Role Description We are seeking a meticulous and highly analytical Design Verification Engineer to join our distributed engineering team. In this role, you will be responsible for ensuring the structural integrity, functionality, and performance of our hardware/system designs through rigorous testing and automated validation frameworks. - Test Strategy & Execution: Develop, execute, and refine comprehensive test plans and procedures to verify that designs meet all functional and performance specifications. - Defect Management: Proactively identify, document, and track design defects. Collaborate closely with designers and stakeholders to drive issues to resolution. - Data Analysis: Analyze complex test results and datasets to uncover patterns or trends, providing actionable recommendations for design optimization. - Automation & Tooling: Design and implement automated test scripts and scalable test frameworks to maximize verification efficiency and coverage. - Cross-functional Collaboration: Partner with engineering teams to ensure all requirements are fully validated and that designs are implemented correctly in downstream departments. - Documentation & Compliance: Create and maintain high-quality technical documentation, including traceability matrices, test reports, and verification plans. - Design Influence: Participate in design reviews, offering expert feedback on requirements and ensuring "design-for-testability" (DFT) principles are met. - Hardware Description & Verification Languages: Extensive experience with SystemVerilog and UVM (Universal Verification Methodology) is required. Proficiency in Verilog or VHDL for design understanding. - Scripting & Automation: Strong command of Python, Perl, or Tcl for developing automated test scripts and maintaining CI/CD pipelines. - Simulation & Debugging: Proficiency with industry-standard EDA tools (e.g., Synopsys VCS, Cadence Xcelium, or Siemens Questa). Expertise in debugging using Verdi or similar waveform viewers. - Verification Techniques: Experience with constrained-random verification, assertion-based verification (SVA), and functional coverage (code and covergroups). - Protocol Knowledge: Familiarity with high-speed interface protocols such as PCIe, AMBA (AXI/AHB), USB, or DDR. Qualifications - Extensive experience with SystemVerilog and UVM. - Proficiency in Verilog or VHDL. - Strong command of Python, Perl, or Tcl. - Proficiency with industry-standard EDA tools. - Experience with constrained-random verification and assertion-based verification. - Familiarity with high-speed interface protocols. Requirements - Meticulous and highly analytical mindset. - Ability to develop and execute comprehensive test plans. - Strong collaboration skills with engineering teams. - Expertise in debugging and simulation tools.

Lead Software Engineer, Full Stack - Shopping (Remote) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One Shopping, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking a Lead Software Engineer who is passionate about marrying data with emerging technologies. As a Lead Full Stack Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One Shopping. What You'll Do: - Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company - Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community - Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment - Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: - Bachelor's Degree - At least 4 years of experience in software engineering (Internship experience does not apply) - At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: - Master's Degree - 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go - 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service - 4+ years of experience in open source frameworks - 1+ years of people management experience - 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $179,400 - $204,700 for Lead Software Engineer McLean, VA: $197,300 - $225,100 for Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

⛰️ About Northslope The generational companies of the next century will run on mission-specific AI software that compounds their competitive advantage, not commoditized SaaS. We purpose-build production AI applications that enable our customers to operate at the speed, scale, and margins of an enterprise software company, in any industry. We're building something fundamentally different: software that's as adaptable as the businesses it serves, created by engineers who understand both code and customer. 🛠️ The Role As a Forward Deployed Software Engineer at Northslope, you will be responsible for helping our customers solve their most valuable problems, working closely with stakeholders to conceive, architect, build, and maintain applications that make a measurable impact on their business. Day to day, you’ll understand a customer’s most critical objectives and build operationalized workflows on their enterprise data that end users actually use to make change within the business. You’ll iterate quickly, build from scratch, and help organizations transform their operations at uncommon speed. As a Forward Deployed Engineer, you won’t just ship code - you’ll help reshape how entire organizations work by putting powerful tools in the hands of executives and real operators. 🎯 What We're Looking For - An obsession with helping your customer win, even when it goes beyond the original “scope”. You eat hard customer problems for breakfast and take pride in delivering solutions that actually drive value. - Strong analytical abilities and problem-solving aptitude. You love breaking down complex problems and building end-to-end solutions that actually work. - Proficiency in Python and/or Typescript. We build in these languages everyday. - Ability to work independently and own outcomes autonomously. You'll always have support, but we're looking for teammates who want to be in the driver's seat and fully own their work. - Demonstrated ability to build applications that use large structured and unstructured datasets in a production environment. We take a customer's data and make it valuable to them - this is our bread and butter. - A track record of delivering real-world outcomes with code. As a software engineer, data scientist, or deeply technical analytics lead, you've helped an organization up its game through the software you've written and/or the analytical products you've built. - Strong ability to collaborate with internal and external teammates with varying levels of technical proficiency. We embed with our customers and join their teams, you'll need both technical and people skills to succeed. - Willingness to travel as-needed for client implementation work. Every project is different, but typically projects involve travel 10-33% of the time. - Enthusiasm for working hybrid-in-person at our London or New York hub offices and onsite with our customers. 🔍 Preferred but not required to be successful - A bachelor's or masters degree in Computer Science - Experience with Palantir Foundry and/or AIP - Experience delivering production ML and/or LLM-based solutions - Experience delivering production frontend applications in React - Experience with Spark and distributed compute. 💛 What We Offer - Competitive base salary + equity in the form of stock options - Comprehensive benefits package - Flexible hybrid work environment - The opportunity to build solutions, systems, and software from the ground up as we scale - A small, tight-knit team where your contributions directly impacts our ability to execute on our mission - Occasional travel (less than 10% of your time) for company off-sites where you'll connect with teams across our New York and London hubs 🛸 Our Principles - Only Valuable Problems: Not every problem is worth solving. We work on the projects that will significantly improve our customers' bottom lines. - Outcomes, Not Activity: We create value, not extract it. We focus on our business impact, not racking up billable hours. - Forward Deployed Engineering: We never build in a vacuum. We go to the heart of the problem and build alongside our users. - One size fits none. Generic software fails the most important customers. We build for the specific — the exact industry, workflow, data, and competitive context of the company we're serving. 🚠 Why Northslope At Northslope, we're built different. We take pride in being more like a product startup than a traditional services firm. We value velocity, ingenuity, and grit, and we relentlessly focus on delivering tangible outcomes for our customers. We also have fun. We get to work on big, hard problems, in a fast-paced environment, alongside sharp yet kind teammates who help us continuously grow and delight in one another's successes. We offer full benefits and all the perks you'd expect of a modern tech startup, and are a distributed global team with hubs in London, New York, and UAE. 📬 We hope you’re excited to join us and look forward to speaking with you soon. Northslope is committed to building a strong, diverse team. We believe teams with a diversity of lived experience, background, and perspectives create better outcomes for our customers and are just more enjoyable to be part of. We are committed to creating and living a culture of diversity, equity, and inclusion throughout our work. We do not discriminate on the basis of race, national origin, religion, disability, pregnancy, age, military status, marital status, genetic characteristics or information, gender, gender identity, gender variance, or sexual orientation.

• Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence • Implement multi-agent workflows using modern orchestration frameworks • Integrate state-of-the-art Large Language Models to power contextual analysis • Engineer agents capable of dynamic tool use and structured reasoning • Develop robust data ingestion and transformation layers • Ensure secure, scalable integrations across cloud and enterprise environments • Create feedback loops to iteratively improve model reliability • Deploy and operate AI systems in production using modern DevOps practices • Leverage AI development agents as force multipliers for software design