• Own the entire data, perception ML, and analytics stack, from raw sensor ingest to optimized edge inference and fleet-level performance visibility. • Lead a small perception team while remaining deeply hands-on. • Be accountable for how data is collected, curated, trained, deployed, measured, and improved in production. • Drive technical excellence ensuring models thrive on-vehicle in unpredictable off-road environments. • Champion a 'hardware-first' mindset for real-time inference and resource efficiency on NVIDIA hardware. • Maintain rigorous code quality and system design standards through mentorship and hands-on reviews. • Shift focus from 'model chasing' to 'data curation,' building active learning loops that turn field failures into training successes. • Bridge the gap between offline validation and real-world autonomy outcomes; ensure the team optimizes for vehicle performance, not just loss functions. • Provide high-signal leadership translating complex ML trade-offs into actionable insights for leadership and cross-functional partners. • Collaborate with Data Engineering and Field Ops to ensure fleet analytics dashboard remains the 'source of truth' for autonomy readiness.

Lunon is the world's first AI-native consulting firm. We run engagements for private equity firms and global enterprises across the full spectrum of consulting work. The work is institutional quality, delivered in a fraction of the time and cost. We believe the traditional consulting model is fundamentally broken. Firms charge $500 an hour for analysts doing work that AI can do better, faster, and more rigorously. We are building the platform that proves it, and delivering the engagements that demonstrate it. We have raised a $2M pre-seed round backed by General Catalyst, SV Angel, and top Silicon Valley names, with advisors across the world's leading PE firms and consulting practices. What you'll own As Lunon's Software Engineering Intern, you will work directly with the founding engineering team on the platform powering our client engagements. The platform is where hundreds of millions of dollars in deals get analyzed and decided. Engagements run end to end on it, from initial scoping through live AI-driven research and analysis, to polished reports and deliverables that clients access directly. This is not a "build an internal tool and present at the end of summer" internship. You will own features end to end, ship them to real clients, and see the impact immediately. How you'll work - Your workflow, your tools, your call. Claude Code, Cursor, whatever gets the best result fastest. - You ship it yourself. No handoffs, no waiting on someone to unblock you. - You stay on top of the best tools as they emerge and bring that to the team. - You hit a wall, you find a way through it. That's the job. Most internships will micromanage you, hand you projects you didn't choose, and slow down your learning at every turn. This one is built on velocity, ownership, and grind. Must haves You are a good fit for Lunon if you are a formidable engineer. This means you stop at nothing to accomplish your goal. We don't care much about your current skills or even what you've done before. We care that you will figure out anything you set your mind to. You must be autonomous. There is no ticket queue. There is no hand-holding. You pick up the work, figure out what needs to be done, and do it. You must be AI-fluent. Claude Code or Cursor should be your default. You use AI to punch above your weight, not as a crutch. You must be pragmatic. Lunon is a startup so something is always on fire. Some things will be broken, some things will be unclear, and some things will change overnight. You figure it out and keep going. You must be gritty. You pick the hardest, highest-quality option regardless of the effort it takes and you push through it. Prior startup experience is strongly preferred. If you have already survived the chaos of an early-stage company, you know what you are walking into. Your GitHub should tell a story. We are not expecting dozens of polished repos, but we want to see someone who lives in code — consistent activity, real projects, and enough experience that branches, PRs, and merge conflicts are second nature. Why Lunon - Young, hungry founders. No bureaucracy, no politics, just building. - Small team, high trust, no one looking over your shoulder. - $1,000 tools stipend to set you up with everything you need to ship. - Early model access through an OpenAI partnership. - Remote About the interview - 30-minute intro call with founders - Take-home build challenge - 30-minute interview with Dhruv (CEO) and Connor (CTO)

Businesses on Mercury are leveraging their financial insights to inform consequential decisions that drive their company forward. Fragmented financial data, inaccuracies, and delayed accounting reports result in these businesses making decisions based on processed historical data and not on the state of their business today. For accountants, this adds growing pressure to reconcile and review, resulting in less time spent providing exceptional service to their clients. Our Accounting product engineering team exists to close this gap by enabling real-time insights for businesses that use Mercury. We do this by allowing businesses to connect their other financial software to Mercury, configure auto-categorization, and identify outliers that may lead to inaccuracies. By closing the books in real-time, businesses get a live picture of their finances, not a lagging one. We’re looking for an engineering leader who is excited to lead their team to execute on our vision for real-time accounting and own a critical part of Mercury’s product growth. As part of this role, you will: - Lead a team of 6+ exceptional software engineers, growing the team through performance management, mentorship, and hiring. - Contribute to a team culture that aligns to Mercury’s values. - Help define technical architecture for ingesting financial data from hundreds of sources and streaming them to Mercury’s accounting service. - Work closely with designers, product leaders, and other cross-functional stakeholders to shape product strategy and execute on the Accounting team roadmap. - Collaborate with other engineering teams on overlapping work, optimizing for product cohesion and simplicity over strict division of responsibility. The ideal candidate for the role: - Has 3+ years of engineering management leading full-stack product engineering teams, especially teams that have leveraged AI to build software. - Has made architectural decisions in the past and measured the impact of those decisions over time. You should be able to clearly articulate your technical opinions and lay out tradeoffs. Bonus points if you have experience in both monolithic and microservice architectures. - Has a strong sense of technical and product ownership and actively seeks responsibility – our engineers often act as product owners on small/medium projects, and we want someone who’s excited to help shape the future of our accounting products; previous experience in fintech/accounting or building consumer-facing AI products is a nice-to-have. - Is comfortable driving discussions in areas with ambiguous ownership, approaches them with empathy, and prioritizes reaching outcomes. Our work overlaps with many other teams – you’ll have a lot of autonomy in this role and are expected to use it to seek out ways to have an impact. If this role interests you, we invite you to explore our public demo at demo.mercury.com. The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. Our target new hire base salary ranges for this role are the following: - US employees (any location): $200,700 - $250,900 - Canadian employees (any location): CAD $189,700 - $237,100 Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and 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 January 22, 2024. [Please see the independent bias audit report covering our use of Covey for more information.] #LI-RA1

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Affirm’s IT Engineering teams build and operate the tools, systems, and services that power Affirm’s employee-facing IT experience. We’re a creative, craft-minded team focused on building and maintaining services which are speedy, simple, and secure so Affirmers across our global, remote-first workforce can be productive from day one. Client Platform Engineering builds and maintains the hardware and software at the heart of Affirm’s employee-facing operations. We’re a creative, cross-functional team that cares deeply about our craft and the working lives of Affirmers around the globe. We own Affirm’s endpoint platform and deliver scalable, secure solutions - including zero-touch provisioning, package and patch management, and silent updates - while partnering cross-functionally with teams like Security, Engineering, Product and Support. As a member of this team you’ll have direct influence over how Affirmers experience their workplace technology and the opportunity to lead high-impact projects that improve reliability, security, and productivity across an engaged global workforce. What You'll Do - Administer and scale macOS device management using Jamf Pro, ensuring endpoints meet company compliance standards (e.g., encryption, OS patching, configuration profiles, application management). - Guide architectural decisions to ensure endpoint management can easily scale with the company - Drive key technical initiatives such as permission automation, third-party patching, silent updates, stability improvements, and streamlined device deployment. - Build automation and infrastructure-as-code pipelines using tools like Terraform (or similar), Bash/Python scripting, and Jamf/Okta/MDM APIs to minimize manual work and create “zero-touch” provisioning workflows. - Manage enterprise-grade software and package deployment, using tools like AutoPkgr or equivalent for packaging and silent rollout of updates at scale. - Implement and refine endpoint change control processes, with communication, testing, rollback plans, and compliance tracking. Create dashboards and reporting for visibility into compliance, patch levels, and device health. - Collaborate closely with Security, Support, Engineering, and IT to enforce policies (e.g. least-privilege), onboard security agents (AV, EDR, disk encryption), and integrate devices with Okta SSO, Oomnitza, Google Workspace, and other monitoring tools. - Serve as the escalation tier for complex endpoint issues—troubleshoot deep macOS, hardware, networking, or software issues and act as a knowledge source for IT Support. - Mentor junior engineers—share expertise, set best practices, and help elevate the team’s Jamf, scripting, and automation capabilities. - Explore and evaluate new endpoint-management and automation technologies, run POCs, and recommend adoption to improve platform efficiency, security, and user experience. - Work directly with Developer Productivity to support the unique needs of Affirm’s engineers. What We Look For - 5+ years of hands-on experience managing macOS (and ideally other endpoints) at scale with enterprise MDM tools - Jamf Pro expertise required (Jamf 300+ level). - Strong scripting capabilities in Bash, with fluency in a second language like Python; ability to programmatically integrate with RESTful APIs (Jamf API, Okta API, etc.). - Proven proficiency in automation / infrastructure-as-code tools like Terraform, Ansible, or similar in an IT context. - Experience with Windows Intune and Windows Endpoint Management - Deep understanding of enterprise security practices for endpoints, including vulnerability/patch management, enforcing least privilege, encryption, and compliance frameworks. - Experience building and managing package/software distribution pipelines, with tools like AutoPkg, Jamf, or others. - Exceptional troubleshooting skills and ability to debug complex endpoint issues; capable of representing the IT team in high-severity escalations. - Excellent cross-functional communication skills with a collaborative mindset—able to work with Security, Support, and Engineering teams effectively. - A positive, growth-oriented attitude, with strong written communication: documentation, runbooks, dashboards, and process guides. - Prior experience serving as a technical mentor or functional lead in a high-growth or enterprise environment is strongly preferred - This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Pay Grade - M Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $180,000 - $230,000 USA base pay range (all other U.S. states) per year: $160,000 - $210,000 Please note that visa sponsorship is not available for this position. #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: - Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents - Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses - Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge - ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.