parts of the product and opportunities to impact various projects. This keeps us engaged with a variety of challenges and solutions, as we're always learning and evolving. Looking to the future, our team is focused on expanding the capabilities of Flows. We'll be enhancing our flow editor and ecosystem to make it even easier to build and expand on flows. We're also building smarter recommendations and actionable insights to help users optimize their flows. With our continued evolution, we envision Flows not just as a tool, but as a platform that empowers teams to do more, build more, and connect seamlessly. About the TeamThe Flows Insight & Management team owns how customers design, understand, and manage automated lifecycle programs across channels like Email, SMS, and WhatsApp. We are responsible for: • The Flows User Experience: Building an intuitive visual editor, staff-side management tools, and the analytics previews that allow users to create and modify flows with ease., • Developer APIs: Managing the configuration and APIs that handle creating, editing, cloning, and versioning flows., • Analytics & Reporting: Delivering rich insights, node-level metrics, and revenue/conversion analytics that help users understand exactly how their automations are performing., • Looking to the future, we are focused on expanding the flow editor ecosystem and building smarter recommendations and actionable insights to help users optimize their strategies.What We're Looking For, • 3+ years of experience in a software engineering role with a proven track record of building high-quality products., • Strong Full Stack proficiency: Experience building end-to-end solutions using Python and Django on the backend, and React and TypeScript on the frontend., • API Design experience: Ability to design and maintain robust RESTful APIs (experience with developer-facing APIs is a plus)., • Infrastructure & Database knowledge: Familiarity with relational databases (MySQL/Aurora) and exposure to cloud infrastructure, specifically AWS., • Engineering best practices: A focus on writing clean, maintainable code, participating in code reviews, and leading robust testing practices., • Agile collaboration: Experience working in fast-paced environments and partnering effectively with Product and Design teams., • Experience using AI coding tools like Claude Code or Cursor to accelerate development.Nice to Have, • Experience with infrastructure as code, such as Terraform., • Familiarity with asynchronous task queues and event-driven architecture (Pulsar, Kafka, RabbitMQ, Celery)., • Background in digital marketing, customer data software, or building analytics products., • Exposure to machine learning concepts, as we work towards building smarter recommendations for our users., • Experience building cloud-native solutions, ideally on AWS. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionInternship Title: SQA Automation Intern The Elevator Pitch Do you enjoy solving complex technical challenges and building automation that makes testing smarter, faster, and more reliable? Are you interested in working on real-world AI and machine learning systems that operate in safety-critical environments? Evolv is seeking an SQA Automation Intern to join our Software Quality Assurance team. In this 10-week internship, you’ll design and build embedded hardware and Python-based automation tools that directly support functional and stress testing of Evolv’s Express weapons detection system. You’ll work across the full engineering lifecycle—from requirements gathering and design to implementation, CI/CD integration, and final presentation—while collaborating closely with Quality, Software, Hardware, and Systems Engineering teams. This role offers hands-on ownership of a production-impacting automation solution and the opportunity to contribute meaningfully to Evolv’s mission of making public spaces safer. Success in the Role: What are performance outcomes will you work toward completing? : Within Weeks 1-2: Onboarding & Foundations • Kick off the project by meeting with the SQA team to understand goals, scope, and success criteria, • Learn about Evolv’s mission, products, and engineering culture, • Become familiar with the Express weapons detection system and its quality requirements, • Ramp up on existing test tools, automation frameworks, and hardware capabilities, • Collect, document, and review requirements for a next-generation automated test tool, • Understand current testing challenges and quality objectives Within Weeks 3-8: Build & Iterate • Develop hardware and software design specifications for the automation solution, • Identify technical constraints and refine the platform and architecture for implementation, • Document integration details, interfaces, and dependencies, • Implement services on an embedded platform (e.g., Raspberry Pi or similar), • Build and test a functional prototype with core features, • Integrate the solution into Evolv’s CI/CD pipelines and test automation harnesses, • Collaborate closely with Quality, Software, Hardware, and Systems Engineering teams, • Iterate on the solution based on testing results and feedback By Weeks 9-10: Deliver & Present • Debug and resolve defects; validate the solution against documented requirements, • Finalize, package, and deploy a production-ready automated test solution, • Check final code into CI/CD and complete supporting documentation in Confluence, • Actively contribute to quality validation of production software releases, • Prepare and deliver a final presentation (PowerPoint + Confluence) to a cross-functional engineering audience, showcasing design decisions, implementation, and usage examples, • Reflect on learnings and gain clarity on career interests within QA, automation, and engineering By the end of this internship, you will have: • Delivered a fully integrated automation tool used for system and stress testing, • Built confidence working across hardware, software, and embedded systems, • Gained hands-on experience integrating tools into CI/CD and automation pipelines, • Strengthened your ability to communicate technical work to a professional engineering audience The Work: What Will You Do? You’ll work closely with the SQA team on hands-on technical and collaborative assignments, including: Core Responsibilities • Develop and enhance automated test solutions using Python, C/C++, and related technologies, • Work with AWS services, databases, and test infrastructure to support automation workflows, • Navigate and contribute to an existing automation codebase and test hardware environment, • Collect requirements, prototype solutions, and validate functionality through testing, • Participate actively in team meetings and technical discussions, • Build strong working relationships across QA and Engineering teams, • Progress from onboarding contributor to recognized SQA automation team member What We Look for in Applicants We read every application. To be considered, you should: • Be pursuing a degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, • Have experience or coursework involving Python, C/C++, or automation development, • Demonstrate strong problem-solving skills and curiosity about how systems work, • Be comfortable learning new tools, codebases, and technical concepts, • Experience with test automation frameworks, embedded systems, or hardware-software integration, • Familiarity with AWS, databases, or CI/CD pipelines, • Interest in AI/ML systems, real-time systems, or quality engineering What is the leadership like for this role? What is the structure and culture of the team? You will be joining the SQA team and reporting to the Director of SQA. The team culture is one based on building trust, collaboration, on-going development through kindness, authenticity, courage, drive, and fun! Where is the role located? The location of this role is based in Waltham, MA with some flexibility commuting outside peak traffic hours, and occasional (rare) remote work with manager’s permission. We do not provide relocation assistance. What is the pay range? The hourly pay range for this internship position is $20-$27 an hour. Our pay ranges are determined by your current level of education. Values: At Evolv, we’re on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who: • Do the right thing, always;, • Put people first;, • Own it;, • Win together; and continue to Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at . Evolv participates in E-verify for all employees after the completion of Form I-9.

Job DescriptionTrivelta builds the technology that powers modern, social-first gaming experiences. Through our proprietary sportsbook and casino engine, we enable partners to launch their own fully branded, legally compliant gaming products. We have a number of international partners already demonstrating the power of the Trivelta platform—combining real social interactions, predictive gameplay, and casino entertainment in one unified experience. We're looking for a Slot and Casino Game Mathematician to own the math design and tuning of our slot-style games, with a heavy emphasis on PAR sheet development and iterative balancing to improve player session length while maintaining target RTP/volatility profiles. This is a role that partners closely with Engineering to develop creative designs from early stage concept models through testing, analysis, and optimization to provide engineering with a clear blueprint for the development of the product. The work demands an intuitive understanding of probability and the ability to produce Monte Carlo simulations in Python. Responsibilities • Build and own complex PAR sheets (base game + features), including assumptions, constraints, and documentation, • Design and tune RTP, volatility, hit rate, feature frequency, and payout distribution to meet product goals through Monte Carlo simulations., • Create creative concepts and mechanics and convert them into finely tuned mathematical models., • Create models that are not only accurate, but also optimally efficient for engineering implementation., • Research and deploy methods to enhance user experience and improve player engagement.Qualifications:, • BS in STEM (math/stats/CS/engineering/econ) or equivalent experience., • Experience with the development and implementation of casino games., • Strong command of PAR sheet construction and the full slot math lifecycle, • High proficiency with Excel/Sheets for PAR work; strong ability to build reliable, auditable models, • Programming/simulation skills in Python (or similar) for large-scale testing and tuning.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Why You Should Join the Channel Processing Team The Channel Processing team has direct technical responsibility for Klaviyo's most-used engagement product. It is responsible for designing, building and operating highly-scalable, highly-available distributed systems to process ever-increasing campaign traffic. Our systems are used by hundreds of thousands Klaviyo customers to schedule/process tens of thousands campaigns and deliver over 1B messages every day. Besides the daily high volume traffic, the more challenging task is to deal with super spiky volume at online sale seasons. During the 2025 Black Friday and Cyber Monday, over 10B messages got processed and delivered through our system without any manual intervention. We're proud of these achievements and passionate about continually scaling and evolving our systems to support and help drive Klaviyo's rapid growth by using modern technologies and patterns. Going beyond the established channels, this team is aiming to build a highly generic and extensible campaign platform to empower the new emerging message channels in future by leveraging our years of experience/expertise. If you like to take on new challenges working on large-scale, complex systems, come join us. How You Will Make a Difference • In this role, you will own and build features/services that hundreds of thousands of Klaviyo customers rely on daily to drive their business forward., • Work on crafting our highly-scalable, highly-available campaign pipeline that processes and delivers hundreds of millions of messages daily growing to billions scale., • Collaborate radically with teams and stakeholders across Klaviyo on designs, implementations, and engineering practices., • Learn new technologies, bring them to the team and apply them to evolve our systems to the next level., • Help us improve our experimentation and development processes, and mentor other engineers on the team., • Participate in the technical interview process to help maintain a high bar for our growing teams, • Contribute to the company as a subject matter expert, constantly pushing yourself to be a better engineer and to level up all of your peers within your team and within Klaviyo. Who You Are • Have 4-6+ years of experience in a software engineering discipline and have architected, built and delivered at least one complex system., • Experience on large-scale system architecture, technologies and patterns. Have a good understanding of their pros/cons and use scenarios, able to apply them to system design by making appropriate tradeoffs to meet the business needs best., • Love digging into performance and scalability issues to drive breakthrough solutions-- whether it's a performance degradation or too many clicks in a workflow, a database query timing out, or a queue that just won't drain. You recognize all problems can be solved., • Passionate about growing and improving a product daily using a data driven mindset, familiar with system monitoring and alerting techniques., • Proven experience with being a coach and a mentor for team members and helping them grow., • Like working on small, high-performing autonomous agile teams. At Klaviyo, you will have ownership of features, but you'll collaborate radically with everyone to make sure we produce the right solution. Technologies we use (not exhaustive): Languages & Frameworks: Python, Django, React Data & Infrastructure: MySQL, Redis, Memcached, Apache Zookeeper, Apache Pulsar Cloud & DevOps: AWS (EC2, RDS, Aurora), Terraform, Jenkins We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000—$222,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at We love tackling tough engineering problems and look for Engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last. Klaviyo operates a real-time data platform built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines. Team Overview The Groups Team is responsible for the segmentation and audience creation functionality in Klaviyo. We process and store all of our customer's data about their customers (profiles) and we allow them to group those profiles into audiences with our powerful segmentation engine. They can then send messages to those audiences or use them as a basis for reporting and analytics. We process billions of segment updates in real-time every day. Responsibilities As an engineer on this team, you will be responsible for designing, building, and maintaining systems to support core product areas in Klaviyo. You will work with a cross functional team to help refine feature specifications, write technical design documents, create system infrastructure, write high quality code, and operate large scale systems in production. You will also review other engineer's designs and code, and provide technical mentorship to other engineers on the team and in the broader engineering organization. Team Tech Stack • Python, • Django, • MySQL, • ProxySQL, • ClickHouse, • Kafka, • ZooKeeper, • Redis, • Parquet, • Iceberg, • AWSRequired Skills, • 7+ years of experience in a software engineering discipline, • Highly skilled in using at least one modern programming language, • Experience designing, building, and operating distributed systems in a cloud computing environment, • Experience with OLTP and OLAP databases, • schema design, • normalization / denormalization trade-offs, • performance, • operations, • Experience with high volume data processing and storage systems, • Experience using Linux operating systems, • Able to communicate well, both verbally and in writing, • Able to work with others on a team, • Able to learn continuously and adapt to a high growth environment, • Able to stick with and solve difficult problems Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Lead Software Engineer, New ProductsAbout the Role We're looking for a Lead Software Engineer to set technical direction and drive delivery for some of Klaviyo's most ambitious new product initiatives. In this role, you'll operate as a technical owner for major product areas—shaping architecture, guiding execution, and ensuring that teams deliver high-impact, high-quality solutions at speed. You'll partner closely with Product, Design, and Engineering leadership to translate bold ideas into scalable systems. As a Lead, you'll tackle the most complex technical challenges, make high-stakes trade-off decisions, and raise the bar for engineering excellence across the New Products organization. You'll also be a force multiplier—mentoring senior and mid-level engineers, influencing best practices, and helping the team move faster and smarter. The New Products team drives Klaviyo's most ambitious innovations—creating and scaling the company's boldest new bets. As a nimble group with a flat structure and fast-moving culture, we prioritize simplicity, speed, and impact. Every team member is expected to take radical ownership—rolling up their sleeves, collaborating across disciplines, and pushing beyond traditional role boundaries to make things happen. Success in this role means setting the standard for technical leadership, execution velocity, and product quality while helping shape Klaviyo's future through experimentation, creativity, and disciplined execution. What You'll Do • Own technical strategy and architecture for major product initiatives., • Lead the design and delivery of complex, end-to-end systems across frontend and backend., • Drive critical technology decisions, balancing long-term vision with near-term execution., • Mentor senior and mid-level engineers, supporting their growth and raising team-wide standards., • Partner with Product and Design to shape product direction and technical feasibility., • Establish and reinforce best practices for code quality, testing, reliability, and performance., • Champion the use of AI-first workflows and systems, responsibly integrating new tools to improve developer productivity and product capability. What We're Looking For • A strong track record of building and scaling high-quality products and systems., • 8+ years of professional software engineering experience., • Deep experience designing and delivering complex, end-to-end solutions., • Proven ability to lead large projects or technical domains with accountability for outcomes., • Experience influencing technical direction beyond your immediate team., • Strong mentoring and coaching skills, especially for senior engineers., • Expertise in code reviews, testing strategies, and production readiness., • Comfort operating in fast-paced, ambiguous environments., • Hands-on experience experimenting with AI tools and workflows, with a strong interest in building AI-centered systems and processes. Nice to Have • Strong experience with Python and related technologies., • Strong experience with React and modern frontend frameworks., • Experience building digital marketing or customer data platforms., • Experience with machine learning or applied AI systems., • Experience building cloud-native systems, ideally on AWS. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$176,000—$264,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. About the Role Klaviyo is looking for a Full Stack Engineer to support key initiatives that enhance our product offerings and drive company growth. In this role, you'll play a critical part in delivering end-to-end solutions using both front-end and back-end technologies. You'll improve existing products and develop new capabilities that push the boundaries of what's possible for our customers. As a Software Engineer II, you'll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You'll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance. The WhatsApp team builds the end-to-end experience for Klaviyo's WhatsApp channel, making it easy and powerful for customers to use our newest messaging channel effectively. We own the core WhatsApp product surface across Klaviyo, ensuring it's available wherever customers expect it, while building and operating WhatsApp-specific capabilities like outbound and inbound pipelines and Meta template management. We work cross-functionally by default. Partnering closely with teams across the org gives us broad exposure to the product, lets us unblock other teams, and allows us to drive impact well beyond our immediate scope. The work is fast-moving, varied, and forces us to constantly learn and adapt. Looking ahead, our focus is on scaling WhatsApp across Klaviyo. That means closing feature gaps, rapidly integrating new Meta capabilities, and running targeted adoption experiments to drive usage. The goal is simple: deliver the most complete, high-quality WhatsApp integration in the market—and set the bar for what a marketing platform can do with this channel What We're Looking For • A proven track record of building high-quality products and systems, with a focus on writing clean, maintainable code, • 3+ years of experience in a software engineering role, • Experience building end-to-end software solutions or deep experience with both front-end and back-end technologies, • Familiarity with code reviews and leading or participating in robust testing practices, • Experience working in agile, fast-paced environmentsNice to Have, • Experience with Python and related technologies, • Experience with React and related technologies, • Background in digital marketing or customer data software, • Exposure to machine learning concepts or applications, • Experience building cloud-native solutions, ideally on AWS We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Job Title: Software Engineer II - Marketing Agent Location: Boston, MA (Hybrid 3x week) At Klaviyo, we believe the future of software lies not in productivity tools for human users but in systems that do the hard work for them. We've built the infrastructure and applications that power the interface between businesses and consumers — supporting over 183,000+ customers, billions of consumer profiles, and hundreds of billions of customer interactions. Now, we're building the next generation of AI agents that can automatically create, execute, and optimize marketing and customer experience strategies for any business. As a Software Engineer II on Klaviyo's Marketing Agent team, you'll be at the forefront of one of the most impactful bets we're making — building an AI-powered system that autonomously creates and executes high-stakes marketing strategies on behalf of thousands of customers. This isn't backend plumbing: the work you ship directly drives revenue for the businesses that rely on Klaviyo every day. Partnering closely with product managers and technical product owners, you'll shape the scope of what's possible, turn ambitious ideas into production reality, and craft tools so intuitive they feel like superpowers to the marketers using them. This role is primarily backend, with a strong focus on crafting robust and maintainable AI powered systems that deliver high quality strategies and marketing content that's ready to use to our customers. There are ample opportunities for growth given the scope of this role and the team's central role in Klaviyo's product. How you'll make a difference: • You will dramatically increase ROI for Klaviyo customers by automating most of the marketing process for them., • You will lead and design the next generation of agentic systems at Klaviyo, pushing the frontier of AI capabilities., • You will collaborate with AI Engineers and AI Infra Engineers to ensure our system consistently produces high quality outputs at low latency., • You will leverage your experience to mentor and level up junior team members on engineering best practices and patterns., • You will transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up. Who you are: • A proven track record of building high-quality products and systems, with pride in writing clean, high-quality code., • 3+ years of experience in a software engineering role., • Experience leading projects and being accountable for their outcomes., • Experience mentoring team members or driving initiatives that help the team learn new skills., • Experience conducting code reviews and running a robust testing cycle., • Experience working in agile, fast-paced environments., • Proficient in Python and modern web stack components such as FastAPI, Django, MySQL, Postgres., • Experience working in cloud environments (AWS preferred)., • You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. Nice to have: • Prior work experience with AI tools such as Arize, Langgraph, Langchain, • Prior work experience building with LLMs such as GPT, Gemini, Claude We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Position Title: Senior Software Engineer About the Team: Profile data is the bedrock upon which Klaviyo's entire product ecosystem is built. The Profiles, Identity, and Consent teams tackle massive distributed systems challenges, operating at a breathtaking scale—storing tens of billions of records and processing billions of reads and writes every single day. We own the highly available platform that defines "who" a customer is and "how" they can be reached. By partnering with data warehousing, segmentation, and messaging teams, you will architect the foundational data pipelines that power Klaviyo's core product capabilities worldwide. Key Responsibilities: • Design and operate scalable distributed systems for identity resolution and consent, • Collaborate cross-functionally to translate requirements into robust technical designs, • Author technical design docs and service contracts for operational excellence, • Participate in on-call rotations to continuously improve system reliability, • Provide technical mentorship and conduct thoughtful code and design reviews, • 7+ years of software engineering experience with strong computer science fundamentals, • Expertise in building backend service-oriented applications and REST/gRPC APIs, • Hands-on experience scaling distributed systems for performance and consistency., • Proficiency with streaming and batch processing systems, • Production experience with relational database schema design and optimization, • Excellent communication skills for leading execution and driving team alignment, • BA/BS in Computer Science, a related field, or equivalent practical experience, • Languages: Python, SQL, Golang, • Databases: Aurora MySQL, ProxySQL, Redis, • Streaming and Batch: Apache Kafka, Pulsar, Spark, Iceberg, • Infrastructure: AWS, Terraform, Docker, Kubernetes, Buildkite We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000—$222,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description Life at Plume At Plume, we believe that technology isn't about moving faster, it's about making life's moments better. Which is why we've built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale. We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We're expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can't do it exceptionally well, we don't do it. It's how we've assembled a team of world-class builders, thinkers, and doers. And it's how we're reinventing what's possible every day. As part of our Product Engineering organization, you will play a critical role in building scalable, high-performance backend systems that directly power customer-facing products and internal platforms. Product Engineering at our company is responsible for translating product vision into reliable, secure, and production-grade software solutions. This role sits at the intersection of product strategy and technical execution — partnering closely with Product, Design, and cross-functional engineering squads to rapidly ship impactful features while maintaining long-term architectural integrity. You'll help shape the technical foundation of our products, ensuring they are scalable, resilient, observable, and built with engineering excellence. Responsibilities • API Development: Design, implement, and maintain RESTful and gRPC APIs powering internal and external applications., • Cloud Microservices: Architect and deploy scalable microservices in AWS/GCP/Azure using Kubernetes and modern DevOps practices., • Data Pipelines: Build real-time and batch data pipelines, ensuring data accuracy, performance, and observability (EMR on EKS)., • Collaboration: Partner with cross-functional squad members to deliver features end-to-end, from concept to production., • System Reliability: Optimize services for scalability, resilience, and high availability., • Engineering Excellence: Contribute to architecture discussions, enforce coding standards, and drive best practices in CI/CD, testing, and monitoring., • Strong proficiency in Scala, Go, or Java and Python (experience with multiple is a plus)., • Proven experience with distributed systems, microservices, and event-driven architectures., • Fundamental understanding of computer networking (including Wi-Fi), operating system, and database, • Hands-on expertise in cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker)., • Familiarity with data engineering (ETL pipelines, real-time streaming with Kafka/Pulsar, batch processing frameworks)., • Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra, DynamoDB)., • Solid knowledge of CI/CD pipelines, testing frameworks, and observability tools (Grafana, Prometheus, ELK)., • Functional programming experience in Scala., • Experience with caching layers, distributed storage, and message queues., • Familiarity with AI-powered developer tools such as ChatGPT, Cursor, GitHub Copilot, or similar to boost productivity. An employee's base salary and its position within the range may depend on a number of factors including job related knowledge, education, skills, experience and other business related considerations. Published ranges are provided in good faith at the time of posting. #RemoteWork #LI-Remote #WorkFromHome #RemoteJob #WFH About Plume As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world's largest such as Comcast, Charter, Liberty Global, and J:COM. Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume's software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture. Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.

Job DescriptionZurich Instruments is a technology leader in advanced test and measurement instruments and in control electronics for quantum computing. Our products are used in many challenging research fields by scientists all over the world and by leading high-tech companies worldwide. We help advance science and build the next generation of quantum computers. As an Application Scientist, you will be part of our marketing and sales team in Boston. With the opportunity to apply your technical expertise to solve new technical challenges, you will be making a significant contribution to the success of our fast-growing company. This is a great chance to transition directly from an academic path into a role within a dynamic company environment that allows you to stay at the cutting edge of technology. Your responsibilities • Provide quantum solutions to ensure scientific and commercial success, • Provide application-specific customer support, including onsite system integration, • Maintain and establish customer contacts to secure future sales and support market growth, • Represent Zurich Instruments at trade shows, engage with opinion leaders and work with leading quantum researchers across the US, • Produce marketing material, including presentations, product documentation, and videosYour profile, • PhD or Master’s in Physics, Electrical Engineering, or Computer Science with a relevant background in Quantum Computing, • Solid scientific track record with practical lab experience, including RF/microwave signal generation and measurement, • Programming experience with scientific instrumentation, preferable with Python, • Sales experience or a keen interest in developing your skills in this area

Job Description About SimpliSafe We're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don't just want you to work here. We want you to grow and thrive here. We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday – working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done. Why are we hiring? Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. About the Role We are seeking an exceptionally talented and hands-on Staff Backend Software Engineer to drive the technical direction and architecture of our core backend systems. This role is a critical force multiplier, focusing on complex cross-team initiatives, technical strategy, and mentoring senior engineers. This position is explicitly structured as a technical leadership track with the future potential to evolve into a Hands-On Engineering Manager role, based on performance in people mentorship and project leadership. Key Responsibilities • Own the design, review, and implementation of complex, large-scale, and highly available backend services and microservices., • Serve as an active individual contributor, writing high-quality, maintainable code and tackling the most challenging technical problems., • Define and drive improvements in performance, scalability, monitoring, and operational excellence, ensuring our systems meet demanding SLOs/SLIs., • Work closely with Engineering Directors/Sr. Managers and Product Managers to define the long-term technical roadmap, identifying strategic investments in core infrastructure and managing technical debt., • Act as the lead technical mentor and coach for multiple engineers, defining best practices, conducting rigorous code and design reviews, and raising the overall technical bar across the entire backend organization., • Lead technical collaboration and coordination across different teams, resolving major technical blockers, and standardizing shared services and technologies., • Take on increasing responsibilities related to process and project leadership, including driving quarterly planning, leading post-mortems, and starting to formally participate in candidate interviewing and onboarding., • Extensive professional software engineering experience, with significant time spent leading projects and driving technical direction at a Senior or Staff level., • Mastery in designing, building, and operating distributed, high-volume backend systems and REST/gRPC APIs., • Proficiency in at least one major programming language (e.g., JavaScript/TypeScript, Rust, Java, Go, Python, C#) with the adaptability to work with multiple languages., • Proven ability to architect solutions using modern patterns, including event-driven architectures, domain-driven design, and containerization (Docker, Kubernetes)., • Expert knowledge of cloud platforms (e.g., AWS, GCP, Azure) and proficiency in operational tools for monitoring, logging, and CI/CD., • Exceptional communication, documentation, and presentation skills, with a proven track record of influencing technical decisions across organizational boundaries., • Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them., • Aim High - Always challenging ourselves and others to raise the bar., • No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style., • One Team - Taking a highly collaborative approach to achieving success., • Lift As We Climb - Investing in developing others and helping others around us succeed., • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive, • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here), • Free SimpliSafe system and professional monitoring for your home. This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors. Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here. We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values. We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact .

Job Description For over 31,000 growing businesses and HR teams seeking a comprehensive, all-in-one HR suite, Workable emerges as the premier solution. We uniquely combine the world’s most widely adopted Applicant Tracking System (Workable Recruiting) with a full-spectrum employee management system (Workable HR). At Workable, we empower companies to focus on what truly matters: hiring the right people and fostering their growth. While we take HR seriously, we maintain a lighthearted and collaborative culture. At Workable, you’ll find smart people who have fun, learn, innovate, and help others do the same. We respect everyone, we hire the best, and make sure every experience is special. Workable is seeking a motivated and detail-oriented Software Engineer, Operations to join our growing Professional Services team in Boston. This is an ideal role for someone in their engineering career who enjoys solving real-world problems, working directly with customers, and building custom solutions that deliver immediate business value. You will work closely with experienced engineers and stakeholders across Workable to deliver technical solutions—including data migrations, custom reports, account automations, and integrations—that help our customers get the most out of our platform. Responsibilities Technical Solution Implementation • Deliver technical solutions of varying size and scope, ensuring they align with client expectations and project timelines., • Custom Integrations: Determine feasibility, gather requirements, develop, test, and deploy integrations tailored to client needs., • Data Migrations: Execute the secure and accurate transfer of legacy data into the platform., • Custom Reporting: Develop SQL-based queries and provide clear data visualizations., • Internal Tooling: Lead the implementation of internal tools, including requirement gathering, technical design documentation, and ongoing maintenance., • Work in lockstep with Implementation Managers to ensure a seamless transition from sales to a fully onboarded state., • Project Alignment: Partner with IMs to define technical milestones within the broader project plan, providing accurate ETAs for deliverables., • Strategic Scoping: Assist IMs in identifying potential technical "blockers" early in the implementation lifecycle and proposing creative workarounds., • Client Communication: Support IMs during technical deep-dives with clients, translating complex technical processes into business-value outcomes., • Tech Lead Partnership: Collaborate with Tech Leads to rigorously test, document, and deploy custom solutions according to internal standards., • Internal Consultancy: Act as a technical subject matter expert for Sales and IMs, providing API consultation and high-level support., • Sales Enablement: Serve as the technical point of contact for non-technical sales teams, equipping them with the right information to set realistic customer expectations. Requirements You must have: • 1-3 years of experience in software engineering (preferrably in Python), • Experience with database technologies and advanced SQL knowledge, • Experience with CI/CD pipelines and deployment automation, • Strong problem-solving skills and attention to detail, • Proficiency with Amazon Web Services (Redshift, S3, EC2, Lambda), • Experience with all/most of SDLC phases, • Experience with Kubernetes, • An excellent communicator, with the ability to express yourself clearly and effectively, • Able to present technical information to a non technical audience, • Diligent and rigorous, able to appreciate quality and deliver projects on schedule, • Able to collaborate well in a multinational team environment Our employees enjoy benefits that make them more productive and contribute directly to the development of their professional skills. We want to be able to attract the best of the best and make sure they keep getting better. On top of an exciting, vibrant and intellectually challenging environment, we are offering: *

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Senior Software Engineer, AI & Analytics Data Enablement Location: Boston, MA As a Senior Software Engineer on Klaviyo's AI & Analytics Data Enablement team, you'll build and own the data foundations that power our Analytics & AI engine. You'll design resilient pipelines and analytics models that turn billions of events and domain objects into trusted, actionable insights for Analytics and AI product features. "Your work will help our customers understand the performance of their marketing and power AI & Analytics experiences for our customers." About the Role You'll join a cross-functional R&D team focused on the availability, quality, and usability of AI and Analytics data for our customers. In this Senior-level role, you'll lead complex software and data engineering projects across multi-component systems, from shaping requirements to design, implementation, and long-term operation. You'll be a go-to expert for AI and analytics data, collaborating with product managers, AI, analytics, and other engineering teams to ensure our data is accurate, observable, and ready to drive insights and enable AI/ML products at scale. You'll also help evolve our technical standards for data engineering, raising the bar on data modeling, performance, and reliability, while mentoring other engineers on best practices and modern data tooling. What You'll Do Lead the design and implementation of robust, scalable data pipelines and core tables for Klaviyo. These pipelines are crucial for powering customer facing analytics features and powering AI models to unlock the next stage of Klaviyo's products Partner with Product, Engineering, and AI/ML teams to define clear, consistent metrics and data contracts that align to business goals and product outcomes. Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up for example, using AI to generate tests, detect anomalies, summarize data issues, or accelerate analysis. Mentor other engineers in data engineering best practices, code quality, observability, and system design; contribute to shared libraries, patterns, and tooling that improve developer velocity across R&D. Who You Are 6+ years of software engineering with at least 4 or those being data engineering experience, with a strong track record building and operating data pipelines and analytics models in production. Deep proficiency in large-scale SQL and data modeling for analytics. Strong programming skills in a modern language commonly used for data engineering (e.g. Python), and familiarity with orchestration and transformation tooling (e.g., Airflow, EMR, Spark/pyspark, or equivalents). Experience working with modern data platforms (e.g., columnar data warehouses, object storage) and processing frameworks (batch and/or streaming). Demonstrated ability to lead complex projects spanning multiple components and engineers—driving clarity, making tradeoffs, and delivering measurable impact on reliability, performance, or business outcomes. Comfortable owning systems in production: you think about observability, incident response, incremental rollouts, and long-term maintainability as part of the design. Excellent communication skills; you can explain data tradeoffs and constraints to non-technical partners and influence decisions with clear reasoning. You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. Inclusive, low-ego collaborator who values diverse perspectives and is motivated by helping the team succeed, not just shipping your own code. Nice to Haves Experience in a product-led SaaS environment with large-scale event data Experience in a customer facing data engineering role supports AI/ML features and Analytics Dashboards. Hands-on work with analytics engineering tools and practices (e.g., dbt, metrics layers, semantic models). Experience building near real-time or streaming pipelines for user-facing analytics or monitoring. Domain experience in martech, marketing automation, or customer engagement platforms. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000—$222,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description We have partnered with a cutting-edge data company to make an important senior engineering hire. We are looking for a collaborative, customer-focused, and creative principal software engineer to develop a high-performance mobile application framework that powers on-device machine learning models, enabling advanced data processing on Android and iOS platforms. Responsibilities: · As part of a small, fast-paced team, tackle complex problems and turn them into effective business solutions. · Analyze and convert business and functional specifications, as well as change requests, into actionable technical specifications for implementation. · Independently break down complex technical requirements into manageable, implementable components; develop high-performance software solutions that are maintainable, scalable, reliable, and testable. · Participate actively in code and design reviews to ensure quality and alignment with best practices. · Adhere to company-defined development and operational standards and processes. · Take on additional tasks as they arise, supporting team and project needs. Requirements: · Experience developing platform-independent software libraries in “modern” C++ (C++11 or later dialects) · Experience optimizing code for CPU and memory efficiency · Excellent communication and collaboration skills · Customer obsessed, demonstrates initiative, has a learning mindset, takes ownership · Proven ability to deliver results · An analytical mindset · Experience with real-time streaming systems · Signal processing expertise · Python knowledge, especially with libraries used by data scientists (NumPy, Pandas, SciPy, etc.) preferred · Familiarity with Machine-Learning libraries (PyTorch, CoreML, TensorFlow, etc.) a plus · Experience in Android development preferred · Experience in iOS development: Swift, Objective-C a plus · Experience in Python extension development such as Pybind preferred

Job Description About InvoiceCloud: InvoiceCloud is a fast-growing fintech leader recognized with 20 major awards in 2025, including USA TODAY and Boston Globe Top Workplaces, multiple SaaS Awards wins for Best Solution for Finance and FinTech, and national customer service honors from Stevie and the Business Intelligence Group. Judges also highlighted our mission to reduce digital exclusion and restore simplicity and dignity to how people pay for essential services, as well as our leadership in AI maturity and responsible innovation. It's an award-winning, purpose-driven environment where top talent thrives. To learn more, visit InvoiceCloud.com. Job Details The Product Reliability Engineering team at InvoiceCloud partners with Software Engineering to monitor, support, and improve the reliability of the SaaS platform powering millions of digital payments and customer interactions every month. As an Associate Product Reliability Engineer, you will build foundational technical and diagnostic skills while supporting production operations for InvoiceCloud's Payment Service Network. With guidance from senior team members, you'll assist in debugging, monitoring, and incident response, and contribute to improving reliability through automation, dashboards, and documentation. Working closely with experienced engineers and product support teams, you will gain exposure to InvoiceCloud's codebase, incident management practices, agile workflows, and delivery standards while building confidence and independence. Success Profile At InvoiceCloud, success in this role is grounded in our core competencies. These competencies represent the mindsets and behaviors that enable team members to deliver impact, innovate, and create value for our customers. Below outlines how each competency translates into meaningful actions and outcomes for this position. Results Driven • Supports issue triage and debugging across production systems, using logs, metrics, and traces to identify symptoms and narrow hypotheses., • Writes clean, functional, and well-tested code (primarily .NET/C#) to deliver small reliability improvements, automation, and fixes with defined scope and guidance., • Assists in building and maintaining monitoring dashboards and alerting to improve visibility into platform health., • Owns assigned incident tickets or operational work items through resolution, communicating progress, impact, and blockers clearly., • Documents recurring issues, troubleshooting steps, and runbooks so others can respond consistently and efficiently., • Partners with senior engineers and product support teams to reproduce issues, validate fixes, and confirm service restoration., • Uses Git and standard branching/review practices to streamline collaboration and ensure operational changes are traceable., • Creates or improves automation scripts (PowerShell and/or Python) to reduce repetitive operational work and speed up diagnostics., • Learns to prioritize reliability work using impact and urgency (e.g., incident severity, customer impact, and SLO risk) while meeting sprint goals., • Explores reliability and observability tools and techniques that improve detection, diagnosis, and recovery (e.g., better logging, actionable alerts, and dashboards)., • Leverages AI-assisted development tools (e.g., GitHub Copilot, Cursor, Windsurf) for debugging, code generation, and documentation, while learning to validate AI output critically., • Contributes ideas for improving incident response, post-mortem practices, and production readiness during feature delivery., • Bachelor's degree in Computer Science, Engineering, or related technical discipline, • 0–2 years of experience in software engineering, DevOps, production support, or technical support (internship, co-op, or professional), • Understanding of object-oriented programming, basic data structures, and algorithms, • Familiarity with .NET/.NET Framework, C#, SQL, and version control systems (Git), • Exposure to cloud environments (Azure preferred) and basic concepts like deployments, configuration, and networking fundamentals, • Exposure to scripting for automation and troubleshooting (Python and/or PowerShell), • Familiarity with monitoring/observability tools or concepts (dashboards, alerts, log queries); experience with New Relic or similar is a plus InvoiceCloud is committed to providing equal employment opportunities to all employees and applicants. We do not tolerate discrimination or harassment of any kind based on race, color, religion, age, sex, nationality, disability, genetic information, veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected under applicable laws. This commitment applies to all aspects of employment, including recruitment, hiring, placement, promotion, termination, layoff, recall, transfer, leave, compensation, and training. If you require a disability-related or religious accommodation during the application or recruitment process, and wish to discuss possible adjustments, please contact . Click here to review InvoiceCloud's Job Applicant Privacy Policy. For recruitment agencies: InvoiceCloud does not accept unsolicited resumes from agencies. Please do not forward resumes to our job aliases, employees, or any other company location. InvoiceCloud is not responsible for any fees associated with unsolicited submissions.

Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Senior Software Engineer to join the Business Systems team. In this role, you will design and implement the backend systems that power WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll architect and maintain critical services and integrations that support Finance, Operations, Member Services, and other business functions. By building reliable, secure, and performant systems, you’ll directly shape how WHOOP delivers value to its members and scales globally.RESPONSIBILITIES: • Architect, develop, and maintain backend services and APIs that power business-critical systems and integrations., • Lead the design and implementation of scalable data pipelines, automation, and workflows that improve operational efficiency., • Partner with stakeholders across the business to deeply understand needs and translate them into technical solutions., • Drive technical excellence through code reviews, best practices, and mentorship of other engineers., • Ensure reliability, performance, and security across backend systems, with a focus on scalability as WHOOP grows., • Contribute to long-term technical strategy for Business Systems and identify opportunities for automation and process improvement.QUALIFICATIONS:, • BS in Computer Science, Engineering, or equivalent experience., • 5+ years of professional backend software engineering experience., • Strong proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar)., • Experience designing and maintaining APIs, integrations, and middleware., • Solid understanding of relational databases, data modeling, and query optimization., • Experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems., • Proven ability to collaborate cross-functionally and deliver solutions that balance business and technical needs., • Experience mentoring engineers and contributing to a culture of learning and growth.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. About the Role Klaviyo is looking for a Software Engineer II to join the Flows Platform team. In this role, you will help build and operate the core engine that powers all automated lifecycle programs at Klaviyo. You'll play a critical part in delivering robust, high-scale backend solutions that process billions of events, send millions of messages, and ensure our customers' automations run reliably and without delay. As a Software Engineer II, you'll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You'll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance. On the Flows Platform team, we focus on the core of Klaviyo's automation engine, ensuring that hundreds of millions of actions per day are processed accurately and efficiently to power user workflows. Our work revolves around the core backend systems that determine who receives a message and when, handling complex logic for triggering, filtering, and scheduling at massive scale. We also manage the data stores and infrastructure that support these operations, ensuring reliability while we actively re-architect our stack to support the next generation of event-driven features. We are responsible for: • Core Execution Engine: The logic for flow triggering, evaluation (filtering/branching), and action execution. We ensure that every event is processed accurately and efficiently., • Scheduling & Orchestration: Managing time-based logic, delays, and the dispatching of millions of scheduled actions per day., • 3+ years of experience in a software engineering role with a focus on backend systems and high-volume data processing., • Strong Backend proficiency: Deep experience building robust services and APIs using Python and Django (or similar frameworks)., • Distributed Systems knowledge and experience working with asynchronous task queues (e.g. Celery, RabbitMQ, Pulsar) and understanding the challenges of eventual consistency and distributed state., • Proficiency with relational databases (MySQL/Aurora) and high-scale NoSQL stores (Redis, or DynamoDB)., • A focus on writing clean, maintainable code, participating in code reviews, and leading robust testing practices (unit, integration, and load testing)., • Experience working in fast-paced environments and collaborating with other engineering teams to solve cross-functional problems., • Experience using AI coding tools like Claude Code or Cursor to accelerate development.Nice to Have, • Experience with Event-Driven Architecture and streaming technologies like Pulsar or Kafka., • Experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes)., • Experience creating technical designs for complex features or system migrations., • Background in building platforms that support other engineering teams., • Experience building cloud-native solutions, ideally on AWS We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation. What You'll Do: • Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint., • Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable., • Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions., • Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components., • Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence., • Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment. What We're Looking For: • BS in Computer Science, Machine Learning, or related field, or equivalent professional experience., • 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment., • Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models., • Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning., • Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX)., • Strong software engineering fundamentals: testing, CI/CD, containerization, and system design., • Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference., • Demonstrated ability to ship production-grade ML systems and mentor team members., • Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers Bonus Points (Nice-to-Haves): • MS/PhD in Computer Science, Machine Learning, or related field., • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning., • Background in autonomous driving, robotics, or real-time decision-making systems., • Familiarity with multimodal learning, sensor fusion, or embodied AI., • Experience building active learning loops, using the model to find the data that breaks the model., • Experience with ML-based data mining, active learning, or contrastive learning., • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms., • Publications or open-source contributions in RL, distillation, or efficient ML. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$172,000—$229,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at We love tackling tough engineering problems and look for Engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last. Klaviyo operates a real-time data platform coded in Python built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines. Team Overview: DevX is a hybrid product–platform team focused on empowering external developers and partners by supporting applications they build on top of Klaviyo's Public APIs and features. Examples of these areas of ownership include: • our Application directory, which is used to promote and allow Klaviyo customers to discover applications that they can enable for their account, • the self-serve application process for a Partner to submit an Application and the ability for Klaviyo staff to review and approve an Application, • API Analytics is a system used by developers and partners to diagnose issues in their applications and understand their API usage. It is powered by a near real–time data pipeline that processes over 160,000 events per second. You will have an opportunity to make a major impact on the direction and priorities of the team. As an engineer on this team, you will work on Klaviyo's app marketplace, application publishing workflows, and the developer-facing tools and systems that support our app ecosystem. Additional responsibilities include providing quality PR reviews for our code-owned areas of the application, collaborating with product owners and providing technical expertise on upcoming Product Specifications, and participating in the definition of well-defined, estimated, and planned scopes of work. Required Skills: • 5+ years of experience in a software engineering discipline, • Experience with full stack application development, • Experience working with both monolithic and microservices architectures, • Experience with CI/CD pipelines, • Python, • Django REST Framework, Django, fastAPI, • React, React Query, • MySQL / postgreSQL, • DocumentDB, • Clickhouse, • JSON Forms, • Redis, • Memcached, • Experience working with Service Oriented Architecture (preferably in Python), • Experience working with RESTful applications/APIs/gRPC We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000—$222,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionWe understand that general purpose and generally intelligent robots are going to be built in our lifetimes. Not content to sit on the sidelines, we work efficiently towards this goal by combining human and artificial intelligence into something greater than the sum of its parts- a Tutor Intelligence. We enable anyone to teach robots complicated vision and manipulation skills. Our robots observe, copy, adapt, and improve on what we show them. They are the students, we are the Tutors. The robot problems we tackle range from the classical to the unsolved. We solve problems in planning, computer vision, SLAM, optimization, machine learning, and more. If this sounds like you, read on! Across the board we write software to make our robots more capable, faster and safer. We work mostly in Python and Linux. What follows is a list of things we find interesting. Depending on your passions, your role might fit one or all of the following. Robot Vision • Improving 2D and 3D sensing capabilities, • Building visual representations of the world, • Geometric perception, • Perception of seen and unseen objects, • Supervised learningSelf supervised learningRobot Motion, • Control of robot arms, • Planning motion in the presence of obstacles, • Optimizing grasps and other basic manipulation primitives, • Motion planning, • Tools such as Drake, OMPL, KLAMPT, etc, • Multi roboti planning, • Reinforcement learningRobot Software, • Proficiency programming in a Python-Linux environment, • Comfort with programming linters (Flake8, Mypy), • Software support of real-time systems, • Visualization of robot data, • Advanced command of Python (dunder methods, lambdas, exception handling, decorators)Robot Hardware, • Design and control of end effectors, • Experience integrating and programming robot arms, • Mechanical design of mounts and stands.All offers include generous equity, fully covered health + dental, and unlimited PTO.

Job DescriptionAt Laminar (formerly H2Ok Innovations), we're leading the charge in cleantech innovation, reshaping process industrials and manufacturing to drive operational efficiency and sustainability for our world’s most foundational industries. Powered by our Laminar AI Co-pilot models and state-of-the-art sensors, our solutions optimize facility performance across various processes, including process manufacturing, production, water management, energy reduction, and waste minimization. Based at Greentown Labs, North America's premier cleantech innovation community, we're a woman-founded startup backed by renowned investors like Greycroft, Construct Capital, 2048 Ventures, and Flybridge Capital. Our groundbreaking technologies have earned accolades and adoption from industry giants like Unilever, The Coca-Cola Company, ABinBev, and Mitsubishi Electric. We're committed to unlocking untapped data for our customers, empowering them to gain a competitive edge and create Industry 4.0. Transforming our most foundational sectors of society is hard. Very hard. But we’re building an empire. And empire building is not easy. It’s deeply fulfilling, and you will learn and grow tremendously while driving sustainable impact globally with some of the largest players that make everything we eat, use, and wear. Our culture is to foster extraordinary growth within our teammates. We believe in autonomy, ownership, empowerment, demanding excellence, being mission-driven. We believe in creativity, authenticity, and extraordinary growth. We’re looking for relentless, ambitious, creative, and exceptional people to join our team and build the factory of the future. We’re looking for an exceptional Embedded Software Engineer to join our engineering team and help build the core IoT technology behind Laminar's platform. Since we are a small team, we’re constantly picking up new challenges and really value engineers who can spot a problem and just get it done. You’ll play a key role in scaling our sensing and edge compute systems used by some of the world’s largest manufacturers. This is a unique opportunity to shape how critical industrial data is captured and used in real-time—while driving measurable impact on sustainability, water conservation, and energy efficiency at global scale. We’re looking for hands-on builders who thrive in fast-paced environments, enjoy solving tough technical problems, and want their work to have lasting real-world impact. Title and scope will depend on experience.What You Will Do • Firmware Development: Write reliable and efficient embedded C/C++ code for our in-line sensing and edge compute devices deployed in industrial environments, • Protocol Integration: Implement and support industrial communication protocols such as Modbus, Ethernet/IP, and Profinet to interface with PLCs and control systems., • RTOS Implementation: Use real-time operating systems like Zephyr to manage timing-sensitive operations and ensure deterministic system behavior., • Security Engineering: Build and design secure firmware and communication pipelines, including encryption, secure boot, and OTA update frameworks., • Cross-Team Collaboration: Work closely with hardware, software, and data teams to deliver production-ready systems., • Testing & Validation: Contribute to system-level testing, debugging, and validation in both simulated and real-world environments., • Field Support: Help with diagnostics, debugging, and support for devices deployed in customer environments., • Documentation: Write and maintain technical documentation for embedded designs, protocols, and interfaces.About You, • Proven ability to consistently deliver high volumes of robust, production-quality software efficiently within complex systems, or demonstrated potential to operate at this level., • Bachelor’s or higher degree in Computer Engineering, Electrical Engineering, or related field, • Experience developing embedded software in C/C++, • Experienced with microcontrollers and low-level I/O, • Experienced with real-time operating systems like Zephyr, • Proficient in Python for development tasks, scripting, or test tooling, • Strong grasp of object-oriented design principles (e.g. encapsulation, inheritance, polymorphism), • Exposure to RTOS environments (Zephyr preferred), • Ability to work successfully in a fast-paced team environment/product iteration cycle, • Motivated, driven, startup founder mindset, desire to drive positive change in the world, • Excellent communication and teamwork abilitiesBenefits, • Full-time position with competitive compensation and benefits, • Direct impact on product and culture., • Comprehensive benefits package including Medical, Dental, Vision, Life Insurance, Disability, Transportation benefit, Health and Wellness benefit, and more., • 401k plan with employer matching, • Equity, • Competitive salary and bonus opportunities., • Dynamic and inclusive work environment., • Opportunities for growth and professional development., • Access to Greentown Labs' extensive network of cleantech startups.Learn How We Think, • Learn about our startup journey: Our Journey, • How we're combating climate change: AI-Powered Climate Tech

Job DescriptionAbout Merlin: Merlin is a venture backed aerospace startup building a non-human pilot to enable both reduced crew and uncrewed flight. Backed by some of the world’s leading investors, Merlin is scaling alongside our customers to begin leveraging autonomy today to solve some of aviation’s biggest challenges. All of the sky, none of the limits! Who you are:You habitually take ownership of a task or significant engineering effort, defining, scoping and leading it to completion, collaborating and requesting help when needed. In return, you seek an innovative startup that values its employees and invests in their professional development. You are interested in building cutting-edge simulation technology in an autonomous aviation context. From software powering equipment for integration testing, to piloted flight simulators and training platforms providing synthetic sensor data, this role has high breadth and nearly unlimited depth in each of our focus areas. Your Role: • You’ll develop the simulation environment and also adapt it to power systems benches, desktop testing environments, piloted simulators, and cloud environments., • You'll collaborate with teammates on improving graphics and terrain pipelines to harmonize our sensor and visual models., • You'll work across the engineering organization to integrate models and hardware with our greater simulation suite., • You’ll have the opportunity to collaborate with stakeholders in flight test, human factors, business development and engineering.Your Qualifications:, • You have a high level of competence in modern software engineering practices., • You are comfortable engineering software in C++ 11+ and are familiar with either Python or JavaScript/TypeScript., • You set standards, conduct code reviews and ensure appropriate levels of testing and continuous integration for projects within your purview.Preferred Qualifications:, • Aviation background (e.g. a pilot's license or in previous employment), • Robotics or simulation experience, especially in a robotics machine learning context, • Performance engineering or distributed systems experience, • Experience with React and front-end development, • Simulink experience, especially integrating Simulink with other C++ applications, • Experience configuring continuous integration

Job Description Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Principal Software Engineer to join our Xometry Partner Experience Technology Organization. In this role as a senior individual contributor, you will guide software implementation across several engineering teams and influence decisions across our technology organization. You will bring deep expertise and technical leadership to help us build fast, reliable, and intuitive solutions that empower our partners – enabling them to more easily manage jobs, streamline operations, and maximize their growth potential within our manufacturing marketplace. Responsibilities: • Hands-On Technical Leadership: Your primary role is writing and reviewing architectural plans for new projects, and then participating in implementation with the team., • Guide Innovation: Champion the adoption of a good mix of traditional and cutting-edge technologies and methods. You have the experience to guide us out of "our way" of doing things when needed, and to double down on our existing tech and methods where appropriate., • Teaching & Mentorship: You will serve as a mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills., • Code Review: You will do code review and mentor others within the organization to perform good code reviews., • Operational Excellence: Guarantee the delivery of superior software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines., • Collaborative Strategy: Forge strong partnerships with product managers, designers, and company leadership to promote a culture of open communication, good collaboration, and high standards. Qualifications: • 15+ years of professional software development experience in a fast-paced, product-driven environment., • Marketplace product experience is highly desirable, with an understanding of scaling multi-sided platforms., • Strong technical expertise in full-stack development, including: • Backend development with Python (services, APIs, data-driven systems)., • Backend microservices and REST API design using Node.js., • Frontend development with React and TypeScript, with a focus on scalable UI design and usability. • Experience with AWS is required, including deploying, monitoring, and scaling production workloads., • Proven leadership skills, with the ability to set technical direction, mentor engineers across levels, and influence product and business decisions. #LI-Hybrid Xometry is 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. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Job DescriptionAbout Multiply Labs Multiply Labs is a cutting-edge startup based in San Francisco, California, supported by top-tier tech and life science investors such as Casdin Capital, Lux Capital, and Y Combinator. We are revolutionizing the manufacturing of cell therapies by developing advanced robotic systems designed to automate and scale the production of these life-saving treatments. Our robots empower biopharma companies to produce cell therapies at scale without significantly changing their existing processes, reducing regulatory barriers and risks. While traditional approaches are time-consuming and lead to extremely high costs for patients (typically $1M+ per patient), using robotics can make these transformative treatments more accessible and affordable to patients in need. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. You can also read our latest peer-reviewed study, which highlights the statistical equivalence between manual and automated cell expansion processes, at cytotherapy.org. About the Role As a senior member of our Software Engineering Team, you will be a key technical leader responsible for the intelligent software that powers our automated manufacturing systems. Working at the intersection of robotics and biopharma, you'll collaborate with a world-class team to solve complex challenges. This role is for a passionate, hands-on engineer dedicated to building robust systems that have a direct impact on patient lives.Responsibilities Include: • Scheduler Development: Implement and optimize sophisticated algorithms for multi-day, multi-agent scheduling. You will maximize throughput and prevent deadlocks in a shared-resource environment with variable execution times., • Resource Allocation: Develop logic to intelligently manage shared resources (e.g., incubators, liquid handlers) across parallel manufacturing batches., • Distributed Systems Design: Architect and implement the software layer that manages the state and coordination of a multi-robot cluster., • Resilient Orchestration: Design logic to maintain production continuity during hardware interruptions. You will implement mechanisms to isolate specific failures, ensuring that unaffected batches continue processing while the affected resources are addressed., • Cloud-Cluster Connectivity: Implement the communication layer connecting on-premise robotic clusters with our AWS backend, focusing on reliable state synchronization and data persistence., • Simulation & Testing: Build fast, discrete-event simulations to validate scheduling logic and throughput assumptions before code hits physical hardware., • CI/CD & DevOps: Maintain and improve automated integration test suites to ensure the reliability of complex, non-deterministic systems., • Mentorship: Mentor junior engineers, conduct code reviews, and champion software engineering best practices (clean architecture, testing patterns) to elevate the team.Qualifications:, • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline., • 5+ years of professional experience in software engineering, with a focus on backend systems, distributed systems, or complex logic., • Expertise in Python and a strong command of software engineering fundamentals (e.g., system design, concurrency patterns, distributed architecture)., • Strong ability to implement complex logic and search algorithms (e.g., DFS/BFS, graph traversal, constraint satisfaction). You don't need prior robotics experience, but you must be excited to solve hard optimization problems., • Excellent communication and problem-solving skills, with the ability to translate complex biological process requirements into software logic., • Comfortable working in a fast-paced, technically challenging startup environment. Ability to balance context switching between multiple projects.Additional Qualifications – Considered a plus:, • Hands-on experience with AWS (Lambda, IoT Core, DynamoDB) and container orchestration., • Familiarity with interfacing with hardware or instruments via standard protocols (TCP/IP, WebSocket, REST, Serial)., • Deep comfort working in Linux environments, including networking configuration, systemd services, and shell scripting., • Experience implementing monitoring and alerting for distributed systems.Benefits, • 401K with 4% company match, • Health Insurance, • Dental Insurance, • Vision Insurance, • Life Insurance, • Partial Health Insurance for Child Dependents, • HSA or FSA, • Twice weekly catered lunch (for team members in SF office), • Pre-tax Commuter Benefit, • 10 Paid Holidays, • Flexible PTO

Job DescriptionFieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. FieldAI is seeking a Software Engineer, Human-Robot Interaction. In this role, you'll shape how humans and robots communicate, collaborate, and build trust in real-world environments. From natural language dialogue systems to intuitive interaction paradigms, you'll design the interfaces that make our robots approachable, understandable, and effective partners for operators across diverse industries. This position sits at the intersection of robotics, AI, and human factors. You'll work closely with both research and product teams, translating cutting-edge HRI insights into field-ready interaction systems that ship to customers. You'll leverage foundation models to push beyond conventional command-and-control interfaces, enabling rich, context-aware dialogue and adaptive robot behaviors. If you're energized by bridging research and deployment to solve ambitious problems in embodied intelligence, we want to hear from you.What You Will Get To Do • Design & Build Human-Robot Interaction Systems, • Architect and implement dialogue systems that enable natural, multimodal communication between operators and robots., • Develop interaction frameworks that adapt to user expertise levels, environmental context, and task requirements., • Create intuitive mechanisms for operators to understand robot intent, state, and decision-making., • Leverage Foundation Models for Intelligent Interaction, • Integrate foundation models into HRI pipelines., • Design systems to improve the efficiency and performance of foundation models on edge., • Evaluate and iterate on model outputs to ensure safe, reliable, and contextually appropriate robot responses., • Bridge Research & Deployment, • Translate HRI research insights into practical, field-deployable systems, • Conduct user studies and field experiments to validate interaction designs, • Build robust systems that perform reliably in unstructured, real-world environments, • Collaborate Across Disciplines, • Partner with perception, planning, and autonomy engineers to create cohesive human-robot experiences., • Work with product and UX teams to align interaction designs with user needs., • Collaborate with customers to develop bespoke HRI solutions and see your work deployed in the field.What You Bring, • Bachelor’s degree in Computer Science, Robotics, Human-Computer Interaction, or a related field, or equivalent industry experience, • Hands-on experience developing human-robot interaction systems, including dialogue systems, natural language interfaces, or multimodal interaction, • Proficiency with foundation models and their integration into production software systems, • Strong programming skills in Python and C++, • Solid understanding of HRI principles, including user modeling, explainability, and trust calibration, • Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams, • Ability to translate research ideas into practical, field-deployable systems, • Excellent communication skills and a highly collaborative mindsetWhat Will Set You Apart, • Master’s degree in Computer Science, Robotics, Human-Robot Interaction, or a related field, • Experience with robotics middleware for real-time systems, • Publications in top-tier venues such as HRI, CHI, ICRA, RSS, CoRL, ACL, or EMNLP, • Experience with speech recognition, natural language understanding, or dialogue management frameworks, • Familiarity with user study design and evaluation methodologies, • Contributions to open-source robotics or NLP projects

Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Catastrophe Engineering and Analytics (CAT E&A) is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions. The Software Engineer within the CAT E&A team will play a crucial role in designing and developing end-to-end systems to deploy and run models. This role involves deep cross functional collaboration with business, product, and data science teams, while driving successful project outcomes. Not only will you focus on backend development, but another dimension to the role also demands some expertise with building data pipelines, data manipulation, and so forth. Duties & Responsibilities: • Collaborate closely with application engineers, data scientists, and stakeholders in building and maintaining existing software to support existing platforms., • Work with the team to help develop our technical platform to be more user-friendly and seamless, with an emphasis on bringing the various individual models together in a more uniform framework., • Understand and assist with the development of AI and machine learning related projects that are underway., • Contribute to the development, maintenance, and evolution of our platform., • Help drive technology and architecture decisions along with mentoring teammates., • Contribute to the design and architecture of scalable, reliable systems., • Write maintainable and well-tested code along with designing the system., • Build robust data pipelines, perform data analysis, and deploy models. Qualifications, Skills and Experience: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field is preferred., • Minimum three years of relevant experience in software engineering, data engineering, or ML engineering., • Strong problem-solving skills and ability to work independently., • Excellent communication and collaboration skills., • Proficiency in Python (Pandas, NumPy, or SciPy) or R is required., • Previous experience in building Batch or Streaming Data and ML pipelines is preferred., • Proficiency in building and working with APIs is preferred., • Exposure to GIS libraries, PostGIS, GDAL is preferred., • Experience with both streaming and batch processing of data is preferred., • Knowledge of Docker and Kubernetes is preferred. BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates, • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates and our other stakeholders, • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework Benefits that support your life and well-being, which include: • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization. The base salary range for this position in California is from $115,000 – $155,000 along with annual bonus eligibility; a candidate’s salary is determined by their relevant skills and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.

Job DescriptionZeroRISC ZeroRISC is redefining silicon security and supply chain integrity by empowering device owners and operators in crucial sectors like silicon production, IoT, and critical infrastructure with full device ownership, control, and visibility. Led by the founders of the OpenTitan secure silicon project, ZeroRISC is driving commercial adoption of high assurance software and services rooted in open silicon designs. Our products forge an immutable connection between hardware and software, enabling users to trust their devices no matter where they’re built or where they’re deployed. Role Overview As a Software Engineer at zeroRISC, you will develop our suite of security-focused cloud services and infrastructure. You’ll have the opportunity to learn, grow, and directly contribute to the design and implementation of scalable, reliable, and secure systems. You’ll collaborate closely with the rest of our engineering team to design APIs, build backend systems, and implement cloud integrations, ensuring seamless functionality with our embedded platform. This position is ideal for an early-career engineer with a few years of industry experience who is interested in a high-growth environment.Key Responsibilities: • Design, build, and maintain cloud infrastructure and cloud-based services and APIs to support the functionality and scalability of our platform, • Contribute to the development of software applications that interface with our embedded operating system and provide key features for end-users, • Identify and resolve bugs, and write automated tests to ensure system reliability and maintainability, • Stay informed about advancements in cloud computing, distributed systems, and secure software practices, applying these insights to your workWhat We’re Looking For:, • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field, • Strong understanding of computer science fundamentals, including algorithms, data structures, and system design, • 3+ years of full-time industry experience in a role with cloud infrastructure or cloud service development as a primary focus, • Proficiency in programming with a modern language like Go and Python (prior experience with Go is not required but is a plus), • Strong understanding of distributed systems, cloud computing concepts, and RESTful API design, • Strong teamwork and communication skills to work effectively with senior engineers, product teams, and other stakeholdersPreferred Qualifications:, • Familiarity with cloud platforms such as AWS, GCP, or Azure, • Experience with containerization and orchestration tools like Docker and Kubernetes, • Knowledge of industry-standard PKI and hardware security practicesWhy Join Us?, • Your work will directly contribute to the development of cutting-edge security solutions, protecting critical systems in industrial and IoT environments, • As a seed-stage startup, this role offers significant opportunities for learning and career growth

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at We love tackling tough engineering problems and look for Engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last. Klaviyo operates a real-time data platform built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines. Responsibilities The teams in the Data Platform area work with large scale distributed systems and databases to power core Klaviyo functionality and generate data-driven insights. As an engineer in this area, you will be responsible for designing, building, and maintaining systems that support other engineering teams across Klaviyo. You will work with a cross functional team to help design systems, write high quality code, create infrastructure, and operate large scale systems in a production environment. Team Tech Stack • AWS, • Python, • Kubernetes, • MySQL, • Clickhouse, • Kafka, • Spark, • Flink, • Iceberg, • Terraform, • AirflowRequired Skills, • Degree or equivalent experience in a software engineering discipline, • 2+ years of experience in a software engineering discipline, • Proficient in using at least one modern programming language, • Experience designing, building, and operating distributed systems in a cloud computing environment, • Experience with OLTP or OLAP databases, • Experience with high volume data processing and storage systems, • Experience provisioning infrastructure using Terraform or a similar infrastructure as code tool, • Experience using Linux operating systems, • Able to communicate well, • Able to work with others on a team, • Able to learn continuously and adapt to a high growth environment, • Able to stick with and solve difficult problems Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionThe CompanyTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built in our lifetimes, and we’re combining human and artificial intelligence to lead the charge. As an AI software company who deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy. The RoleTutor Intelligence is using AI to learn from a large fleet of robots to do useful work in factories. As a research intern, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field. This is a unique opportunity to see your work at scale in a fast-paced research organization developing and deploying novel robot learning algorithms on real hardware at massive scale. At the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development. We're looking for interns who can join us for 4-6 months to do substantial, impactful work, including work that culminates in a first author robotics paper.Requirements • Exceptionally strong programming skills, • You should have significant research experience, including first author publications at top-tier peer-reviewed conferences (e.g., ICRA), • Natural collaborator, excited to work closely with a team of researchers and engineers, • Research experience, practiced at solving open-ended problems, • Excited to reshape the physical economy by filling factories with intelligent robots, • Not afraid to step foot in a factory or a warehouseNice to haves (zero or more), • Experience training and improving AI models, especially models used in robotics (e.g., diffusion policy), • Advanced proficiency with Python, • Experience with robot arms / manipulation, • Experience with motion planning and robot optimization, • Experience with perception or computer vision (deep or classical), • Experience with infra and devtools (systemd, Docker, Kubernetes)

Job Description Cambridge, MA · In-Person · Full-Time About Us GT Biosciences is building Deliveromics, the world’s first AI-powered, high-throughput, and multiplexed in vivo data engine for decoding the design rules of drug delivery. Founded by MIT scientists and backed by top-tier investors, we are creating next-generation non-viral, cell-type-specific delivery vehicles, including early success in crossing the blood–brain barrier and transfecting specific brain cell types. We are a tightly-knit, fast-moving, and science-driven team dedicated to making routine in vivo cell reprogramming a reality. We value transparency and collaboration, and seek teammates who thrive in an open, cooperative environment and want to grow together with the team and the company. Job Description GT Biosciences is seeking a detail-oriented and motivated Laboratory Technician or Research Associate to join our Platform Development Team. This is an entry-level, hands-on laboratory role designed for someone eager to learn and grow within a fast-moving, science-obsessed startup environment. You will work directly alongside our scientists and be trained on every step of our experimental workflows — from tissue processing and molecular biology to spatial genomics and protein work. Our commitment is to teach you everything you need to know. Your job is to absorb, learn, and progressively execute these workflows independently. By the end of your first three months, you will have built a strong core wetlab skill set and gained hands-on experience with cutting-edge technologies that few labs in the world are running. This is a real opportunity to grow — technically, scientifically, and professionally — alongside a team building something transformative. This is a full-time, in-person position based in Cambridge, MA. Responsibilities * Assist with and independently execute molecular biology workflows (e.g., nucleic acid extraction, gel electrophoresis, PCR, buffer preparation). * Support tissue processing and preparation steps (e.g., sectioning, fixation, permeabilization, staining). * Assist with protein work as needed (e.g., bacterial culture, protein purification, bioconjugation). * Perform sample preparation and quality control measurements (e.g., fluorescence assays, plate reader operation, imaging). * Maintain basic cell culture responsibilities as required (e.g., passaging, cryopreservation, mycoplasma testing). * Handle liquid handling tasks with accuracy and care (e.g., multichannel pipetting, reagent pooling, serial dilutions). * Keep meticulous, organized laboratory records and documentation (e.g., lab notebooks, SOPs, experimental logs, reagent inventories). Qualifications Required * B.S. or M.S. in Biology, Biochemistry, Bioengineering, Chemistry, or a related field. * At least 3+ years of hands-on experience in a wet laboratory setting (academic or industry). * Demonstrated attention to detail and strong commitment to accurate, thorough record-keeping. * Proficiency with basic molecular biology techniques (e.g., running gels, making buffers, using DNA/RNA extraction kits). * Comfort with precision liquid handling (e.g., multichannel pipetting, reagent preparation). * Basic cell culture skills (e.g., mammalian cell passaging, sterile technique). * A proactive, team-first attitude with a genuine eagerness to learn and take ownership. * Ability to work onsite five days per week at our Cambridge, MA location. Preferred * Exposure to nucleic acid-based assays (e.g., hybridization, ligation, or amplification workflows). * Familiarity with tissue processing (e.g., cryosectioning, fixation, staining). * Experience with fluorescence microscopy or plate reader operation. * Prior experience in a spatial biology, genomics, or imaging-focused laboratory. Nice to Have * Basic coding or data analysis skills (e.g., Python, R, or Excel for data organization). * Exposure to drug delivery systems (e.g., lipid nanoparticles, viral vectors). * Experience with protein expression or purification workflows. * Familiarity with automated liquid handling platforms. * Mouse Intravenous Injection and Perfusion. Compensation: Estimated Base Salary: $22-$40 (depending on experience) What we offer: * Flexible, generous health benefits. * Work with a small, world-class team that values rigorous science and candid collaboration. * Opportunity to work with experts from diverse scientific backgrounds. * Professional development and learning opportunities.

Job Description Position: Computer Science Teacher Department: Upper School - Computer Science Location: AMC, Milton Academy Campus, Milton, MA Hours: Full-time with the flexibility to work nights and weekends FLSA: Exempt Classification: Faculty (Academic Year) Work authorization required; no sponsorship available. Base Salary: For the 2026–27 academic year, faculty salaries range from $50,000 to $120,000 annually. Placement within this range is determined by years of experience, in alignment with Milton Academy’s faculty salary scale, which is designed to ensure equitable pay progression. Housing Stipend: Faculty members who reside off-campus will also receive an annual stipend of $13,000 (in 2026-27) in addition to the base salary listed above. Milton Academy is an independent college preparatory K–12 school, boarding and day in grades 9–12, located just south of Boston. Milton Academy cultivates in its students a passion for learning and a respect for others. Embracing diversity and the pursuit of excellence, we create a community in which individuals develop competence, confidence and character. Our active learning environment, in and out of the classroom, develops creative and critical thinkers, unafraid to express their ideas, prepared to seek meaningful lifetime success and to live by our motto, “Dare to be true.” Summary of Position: Milton Academy is seeking a computer science teacher starting in August 2026. The computer science department at Milton Academy is vibrant, creative, and diverse. We are seeking a teacher who can bring energy to the program and help us continue to grow. The teacher will be responsible for teaching programming classes and working with students beyond the classroom, including supporting robotics, hackathons, and more. A strong candidate will have a passion for teaching, a high aptitude and interest in technology (hardware and software), a coding background (Java, Python, and/or C++), and the capability to teach programming to students in grades 9-12. Experience in mobile app development, robotics, artificial intelligence, and/or engineering is desirable. The ideal candidate will have the versatility to contribute across departments, with the ability to teach in areas such as math or science. Milton offers four project-based programming courses (introductory computer programming, advanced programming, mobile app development, and artificial intelligence) and an applied engineering course. Each of the courses is project-based, which allows us to tailor the material to student interest while promoting independent learning and collaboration between students. Introductory programming units are also taught in every geometry class. In the past 12 years, the number of computer science sections at Milton Academy has grown from four sections to 19. Forty-six percent of students in our current classes identify as female. Students engage outside of the classroom in a programming club, at regional hackathons, on the robotics team, and by facilitating a Girls Who Code club at a local middle school. In addition to acquiring technical skills, our graduates celebrate their development as innovative problem solvers, effective teammates, and self-directed learners. Beyond the classroom, Milton faculty members are active contributors to the life of the school, including advising, participating in community and residential life activities, among other duties. Work authorization required; no sponsorship available. Essential Functions and Responsibilities: Teaching and Curriculum * Teach up to four classes primarily focused in the Computer Science Department. * Plan, develop and implement an engaging curriculum in collaboration with other members of the Computer Science Department. * Create a student-centered learning atmosphere that fosters critical thinking, inquisitive learning, and a positive classroom environment that encourages student participation and discussion. * Adapt teaching methods to accommodate diverse learning styles and abilities. * Stay informed about the latest developments in computer science education, as well as trends and innovations, and incorporate these into the program. * Learn about diversity, equity, and inclusion in education; incorporate related principles when designing curriculum, teaching, and engaging with students. * Collaborate with colleagues to develop inter-departmental and cross-disciplinary projects and initiatives, including collaborating with the middle and lower school divisions on curriculum and instruction where appropriate. * Actively support students, providing mentorship and academic guidance. * Assess and evaluate student performance through assignments, projects, and exams. * Generate timely and comprehensive comments for each student, providing a well-rounded perspective on their academic performance. * Communicate effectively with students, parents, and colleagues regarding academic progress. Advising * Serve as an advisor to a group of up to nine students, engaging in advisor meetings each week. * Connect, support, communicate, encourage, and celebrate each advisee * Facilitate students' social-emotional learning and growth in alignment with all school programming through small group meetings. * Build deep relationships with each advisee and assist them in navigating challenges they may encounter. * Form relationships with and act as a liaison between the school and advisee families; serve as the first point of contact between the school and families. * Read and be familiar with all relevant materials, most importantly the Student Handbook and the sections of the US Faculty Handbook on academic regulations and diploma requirements. * Be informed about course offerings for the following year and help each advisee select programs that are challenging and appropriate, as well as areas of special interest. * Review each advisee’s grades and comments. * Craft formal advisor reports for each advisee two times per year, offering overarching perspectives on their progress, and acknowledging a broader view of their academic and community achievements at Milton. * Should an advisee need additional support in a particular area, be in steady contact with the advisee’s teachers, administrators, and/or other committees as needed. * Attend all upper school student required weekly assemblies, programming, and special events (e.g., community service day, pep rallies). * Attend class trips, retreats, and social events arranged by the director of student activities or the class dean. Community * Be a visible, accessible presence around campus. * Contribute to creating a positive community culture that ensures students are heard, seen, valued, and cared for. * Share in the enforcement of our expectations for students. * Actively participate in greater community enrichment activities, such as advising a student activity, acting as a faculty sponsor to a student club, coaching an athletic team, leading an intramural sport or acting as an affinity group advisor. * Complete all chaperone and/or supervisory duty, as assigned; lead and facilitate weekend programming / activities and supervise recreational activities both on and off campus. Residential Life (if residing in on-campus housing) * Act as a mentor and role model in all areas of the residential program, demonstrating a commitment to the success of each student, especially in the areas of social and emotional development. * Contribute to creating a positive community culture within the dorms that ensures students are heard, seen, valued, and cared for. * Be on call (on duty) as a dorm parent in a residential dorm once a week and on rotational weekends and ensure that all responsibilities and rules outlined in the faculty handbook around dorm supervision are adhered to. * Facilitate and oversee programming when on duty and supervise recreational activities as assigned. * Communicate regularly with other house staff as an opportunity to check in about the students in the dorm. * Attend at least two dinners per week with the dorm community. Other Professional Expectations and Responsibilities * Work cooperatively with students, parents, peers, administration, and community members. * Act in a manner that is respectful, generous toward others, supportive of colleagues, and based in a belief in the competence and good intentions of all members of the community. * Communicate openly and promptly, supporting colleagues, students, and the integrity of the institution in conversations with students and parents. * Create and maintain classroom and campus environments that are open and flexible, reflecting the school’s values related to diversity, equity, and belonging. * Strive to grow and improve professionally, demonstrating a commitment to continuing professional development in alignment with the upper school’s growth statements. * Exhibit skills in collaborative problem-solving, critical thinking, and teamwork. * Meet deadlines. * Attend all school-wide, divisional, and faculty meetings and events and serve on committees as required. * Prepare for and participate in opening of school programming, family visit days, graduation, and all other key student/family moments that are part of the school calendar. * Complete school-required training. * Abide by the school’s policies and procedures as outlined in the provided handbooks. * Communicate with the appropriate supervisor when unable to meet any professional obligation. Supervision to be received: Supervised by the Computer Science Department Chair. Supervision to be exercised: None. Education/Certification/Licensure Required: A bachelor’s degree in computer science, mathematics, or a related field Preferred: A master’s degree in computer science, mathematics, or a related field Experience Required: * A minimum of three years of proven experience in teaching and creating curriculum in computer science and/or mathematics at the secondary or collegiate level. * Coding background (Java, Python, and/or C++) Preferred: * Experience in mobile app development, artificial intelligence, and/or engineering. * Experience in robotics and physical engineering, using these skills to bring real-world applications into computer science education. * Experience working in an independent boarding / day school. Competencies Required: * Proficiency in computer science curriculum creation and instruction. * High aptitude and interest in technology (hardware and software). * Excellent verbal and written communication skills. * Demonstrated computer expertise, including proficiency in Google Workspace, Microsoft Office and Adobe Creative Cloud. * Ability to work collaboratively with internal and external constituencies. * Understanding of confidentiality and related issues. * Receptive to supervision and professional development. * Desire to be a part of a dynamic educational community. Physical Abilities Required: * Must be able to work at a computer for up to 8 hours each day in conjunction with OSHA requirements. * Must be able to teach in a classroom setting and use relevant instructional technology. * Must be able to move around the Milton Academy campus without restriction. * Must be able to lift up to 10 pounds. All interested internal candidates must complete an application for promotion or transfer and inform your supervisor as soon as possible. The essential functions and basic skills have been included in this job description; it is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This position description is subject to change at any time. Milton Academy is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of any category protected by federal, state, or local law, including but not limited to race, color, sex, sexual orientation, gender identity, gender expression, religion, disability, age, genetic information, veteran status, ancestry, citizenship of national or ethnic origin.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Team Overview: The mission of the Asynchronous Processing team is to design, build, and operate Klaviyo's high-scale, event-driven backbone so that every product team can reliably move data through our systems with confidence, no matter the volume. By providing opinionated, self-service platforms for queueing and background processing–grounded in technologies like Golang, Python, Apache Pulsar, Kafka, SQS, AWS, and Kubernetes–we enable engineering teams to focus on customer impact while we ensure their workloads are fast, observable, cost-efficient, and resilient by default. As a Senior Platform Engineer on the Asynchronous Processing team, you will architect, build, and operate the large-scale, event-driven backbone that powers Klaviyo, crafting paved-path primitives on top of Golang, Python, Apache Pulsar, Kafka, and SQS running in AWS and Kubernetes. You'll design and evolve resilient, multi-tenant queueing and processing platforms that safely handle massive spikes in traffic, process millions of messages per second with low latency, and provide simple, self-service APIs and tooling that enable product teams to move fast and with confidence. From core data models and routing patterns to observability, autoscaling, and failure isolation, you'll own systems that must be rock solid at scale, partnering closely with engineers across the company to turn complex distributed-systems problems into intuitive, reliable building blocks. This role is for senior engineers who love taming large-scale distributed systems and turning real-world asynchronous workloads into reliable, scalable platforms. You'll work on highly visible infrastructure at the heart of Klaviyo's event-driven backbone, directly shaping how thousands of Klaviyos build, ship, and operate products every day. How You'll Make an Impact: The Asynchronous Processing team builds and operates Klaviyo's high-scale, event-driven backbone that powers reliable, low-latency async workloads for every product team. As a Senior Platform Engineer on the Asynchronous Processing team, you will: • Build a deep understanding of engineering needs across the organization, guiding the design and development of appropriate platform primitives in queueing that align with the platform's vision and practically empower product teams., • Design, develop, and deliver software to dramatically improve the availability, scalability, latency, and efficiency of Klaviyo's asynchronous and queueing services., • Design and develop systems and processes that enable highly available & scalable systems, with a focus on asynchronous processing., • Leverage technology such as Python, Golang, AWS, and Kubernetes to advance Klaviyo's platform, with a deep focus on Apache Pulsar, SQS, and Kafka., • Champion best practices by actively collaborating with other teams in a culture that values technical design review., • Mentor and pair with other Klaviyo engineers to build better software by focusing on performance, self-healing systems, configuration as code, and defensive programming., • Participate in periodic on-call duties with a focus on solving issues when they are discovered, preventing recurrences and minimizing alert fatigue.Who You Are:, • You are passionate about building software effectively and for the long term, balancing technical quality, velocity, and business impact., • BA or BS Degree in Computer Science, related field, or equivalent experience., • You typically bring 6+ years of hands-on software development experience building and operating highly available, full-stack SaaS products at scale, or have demonstrated equivalent proficiency and impact., • You are independently responsible for the full lifecycle of complex projects or features, including discovery, technical design, implementation, rollout, and ongoing maintenance. You provide clear technical direction for others involved., • You own the operational health of the systems you build, including performance, reliability, and observability. You are comfortable defining and upholding SLOs, participating in on-call, and driving follow-through on incidents and RCAs., • Familiarity with cloud infrastructure (AWS preferred), infrastructure-as-code (Terraform), and containerized environments (Kubernetes), including how to design services that run reliably at scale in those environments., • Expertise and hands-on experience with asynchronous processing and queueing systems like SQS, Kafka, or Apache Pulsar., • Ability to handle yourself and complex systems in outage situations and to drive failures to root cause analysis and prevention of future issues., • You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient., • You question convention and proactively look for ways to improve, whether that's workflows, architecture, tooling, or team processes. You are intrinsically motivated to drive incremental and step-change improvements that deliver value to the business., • You are an excellent communicator and collaborator. You lead technical discussions at the project and product-area level, write clear technical design documents and RFCs, and keep stakeholders aligned on progress, risks, and trade-offs., • You mentor and support other engineers, offering thoughtful feedback in design and code reviews, helping refine specifications, and investing in the growth of more junior engineers on the team., • Fundamental understanding of Linux and all layers of the networking stack; you should be confident administering and debugging production Linux systems. Klaviyo's platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include: • Python / Django / FastAPI / GoLang, • Protobuf, • Apache Pulsar / Apache Kafka / SQS This role is based in Boston, Massachusetts and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position. At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds. Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000—$222,000 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description Responsibilities Job Title: Software Developer Intern Reports to: Product Development Leader FLSA Status: Non-Exempt Job Summary DeepHealth is seeking a Software Developer Intern for Summer 2026 to join our Seattle-area engineering team. This is a hands-on, in-person role focused on building and shipping production-grade systems in a fast-paced healthcare AI environment. Essential Duties and Responsibilities Interns will contribute directly to live product development in one of the following areas: Agentic AI Engineering: • Build and deploy AI agents on real-world healthcare datasets, • Develop orchestration logic and evaluation pipelines, • Design and implement scalable backend services and APIs, • Build responsive front-end applications, • Write clean, testable, production-quality code, • Participate in design reviews and system architecture discussions, • Collaborate closely with engineering and product teams, • Deliver a high-impact project by the end of the internship PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time. Minimum Qualifications, Education and Experience • Pursuing a BS or MS in Computer Science, Computer Engineering, or related field, • Strong foundation in data structures and algorithms, • Experience in one or more of: Python, JavaScript/TypeScript, Java, or C++, • Ability to work on-site in the Seattle/Bothell area for the full internship Preferred: Experience with distributed systems, cloud platforms (AWS or GCP), modern web frameworks, or AI/ML frameworks. Quality Standards • Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, patients, visitors, and vendors., • Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance., • Follows all local, state and federal laws concerning employment to include but not limited to: I-9, Harassment, EEOC, Civil rights and ADA., • Follows OSHA regulations, RadNet and site protocols, policies and procedures., • Follows HIPAA, compliance, privacy, safety and confidentiality standards at all times., • Practices universal safety precautions., • Promotes good public relations on the phone and in person., • Adapts and is willing to learn new tasks, methods, and systems., • Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with RadNet guidelines., • Consistently adheres to the time management policies and procedures., • Completes job responsibilities in a quality and timely manner. Physical Demands This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking. Also, must be able to lift up to 10 pounds occasionally. Working Environment This is a 3 month assignment starting June of 2026 in our Seattle / Bothell, WA office. ACCOMMODATIONS Reasonable accommodations may be made to enable people with disabilities to perform the essential functions of the job

Job Description As a Principal Embedded Software Engineer, you'll play a pivotal role in the development and enhancement of the software that powers our robotic lifting solutions. You'll collaborate with cross-functional teams, contribute to the design and implementation of critical software components, and ensure the reliability and performance of our systems. This position is a hybrid role with 3-4 days/week in Somerville, MA. Why This Role Matters As a pivotal member of the RISE Robotics Engineering organization, your contributions will shape the future of our company, spearheading the engineering effort to implement electronic controls of truly massive machines. Our dynamic and expanding team is ready to embrace your talent and ideas as we work together to redefine the way we operate. If you're passionate about motion control technology and thrive in a fast-paced, innovative environment, we want you to be a part of our journey. Join us and make your mark on the world of embedded software engineering! Key Responsibilities • Embedded Software Development: Design, develop, and maintain embedded software for our robotic lift systems, ensuring performance, reliability, and safety., • System Integration: Collaborate with hardware engineers to integrate software with the RISE platform's electrical and mechanical components., • Algorithm Development: Create and optimize control algorithms for precise and efficient robotic lifting operations., • Real-time Systems: Develop and implement software for real-time control, feedback systems, and sensor integration., • Testing and Debugging: Conduct thorough testing of software to identify and resolve issues, ensuring reliable and robust operation., • Documentation: Maintain comprehensive documentation for software design, development, and testing processes., • 5+ years of electromechanical product software development in C, C++, and Python, • Experience with controls, brushless DC motors, and motion control systems, • Demonstrated ability to operate independently, executing on requirements to produce robust and well-documented software modules, • Familiarity with common embedded communications interfaces: CAN, SPI, I2C, UART, • Competitive compensation package, • Equity!, • Blue Cross Blue Shield Health insurance, • Dental, Life, and Disability insurance, • 401(k) program, • PTO and office holidays, • Flexible/hybrid work options, • Weekly {free} lunch, • Free parking/T accessible, • Located in Union Square RISE Robotics is an equal-opportunity employer that values diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply.

Job Description As Embedded Software Engineer, you will develop and optimize software for microcontroller-based sensor hardware while working on embedded software solutions within the constraints of limited hardware resources. Responsibilities: • Reduce memory usage by 20% while maintaining or improving functionality, enabling the addition of new features without hardware upgrades., • Design and implement power-efficient software solutions to extend device battery life., • Develop robust communication protocols for data transmission between devices and back-end systems., • Develop and maintain software for microcontroller-based sensor hardware, • Optimize code for efficient operation within limited RAM and code space, • Implement over-the-air firmware upgrades and manage secure storage, • Design software architecture for efficient data collection from various sensors, • Ensure seamless communication with back-end systems and nearby devices, • Measure and analyze key metrics, such as power consumption, • Collaborate with cross-functional teams to align technical solutions with product requirements, • Write and execute tests to validate software functionality and performance Qualifications: • Bachelor's degree in Computer Science or related field, or equivalent experience, • 6+ years of experience in embedded software development, • Proficiency in C and Python programming, • Experience with microcontroller-based sensor hardware, • Knowledge of systems software issues and hardware-software interfaces, • Familiarity with Linux command-line and git version control, • Experience with wireless technologies (Bluetooth, LTE) preferred, • Knowledge of low-power design and performance measurement a plus

Job Description Embedded Software Engineer Check out and join our energetic team at Sense! We’re a VC-backed, post-Series C climate tech company entering our next stage of growth. We’re located in Central Square, and passionate about our mission! This is a great opportunity to work with a team of experienced entrepreneurs creating technology that will really make a difference in the world. Our mission is to reduce global carbon emissions by empowering people and utilities with the knowledge and solutions required to shape a brighter, cleaner future. We build smart home monitoring software and systems to help people take command of their energy usage, saving money while combating climate change. With our focus on making an impact at scale with our partnerships in the utility industry, we’re contributing to grid modernization, by delivering real-time intelligence directly through next-generation smart meters, offering high-resolution insights that improve energy management. You’ll be working on our B2B utility applications, primarily on software that runs on meters and utility hardware. And, if you’re part of engineering at Sense, you’ll have a close connection to our broader platform and systems, so if you have an interest and ability to work across both macro- and micro-level views, this could be the team for you! We’re looking for talented self-starters who want to be part of the energy transformation and are ready, willing, and able to tackle tough challenges and complex technical problems. When you join the Sense team, you’re helping us build a cleaner, more resilient future. Expected Responsibilities • Design, develop, test, and maintain our embedded grid-edge applications for resource-constrained systems., • Contribute to our software running on smart meters, • Collaborate with our hardware, mobile, platform, QA, and product teams to create end-to-end solutions for our customers., • Participate in our embedded systems guild to follow best practices, improve team processes, and assist others as needed., • As a fast-moving and agile company, you should expect to be involved in a number of different projects and should be comfortable with shifting priorities as the need arises. Requirements Requirements and key skills The ideal candidate will have experience with the following: • 5+ years of professional experience in embedded systems programming, Linux, and relevant languages, • Development experience with compiled languages (e.g. Rust, Java, or C) and interpreted languages (e.g. Python, or shell) for Linux systems, • Experience with networking, networking security, and network protocols, • Low-level design experience, • Experience with embedded Linux on GHz-class ARM SoCs, • Experience with ML on resource-constrained systems is a plus, • Self-motivated and inquisitive style. The problems we solve aren't listed on Stack Overflow. You should enjoy digging deep to find solutions., • Degree in a relevant field or equivalent practical experience, • Authorized to work in the US This position follows a hybrid work model, requiring regular presence in the office and increased on-site attendance as dictated by project needs, at our Cambridge, MA office. You may be interfacing with our on-site hardware team as well as working directly with our product team to develop new user-facing features. To be successful in this role, you should love working from a very low level all the way up to the user experience, and everything in between. We are a team of generalists, which means that we believe your previous experience is valuable, even if it's not directly related to this role's requirements. Impress us with your ability to thrive in an environment where you are challenged to learn new skills and solve difficult problems. Benefits • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Short Term & Long Term Disability, • Training & Development, • Work From Home, • Free Food & Snacks, • Wellness Resources, • Stock Option Plan, • Salary Range: $150,000 - $170,000

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job DescriptionOverview We’re looking for a Senior Principal AI Engineer to provide hands-on technical leadership across complex, production-grade AI systems. This role is for a builder-architect—someone who has repeatedly taken AI systems from idea to production, understands where they fail at scale, and knows how to unblock teams to move faster without sacrificing outcomes. This is not a pure strategy or people-management role. It is a deeply technical builder role with organizational impact. You will define technical direction by writing code, designing systems, and helping the organization stay in builder mode as complexity and scale increase.What You’ll Do • Architect and build end-to-end AI systems including LLM orchestration, retrieval layers, agentic workflows, and structured reasoning systems, • Lead the design of multi-agent and tool-calling systems that operate reliably in production, • Establish and evolve architecture patterns for scalable, cost-aware, and observable AI applications, • Drive technical decisions across data modeling, AI pipelines, infrastructure, and APIs, • Define best practices for evaluation, monitoring, and governance of AI systems in production, • Mentor senior engineers through design reviews, code reviews, and system-level debugging, • Translate ambiguous business and domain problems into clear technical strategies, • Stay ahead of emerging AI techniques and integrate what matters—without chasing hypeCore Skills & Experience, • 12+ years of software engineering experience, with deep hands-on experience building AI/ML systems in production, • Strong proficiency in TypeScript, React, Go, Python and modern AI frameworks, • Extensive experience with LLMs, including RAG, tool use, prompt systems, and agentic architectures, • Proven ability to design and ship large-scale AI systems that run reliably in real-world environments, • Strong architectural judgment across data systems, AI models, infrastructure, and application layers, • Deep understanding of AI failure modes: hallucination, drift, brittleness, latency, and cost blowups, • Excellent communication skills—able to explain technical tradeoffs to both technical and non-technical audiences, • Track record of shipping systems end-to-end, not just prototypes or research workBuilder Mentality (This Is Core to the Role), • We are explicitly looking for builders., • By “builder,” we mean an operating mode, not a title.Builders:, • Bias toward systems that solve user needs, not perfect abstractions, • Move comfortably from ambiguity → first draft → iteration → production, • Optimize for learning velocity and customer impact, not theoretical completeness, • Are willing to build the entire arc of a system to surface real constraints early, • Treat quality as something you earn through iteration, not something you gate progress with, • Understand that the last 10–20% of a system—integration, edge cases, UX, usability, reliability—is where real work happensAt the Principal level, being a builder also means:, • Helping the organization stay in builder mode as it grows, • Collapsing unnecessary complexity rather than introducing more process, • Knowing when architectural rigor matters, and when it is premature, • Pulling promising work across the finish line instead of waiting for “perfect readiness”, • Modeling speed, ownership, and clarity for other senior engineers, • Your impact is measured not only by what you build, but by how much faster and more effectively others can build because of you.Preferred Experience (Domain-Flexible Specialties), • Knowledge graph architecture, ontology design, or semantic modeling in complex domains, • Graph databases, graph query languages, or graph ML techniques, • Hybrid systems combining structured reasoning with LLM-based approaches, • Entity resolution, schema alignment, or knowledge fusion at scale, • AI systems requiring explainability, auditability, or lineage tracking, • Experience building AI systems in regulated or high-stakes domains (finance, healthcare, legal, government), • MLOps, evaluation infrastructure, or long-running AI services operating at scaleWhat You’ll Love, • Owning the technical direction of real AI systems that make it into production, • Solving hard, ambiguous problems where architecture and execution matter equally, • Leading through hands-on building, not layers of process, • Working in an environment that values shipping, learning, and iteration over perfection

Job Description Life at Plume At Plume, we believe that technology isn't about moving faster, it's about making life's moments better. Which is why we've built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale. We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We're expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can't do it exceptionally well, we don't do it. It's how we've assembled a team of world-class builders, thinkers, and doers. And it's how we're reinventing what's possible every day. About the Role Plume's Core Engineering team is looking for a Senior Wireless Firmware Engineer with deep expertise in WiFi driver development to lead innovation for large-scale WiFi and broadband solutions. You will work across embedded firmware, wireless drivers, and system-level software to enable high-performance, scalable, and reliable WiFi experiences. This is a high-impact senior role where you will lead complex initiatives in wireless networking, performance optimization, and large-scale deployments, while mentoring other engineers and influencing system architecture. What You'll Do • Lead design and development of WiFi firmware and driver architecture for next-generation wireless platforms, • Own critical components of the WiFi stack and drive technical direction across projects, • Mentor junior engineers and provide technical guidance across firmware and driver domains, • Design, develop, and optimize WiFi firmware and low-level wireless drivers, • Work on IEEE 802.11 stack (WiFi 4/5/6/6E/7), including MAC/PHY layers, • Debug and optimize WiFi drivers with chipset/SoC vendors, • Analyze network behavior and improve performance (throughput, latency, reliability), • Participate in full software lifecycle: design, development, testing, deployment, and support, • Troubleshoot complex system-level issues across firmware, drivers, and networking stacks Required Qualifications • BS/MS/PhD in Computer Science, Electrical Engineering, or related field, • 8+ years of experience in embedded systems, firmware, or driver development, • Proven experience leading complex technical projects end-to-end, • Strong expertise in C/C++, • Deep experience with WiFi driver development at chipset/SoC level, • Strong understanding of Linux kernel and networking stack, • Deep knowledge of IEEE 802.11 MAC and PHY layers, • Experience with OpenWRT, RDK, or OpenSync, • Strong debugging and performance optimization skills Preferred Qualifications • Experience with Broadcom, Qualcomm, or MediaTek WiFi chipsets, • Experience with mesh networking and large-scale deployments, • Knowledge of MU-MIMO, OFDMA, beamforming, WiFi 7, • Python or scripting for automation, • Familiarity with cloud-managed networking systems What You Bring • Strong ownership and leadership mindset, • Ability to solve complex, ambiguous problems, • Experience mentoring engineers, • Excellent communication and collaboration skills, • Passion for building high-performance wireless systems This role requires someone to reside in EST. Unfortunately, we are not offering sponsorship at this time. The total compensation package would include an anticipated compensation range of $140,000.00 - $150,000.00, plus bonus, equity, and benefits. Benefits include: a 401 (k) plan and a company match, basic life insurance, plus unparalleled health, dental, vision, and other benefits and perks. An employee's base salary and its position within the range may depend on several factors, including job-related knowledge, education, skills, experience, and other business-related considerations. Published ranges are provided in good faith at the time of posting. About Plume As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world's largest such as Comcast, Charter, Liberty Global, and J:COM. Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume's software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture. Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.

Job Description America’s Test Kitchen is seeking a high-impact Senior Software Engineer to help build and scale our world-class digital platforms. In this role, you will be a key contributor to our engineering team, responsible for designing, building, and maintaining complex features across our MarTech stack and ecosystem. The successful candidate is a seasoned developer who balances deep technical expertise with a pragmatic approach to problem-solving. You aren’t just writing code; you are ensuring technical excellence, mentoring fellow engineers, and helping us deliver a seamless digital experience to millions of home cooks. This position reports to the VP, Engineering. Core Responsibilities Technical Execution & Delivery: • Feature Ownership: Lead the development of complex, high-traffic features from concept to deployment, ensuring they are scalable, secure, and performant, • Hands-on Development: Write clean, well-tested, and maintainable code across the full stack, setting a high bar for quality within the team, • Code Quality: Participate in and lead rigorous code reviews, providing constructive feedback to maintain high engineering standards, • Solution Design: Collaborate with product managers and architects to design robust solutions for our CMS, subscription billing, and MarTech integrations, • Best Practices: Champion modern engineering practices, including CI/CD, automated testing, and comprehensive documentation, • Mentorship: Act as a technical resource for mid-level and junior developers, helping them grow their skills and navigate complex technical challenges without the tax of formal people management responsibilities, • Professional Experience: 6+ years of hands-on software development experience in a product-driven environment, • Core Stack: Expert-level proficiency in Node.js, React, and Python. Familiarity with Java is a significant plus, • Cloud & DevOps: Strong experience with AWS services, containerization (Docker/Kubernetes), and modern CI/CD pipelines Problem Solving & Communication: • Analytical Thinking: Ability to debug complex, distributed systems and provide long-term solutions rather than quick fixes, • Communication: Ability to explain technical trade-offs and architectural decisions to both technical teammates and non-technical stakeholders, • Execution Mindset: Proven track record of delivering high-quality software on time in an agile environmentQualifications, • Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience, • Proven experience working on high-traffic, customer-facing web applications Salary Range: $130,000 to $150,000 The range provided is based on what we reasonably expect to pay for this job as of the time of posting. The actual salary offered will be determined based on multiple factors, including but not limited to the candidate’s relevant experience, job-related knowledge, skills, geographical location, and other job-related factors permitted by law. Why You’ll Love Working in this Role • Build products used by millions of passionate home cooks, • Work on a modern, evolving tech stack with real-world scale and complexity, • Have meaningful influence on technical decisions without people-management overhead, • Collaborate with thoughtful, mission-driven teammates across engineering, product, data, and marketing The mission of America's Test Kitchen (ATK) is to empower and inspire confidence, community, and creativity in the kitchen. Founded in 1992, the company is the leading multimedia cooking resource serving millions of fans with TV shows (America's Test Kitchen, Cook's Country, and America's Test Kitchen: The Next Generation), a magazine (Cook's Illustrated), cookbooks, FAST channels, short-form video series, and the ATK Essential Membership for digital content. Based in a state-of-the-art 15,000-square-foot test kitchen in Boston's Seaport District, ATK has earned the trust of home cooks and culinary experts alike thanks to its one-of-a-kind processes and best-in-class techniques. Fifty full-time (admittedly very meticulous) test cooks, editors, and product testers spend their days tweaking every variable to find the very best recipes, equipment, ingredients, and techniques. Learn more at . Why America's Test Kitchen: We're passionate about cooking, and about creating the best place to work. We're small enough for your ideas to make a big impact, and large enough to offer you opportunities to grow professionally at any stage of your career. We want you to take risks and make mistakes — that's how innovation happens in our test kitchen, in our offices, and in life. We at America's Test Kitchen believe food media can be a powerful force for social change. We are passionate about building an inclusive workforce that represents many different cultures, backgrounds, abilities, identities, and perspectives. We welcome your application.

Job DescriptionThe CompanyTutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built in our lifetimes, and we’re combining human and artificial intelligence to lead the charge. As an AI software company who deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy. The RoleAre you tired of writing incremental code for massive CRUD web apps? Do you want to architect and build systems from the ground up that affect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write impacts the foundation of the global economy, solving the core technical challenges in robotics and automation at scale. Lever As a Staff Robotics Software Engineer, you will lead design and implementation of critical robotics software across motion planning, real-time control, perception and optimization systems, tooling, and robot infrastructure. You will influence technical direction, mentor other engineers, drive system architecture across the stack from embedded to cloud, and champion best practices in software and robotics engineering. Requirements • Exceptional programming skills with deep experience across multiple languages and systems., • Track record of designing and owning large, complex software systems., • Experience leading technical projects and mentoring engineers., • Comfortable working across the stack from low-level robot control to cloud services., • Natural collaborator, strong communicator, and excited to solve hard problems that bridge software and robotics.Nice to haves (zero or more), • Proven experience with Python, C++, ROS, or other robotics frameworks., • Experience with manipulation, motion planning, optimization, or perception., • Experience with infra/dev tools (Docker, Kubernetes) and CI/CD., • Background in hardware/software integration and real-time systems., • Experience scaling robotics systems in production environments.All offers include generous equity, fully covered health + dental, and unlimited PTO.

Job DescriptionFieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. FieldAI is seeking passionate engineers to play a vital role in the development of multi-robot simulation and fleet orchestration. You will work with a focused team in a fast-paced environment to build simulation environments where robots operate, coordinate, and adapt together in realistic scenes, enabling the company to develop and validate fleet orchestration strategies at scale before deployment. The ideal candidate will have a solid understanding of robotics simulation and multiagent fundamentals along with the practical skills to deliver high-quality, maintainable code on a small, focused team.What You Will Get To Do • Architect high-fidelity multi-robot simulation scenes (terrain, sensors, dynamic obstacles) and scale from single-agent tests to fleet scenarios., • Integrate physics, perception, and comms models so agents behave realistically at fleet scale., • Implement and evaluate fleet-level task allocation, coordination, and planning inside simulation., • Build declarative mission tooling to run thousands of orchestration experiments and profile performance across latency, heterogeneity, and environment complexity., • Calibrate simulation to real-world telemetry with field teams and reduce the sim-to-real gap., • Build domain randomization, scenario generation, and automated regression/benchmark gates for fleet orchestration releases., • Design logging, metrics, and visualization so every run yields actionable data and fleet KPIs (throughput, collisions, comms overhead, idle time)., • Maintain reproducible experiment infrastructure with versioned scenes, configs, and results., • Partner with perception, planning, learning, DevOps, and infrastructure teams to run large-scale simulation and raise standards for fidelity, coverage, and release quality.What You Bring, • MS or PhD in Computer Science, Robotics, Aerospace, or a related field (or equivalent industry experience)., • 7+ years hands-on experience building simulation environments for robotics or autonomous systems., • Proficiency in Python and C++; comfort reading and extending large codebases., • Working knowledge of robotics simulation engines (e.g., MuJoCo, NVIDIA Isaac Sim, Genesis)., • Experience with multi-robot or multi-agent systems: task allocation, distributed planning, swarm coordination, or fleet management., • Familiarity with standard robotics middleware., • Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams., • Ability to translate research into practical, field-deployable systems.What Will Set You Apart, • Publications or open-source contributions in multiagent systems, multi-robot planning, or fleet coordination (ICRA, RSS, IROS, AAMAS, CoRL)., • Experience with domain randomization, synthetic data generation, or sim-to-real transfer at scale., • Background in distributed systems or cloud-based simulation orchestration.

Job Description Job Title Principal Software Engineer - Python AI Pipelines Overview We are looking for an experienced software engineer to help us build a new generation of transpilation tools enabled by AI and modern verification techniques that promises to bridge the gap between algorithm development and deployment to embedded systems. In this role you will play a lead role in architecting and implementing novel code generation pipelines that use a mix of Generative AI, Static Analysis and Formal Verification methods to translate code written in one language to another. Requirements Responsibilities ● Define Software Architecture for Agentic AI pipelines. Architect and implement complex workflows involving state machines, message queues, and distributed processing. ● Deploy and manage containerized services using Docker. ● Build well tested extensible code foundations for code translation products. ● Collaborate with domain specialists to incorporate formal verification and static analysis methods into code generation pipeline. ● Work with cloud services and distributed architectures to ensure high availability. Must Have ● Seven or more years of experience with collaborative enterprise-level software development in Python to deliver products to a large customer base ● Demonstrated experience gathering requirements from stakeholders and distilling them into software designs ● Demonstrated experience planning and executing on large projects in a team-based setting ● Demonstrated history of building and delivering robust software by employing best practices throughout the SDLC process, including Code review, Testing, Continuous integration, Release management and Build systems ● Experience with Machine Learning Tools and Frameworks ● Expertise in building scalable APIs (REST, GraphQL, gRPC). ● Hands-on experience with Docker and containerized application development. Great to Have ● Strong experience with workflow orchestration, state machines, and message queues (e.g., RabbitMQ, Kafka, Redis, Celery). ● Familiarity with PromptFlow or similar workflow automation tools. ● Experience working with cloud-based distributed systems (AWS, GCP, Azure).