Embedded Sw Engineer Jobs

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale. Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same. The Role At Square, we’re re-imagining how mid-market businesses grow. As an Account Executive on our Mid-Market Team, you’ll bring Square’s ecosystem to new sellers across diverse industries by building, shaping, and closing your own pipeline. You’ll run sophisticated, multi-product deals from the first touch to final close — blending hunter instincts, consultative depth, and strategic execution. If you’re an experienced closer who thrives in outbound environments, loves solving meaningful business challenges, and consistently delivers against ambitious targets — this is your role. You Will Own the full outbound sales cycle — from prospecting to negotiation to close — with mid-market merchants. Build

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What Yo

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What Yo

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Perk Flex your schedule. Work from home up to 2 days a week with our hybrid policy. Level up. Self-service Learning & Dev platform and unlimited access to AI tools. Stay active. Gympass gives you access to 3,000+ sports and wellness partners. Eat well. Lunch card, 50% on us. Get around. 50% of the cost of your public transportation pass is covered. Enjoy the rest. Team events, snacks, and beverages. Take time off. 1 paid day off per month, no questions asked. Be yourself. An inclusive, supportive environment where everyone belongs. At Qonto, we unde

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role Supabase manages millions of Postgres instances and is growing. We have strong teams across observability, release engineering, and incident management — and we're concentrating our reliability efforts into a dedicated SRE practice that ties the discipline together across the platform. You'll be embedded within Service Operations, and your primary job is to make every engineering team more reliable — not by owning their infrastructure, but by establishing the practices, frameworks, and feedback loops that let them own reliability themselves. You'll work across the org: sometimes setting the standard, sometimes pair-programming a fix, sometimes helping a team define their error budget, sometimes telling them it's exhausted. This role is ideal for someone who has a strong vision for how SRE should work and thrives in async, fast-paced environments where influence matters more than authority. What You'll Own Partner with service teams to define meaningful SLIs and SLOs grounded in customer experience, and build the error budget policies that turn them into engineering decisions Own and evolve the Operational Readiness Review (ORR) process — conducting reviews for new services and major changes across observability, alerting, runbooks, capacity, and graceful degradation Strengthen the incident-to-improvement pipeline: connecting postmortem findings to operational readiness gaps, identifying repeat failure patterns, and driving systemic fixes Act as the reliability expert teams pull in for architecture reviews, failure mode analysis, dependency mapping, and resilience design Identify and quantify operational toil across the org, and build or advocate for automation that eliminates it

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Desig

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Desig

Citi's Investor Services Technology group is seeking an exceptional Software Engineer to join as a hands-on technical leader building the Investor Services Workbench (ISW) — Citi's unified platform for client onboarding, lifecycle management, operational workflow orchestration, and real-time business activity visibility across Custody, Fund Services, and Securities Finance. This is an E ngineering role first . The right candidate uses AI-assisted development tools to write production ready code and ships features on a continuous cadence. You will be embedded within ISW delivery squads, contributing directly to backend services, workflow engines, API layers, and client-facing features, while also serving as a domain authority who ensures the platform is built on a sound understanding of Custody and Fund Services operations. You will collaborate closely with product owners, UX engineers, data architects, and operations SMEs. Your code, your reviews, and your domain knowledge will directly shape how institutional clients and Citi operations teams experience the Workbench. Responsibilities: Hands-On Feature Delivery Design, develop, test, and ship production-quality features across the ISW backend (Java/Spring Boot) and frontend (React/TypeScript) — contributing to every sprint with meaningful, reviewed, merged code. AI-Augmented Development Use AI pair-programming tools (GitHub Copilot, Cursor, Claude) as a first-class part of your daily workflow — for code generation, test synthesis, refactoring, documentation, and API design acceleration. Champion adoption across squads. Domain Translation Apply deep Custody and Fund Services domain knowledge to translate business requirements into technically precise, implementation-ready specifications —

Digital Electronics Circuit & Unit Hardware Design Engineer (Lead or Senior) Company: The Boeing Company oeing Space, Intelligence & Weapons Systems has an exciting opportunity for Digital Electronics Circuit & Unit Hardware Design Engineer (Lead or Senior) to join us as part of our Space Digital Products & Electronics team located in El Segundo, CA. Are you passionate about crafting the digital heart of communication satellites? We are seeking Digital Electronics Circuit and Unit Hardware Design Engineers who thrive on developing cutting-edge digital solutions. In this role, you will be at the forefront of designing and implementing the digital circuitry that drives satellite functionality. Your expertise in digital signal processing, data communication, digital control systems, and embedded systems will be instrumental in shaping the future of satellite technology. Collaborating with cross-functional teams, you'll ensure seamless integration of digital components, enabling efficient data processing and communication within the satellite. If you are an engineer at heart with a love for all things digital, this is your opportunity to make a significant impact on the world of space technology. What sets our work-site apart is the unique work experience and collaborative environment we offer. We are truly cradle-to-grave in most aspects of satellite development, with an on-site satellite factory and all our electronics teams co-located on the same worksite. This proximity fosters high collaboration between teams and ensures seamless communication. With a factory just downstairs, we have the capability to turn concepts into reality right on-site. Moreover, we provide an abundance of tools, resources, and a comprehensive d

Computer Systems Engineer – Space Payload Emulators – (Experienced or Lead) Company: The Boeing Company Boeing Defense, Space, & Security (BDS) is seeking Computer Systems Engineer – Space Payload Emulators to join the team located in El Segundo, California . As a Computer Systems Engineer , you will support the development and integration of space payload emulators in El Segundo, CA. In support of Boeing Defense Systems next-generation space programs, this role focuses on hands-on hardware/software development for embedded systems (Xilinx SoC/FPGA) and front-end UI/UX control interfaces. This position is tailored for an engineer who thrives in a hands-on lab environment , working side-by-side with multidisciplinary teams (hardware, firmware, software, and test engineers) to bring up hardware, integrate software/logic, and build intuitive emulator interfaces. Position Responsibilities: Embedded Software & FPGA Platform Integration Develop, configure, and maintain embedded software and firmware on Xilinx SoC platforms (Zynq UltraScale+, Versal). Implement and debug Processing System to Programmable Logic (PS/PL) interfaces, AXI interconnects, and memory maps. Develop and validate Board Support Packages (BSP), PetaLinux/embedded Linux distributions, device drivers, and low-level communication interfaces (PCIe, Ethernet, SPI, I2C, UART). Lead hands-on board bring-up, hardware/software integration, and system-level debugging in a lab environment using oscilloscopes, logic analyzers, and protocol analyzers. Front-End GUI & Operator Interface Development Design and implement responsive, reliable front-end graphical user interfa

Become a part of our caring community Humana is committed to helping people achieve their best health by delivering innovative technology solutions that power exceptional member, provider, and associate experiences. The Director, Enterprise Quality Methodologies, Governance & Enablement will lead the definition, governance, and enterprise adoption of quality engineering standards, methodologies, compliance alignment, quality intelligence, AI-enabled engineering practices, and transformation enablement. This leader will establish “what good looks like” for Quality Engineering across Humana’s software delivery ecosystem and ensure quality practices are consistently embedded across the SDLC, Agile ways of working, engineering platforms, DevOps governance routines, and responsible use of AI-enabled capabilities. This role will partner closely with Quality Engineering, Enterprise Engineering Enablement, Agile Office, Product, Engineering, Architecture, Cybersecurity, Risk, Compliance, Audit, Data and AI teams, and segment technology teams to mature enterprise quality practices, strengthen governance frameworks, enable platform adoption, and improve quality outcomes across the organization. Key Responsibilities Enterprise Quality Strategy, Policy, and Standards Define and evolve the enterprise Quality Engineering strategy, standards, methodologies, and operating procedures across software delivery teams. Establish SDLC quality standards, policies, and practical guidance that embed quality earlier and more consistently across planning, development, te

Comms & Sensor Systems Engineer/Scientist Company: The Boeing Company Boeing Defense, Space and Security (BDS), Phantom Works is seeking a Comms & Sensor Systems Engineer/Scientist to join the Phantom Works Special Technology Integration team in Mesa, AZ . The successful candidate should have a working knowledge of electromagnetic systems, components, and applied physics; have significant knowledge and experience with implementing real-time embedded hardware, firmware, and software; have strong analytical skills, knowledge, and proficiency with physical modeling and simulation tools; and knowledge of advanced math and system modeling principles as applied to aerospace and electrophysical analysis. Position Responsibilities: Interpret highly dynamic or uncertain requirements to develop flexible embedded hardware and software systems within aggressive program schedules and budgets Remain application and product focused while simultaneously executing multiple technical aspects of vertically integrated designs Balance systems/software engineering best practices with cost, schedule, and system performance requirements Apply systems-level thinking and agile design practices to advance embedded system architectures Perform control system logic/algorithm, hardware, and software development tasks Provide end-to-end systems integration, test, and field support Work under experienced electrophysics engineer/scientists, software, and hardware engineers in a fast-paced, dynamic environment Take ownership of tasking from start to finish and demonstrate consistent initiative with ambiguous or unclear assignments Mainta

Citi's Investor Services Technology group is seeking a technically exceptional and domain-savvy Data Architect to serve as the definitive data architecture authority across the Investor Services (IS) program — spanning Custody, Fund Administration, and Securities Finance. This is explicitly a hands-on architect role . The successful candidate will be expected to write, review, and validate architecture artifacts, data models, canonical schemas, and technical standards. You will be embedded with delivery teams, working directly with business analysts, data engineers, and technology leads to produce production-quality data architecture outputs that the entire IS program depends on. You will also lead the design and delivery of a suite of data architecture utilities — reusable tooling, accelerators, and automation that dramatically compress the time to deliver consistent, standards-compliant data integrations across Investor Services platforms. This role is a rare opportunity to set the data foundations for one of the most complex and consequential technology transformation programs in global financial services. Deep Custody and/or Fund Services domain knowledge is a prerequisite, not a preference. Responsibilities: Da ta Architecture Principles & Standards Define, document, and own the Investor Services data publication architecture principles — governing data modelling standards, naming conventions, versioning strategies, API data contracts, and data quality rules across all IS technology domains. Architecture Pattern Standardization Work with delivery leads across all 50+ IS platforms to define, document, and enforce standardized architecture patterns for data generation, transformation, and consumption — covering batch, near-real-time,

Job Title Associate Data Scientist Job Description Job Responsibilities: Someone who can design, build, and fine-tune Generative AI models (LLMs, vision-language models, diffusion models) for product use cases Hands on expertise in Large Language Models and prompt engineering RAG architectures, vector databases, embeddings Experiment tracking tools (MLflow, Weights & Biases) Traditional ML/DL techniques Work with structured and unstructured datasets (images, text) Collaborate with engineering teams to integrate AI models into production systems and embedded/edge environments Minimum required Education: Bachelor's / Master's Degree in Information Management, Information Systems, Computer Science, Data Analytics, Data Science or equivalent. Minimum required Experience: Minimum 7 years of experience with Bachelor's OR Minimum 5 years of experience with Master's in areas such as Data Analytics, Data Modeling or equivalent. Preferred Skills: • Data Science • Data Analysis & Interpretation • Data Designing • Python • GenAI frameworks(LangChain, LangGraph) • Vector Databases • Machine Learning Engineering Fundamentals • Statistical Methods • Statistical Programming Software • Research & Analysis • Structured Query Language (SQL) • Regulatory Compliance How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ At Qonto, we understand that true diversity isn’t just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick — who knows? You may have the missing piece of the puzzle we’ve been searching for all along. By applying, you agree that Qonto processes your personal data to assess your application. Your data is kept for up to 2 years in our candidate pool. Read our Privacy Notice for full details. ------------------------------------------------------------------------------------------------------ On average, our hiring process lasts 20 working days. More information on our candidate journey here ------------------------------------------------------------------------------------------------------ 🔒 Your security matters to us Rec