Sustainable Energy Engineering (SEE) is a freshman-level course that guides students through the inner workings of the world’s energy systems, from thermodynamics to economics. The course includes lectures but focuses on hands-on demonstrations and data analysis. Graded coursework includes homework assignments, case studies, and a capstone design project. Students have the opportunity to earn three credits from Johns Hopkins University. Ultimately, the goal of the course is to expose students to engineering principles, allow them to apply the math and science they learn in high school to solving real world problems, and to help students develop critical thinking skills. More information can be found at https://ei.jhu.edu/programs/see. We are seeking a Teaching Fellow SEE - Online who understands, appreciate, and apply an instructional style that emphasizes the process of problem-solving rather than memorizing material. The object is to engage students by getting them to think and participate rather than being lectured to. Each SEE class has a broad range of 16-24 students with diverse backgrounds, and teaching staff must be prepared to accommodate a multitude of learning styles. The Teaching Fellow must be able to engage, encourage and excite the students. Specific Duties & Responsibilities - Teaching Fellows must be present and available during the entire course. This includes the daily synchronous 3-hour session as well as time to coordinate with the teaching team, grade student submissions, check student messages daily outside of class time, and hold occasional study sessions. - Teaching Fellows must be prepared to spend time independently to review course materials and complete the online training program prior to the first day of the course. - Teaching Fellows must be comfortable with the course material and be able to relate the curriculum to high school students. - Teaching Fellows must work with the Instructor to develop a sense of community for the high school students participating in the class. - Teaching Fellows must be able to assist students remotely as they conduct the various activities throughout the course. - Teaching Fellows must work with the Instructor to monitor the discussion boards and answer student messages in less than 24 hours. - Teaching Fellows may create, as needed, additional videos to act as supplemental material to clarify/demonstrate the lab set up and/or to fill in any instructional holes that may arise. - Teaching Fellows will assist Instructors and ensure that students receive their graded assigned work promptly – within 1-2 days of the assignment due date – and provide detailed feedback to students so that they are able to learn from the activity and improve their future performance. - Teaching Fellows will assist Instructors and ensure that grades are posted to the learning management system in a timely manner. - Teaching Fellows must ensure that child safety protocols are upheld. Minimum Qualifications - Bachelor’s or Master’s Degree in a Science, Technology, Engineering or Math Discipline - Candidates for these positions will be subject to a pre-employment background check and fingerprinted per policies related to working with minors. - All employees participating in Hopkins Pre-College programs must enroll and participate in mandatory online training relevant to working with minors and working at JHU. - Availability to teach June 29 to July 31, Monday through Friday. Each class will meet synchronously for a single 3-hour block at the same time each day. The synchronous class meeting will occur during one of the following time intervals: 9am – noon, 2-5pm, 7pm-10pm (all Baltimore local times). - Availability to participate in pre-course training. - Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications - Bachelor’s or Master’s Degree in engineering preferred. - Three plus years of experience as a high school teacher in a STEM discipline [DW1.1] Special knowledge, skills, and abilities - Excellent classroom management skills. - Knowledge of Algebra II and Trigonometry. - Knowledge of Physics. Technical qualifications or specialized certifications - Familiarity with Canvas or similar LMS. - Proficient with Microsoft Office Suite, particularly Outlook, Word, Excel, PowerPoint, Teams. - Proficient with Zoom or similar video conferencing software. Physical Requirements - Access to remote/virtual work environment for training prior to course. - Access to remote/virtual work environment during the course. Classified Title: Teaching Assistant Engineering Job Posting Title (Working Title): Teaching Fellow SEE - Online (Sustainable Energy Engineering) Role/Level/Range: ATO 37.5/03/OI Starting Salary Range: $31.10 - $54.50 HRLY (Commensurate w/exp.) Employee group: Casual / On Call Schedule: 37.5hrs/wkly; 7 days - Course runs June 29 to July 31, Monday through Friday. Each class will meet synchronously for a single 3-hour block at the same time each day. The synchronous class meeting will occur during one of the following time intervals: 9am FLSA Status: Non-Exempt Location: Remote Department name: Pre-Collegiate Programs Students_Casuals Personnel area: Whiting School of Engineering

VP of Engineering Location: North America Remote / San Francisco, CA · Full-Time About Andromeda Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers. We began with a single managed cluster — but it filled almost instantly. Since then, we’ve been quietly building the systems, network, and orchestration layer that makes the world’s AI infrastructure more accessible. Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it’s needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth. Our long-term vision is to build the liquidity layer for global AI compute. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering. The Role We’re hiring a VP of Engineering to lead the technical organization behind Andromeda’s platform and operations. This is a builder–operator role, not a pure people-management role. This is a change leadership role, not a “scale what already works” role. Our platform works, but it’s held together with speed and hustle, not systems and automation. Your job is to introduce the structure we need to scale, and do so without alienating a high-performing team or grinding the business to a halt. That’s a hard balance. It requires technical depth and organizational patience. If you succeed here, you will help define how AI compute is bought, sold, and operated at scale. You sit at the intersection of: - Product and platform development - Customer solutions and support - Provider onboarding and lifecycle management - Enterprise security and compliance - Technical credibility with customers, partners, and OEMs Where We Are Today We’re a fast-moving team that has shipped a working platform in a compressed timeline and achieved hundreds of millions of dollars of revenue. We’ve prioritized speed and iteration over process and documentation, and that’s been the right tradeoff to get here. But we’re approaching an inflection point. We have real technical debt, operational gaps, and scaling constraints that need to be addressed. The challenge is doing this without grinding the business to a halt or alienating a high-performing team that’s built something real and valuable. You’ll inherit a team that operates with high trust, informal communication, and a bias toward building. They’re skeptical of heavy process, because they’ve seen it slow things down elsewhere. Your job is to earn their trust, then introduce the systems and structure we need to scale, at a pace the organization can metabolize. What You’ll Own 1. Build the Platform (Hands-On Where It Matters) You own the architecture, development, and operation of: - Andromeda Cloud – Customer-facing experience for provisioning and managing workloads - Andromeda Rails – Intelligence layer for workload matching, monitoring, utilization, and SLA enforcement - Andromeda OS – Supply-side system for onboarding, benchmarking, monitoring, and monetizing GPU infrastructure Success looks like a world-class developer experience, frictionless supply onboarding, and automated matching between the two. 2. Own Customer Solutions and Support Engineering is customer-facing at Andromeda. You are accountable for: - Platform stability, performance, and uptime - Incident response, observability, and post-mortems - DevOps and SRE excellence - Turning customer pain into fast product improvements This is about clear ownership and fast response—not heavy process. 3. Be a Technical Partner to Revenue Engineering is a core revenue enabler. You will: - Support large, complex, high-stakes deals with deep technical credibility - Translate customer needs into concrete architectures - Build tools, benchmarks, demos, and POCs that accelerate sales - Equip GTM teams with accurate technical materials and guardrails - Close the loop between the field and the roadmap You’ll regularly engage with senior technical leaders at AI labs, enterprises, OEMs, and cloud providers—and you must hold your own. 4. Build the Engineering Organization (Without Bureaucracy) You will build a small, elite, high-trust engineering team. That means: - Hiring exceptional engineers with strong judgment and ownership - Putting the right people in the right seats - Setting clear priorities and technical direction - Avoiding premature process while enforcing accountability This is not a place for bureaucracy, politics, or ego. 5. Own Security and Compliance You are the executive owner of platform trust. You will: - Lead SOC 2 Type II and ISO readiness and certification - Define security architecture across platform, infrastructure, and data - Manage third-party risk and vendor security - Support enterprise and government procurement - Build a compliance roadmap that scales without slowing innovation How You’ll Approach Change - You will not walk in and propose pausing product development. You will not propose hiring 15 people in month one. You will not present a 90-day transformation plan in your first week. - Instead, you will: - Focus on adding value and earning trust/ credibility quickly within the first few weeks of joining. - Spend a large block of your time in the first 30 days learning the business, team, and building relationships. - Introduce process/ structure/ hiring plans incrementally, with clear rationale and team input What Success Looks Like in Year One - You are deeply trusted by the engineering team - You have a strong grasp of the product, market, and system - The platform is stable, performant, and scaling with demand - Customer experience is reliable and responsive - Supply onboarding is increasingly automated - Sales closes larger, more complex deals faster with strong technical backing - The engineering org is aligned, energized, and executing - SOC 2 Type II and ISO are complete or well underway What We’re Looking For You may be a fit if you: - Are extremely interested in, excited about, and familiar with modern AI infrastructure - Are a senior engineering leader who still goes hands-on when needed - Have architected, built, and operated infrastructure or developer platforms - Are a strong systems thinker with sound judgment under ambiguity - Are comfortable in zero-to-one and one-to-scale environments - Are credible with customers, partners, and senior technical stakeholders - Have experience with reliability-critical systems (infra, SRE, networking) - Have exposure to enterprise security and compliance Not a fit if you: - Lead with authority before earning trust - Move faster on org change than relationship building - Need large teams, lots of meetings, and heavy process to feel effective - Delegate design / architecture instead of owning it - Avoid customer-facing responsibility - Prefer planning over shipping What’s Hard About This Role - The team has shipped a lot with informal processes. They’re proud of it, and they should be. But they’re also skeptical of “process people.” You’ll need to earn the right to introduce structure for us to move beyond 0 – 1, so we can move to 1 - 10. - Some of the changes we need require cultural shifts, not just technical ones. You’ll need to be a change agent, not just an architect. - Leadership is deeply involved in the business and has strong opinions. You’ll need to influence through alignment, not unilateral authority. Major decisions–hiring plans, process changes, team structure–require buy-in before execution. Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

• Manage multiple Product Engineering projects and a cross-functional engineering staff, including Python backend engineers, AI engineers, and Test Automation engineers. • Architect, design, code, review and guide the team in developing scalable, efficient, and performant code for both the Agentic AI products, the backend microservices that power them, and the underlying platform required to scale and secure them. • Champion an AI-first approach by deeply integrating autonomous coding agents into the team's daily workflows and SDLC. • Lead the development of intelligent retrieval systems—from RAG pipelines to agentic architectures that reason across multiple data sources. • Work closely with DevOps/SRE to plan, shape, and own the team's end-to-end delivery process, ensuring robust deployment and monitoring for production AI and microservice systems. • Evaluate and select the right agentic frameworks and tools, partnering with SmartEquip technical leadership. • Build automated test and verification pipelines tailored for AI systems, operating with an accuracy-first mindset to manage hallucination risks and ensure secure data access.

• Collaborate with Product, Analytics, Machine Learning, Compliance, Operations and other engineering managers to develop a long term technical roadmap that meets stakeholder needs • Recruit and hire talented engineers • Hold a high technical bar with a bias towards longevity and simplicity via specification and architecture review • Coach, develop, retain, and provide thoughtful feedback to team members • Establish Objectives and Key Results (OKRs) and Key Performance Indicators (KPIs) to set the engineering team’s direction and measure its success • Build a strong engineering culture around innovation, accountability, empathy, and execution