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lead software engineer

Maximus Health

<p></p><div><p><b>Fully Remote (North America / South America)</b></p><ul><li><p><b>
There is 1 opening, posted to multiple locations.</b></p></li></ul><p><b>
No agencies.
</b></p><p></p><h1 class="jobSectionHeader"><b>About Maximus</b></h1><p>
Maximus (https://www.maximustribe.com/) is a mission-driven consumer performance medicine telehealth company that provides men and women with content, community, and clinical support to optimize their health, wellness, and hormones. Maximus has achieved profitability, 8-figure ARR, and is doubling year over year - with a strong cash position. We have raised $15M from top Silicon Valley VCs such as Founders Fund and 8VC as well as leading angel investors/operators from companies like Bulletproof, Tinder, Coinbase, Daily Stoic, &amp; Shopify.</p><p>
We also offer Maximus Labs, a standalone biomarker testing subscription that doubles as an acquisition channel into our telemedicine protocols. We're targeting 2x customer growth this year and need a Growth Lead who can build the acquisition engine that gets us there.</p><p>
We're capital-efficient and compete against Hims, Hone, Keeps, and Fella by being better at the product, not louder with ad spend. Our growth strategy is conversion-driven: make the signup-to-checkout funnel so good that paid channels become more efficient by default.</p><p></p><h1 class="jobSectionHeader"><b>
About the Role</b></h1><p>
We are looking for a strong Lead Engineer (Tech Lead) to lead our Growth engineering team. You will be splitting your time roughly 50/50 between management and coding. You own the lower acquisition funnel, from flow start through checkout, across all Maximus protocols.</p><p>
Your north star metric is Flow Start to Checkout CVR. You also carry an M1 Retention guardrail, which means you can't optimize for conversion at the expense of user quality. Every experiment you ship has a built-in quality check.</p><p>
You will manage a small team of engineers and work directly with a Sr. PM and Sr. Designer. You will report directly to the Head of Engineering.</p><p></p><h1 class="jobSectionHeader"><b>
Why this role and join us?:</b></h1><ul><li><p><b>
Impact: </b>Set the technical direction for how Maximus acquires customers, run experiments that directly move revenue, and build a team that compounds learning over time. The Growth team's output is visible in the company's top-line numbers every month.</p></li><li><p><b>
First 90 days: </b>Complete BNPL migration to Klarna across all protocols</p></li><li><p><b>
First 2 Quarters:</b> Launch a new activation satisfaction survey for our retention guardrail and build cohort-level experiment tracking</p></li><li><p>
Maximus is at the stage where the acquisition engine needs a dedicated engineering leader who stays with the problem long enough to compound results. If you want to own that end to end, with real authority and real accountability, this is the role for you.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What you will do (Key Responsibilities):</b></h1><ul><li><p>
Deliver protocol-level A/B experiments on signup flows, checkout, plan pricing, and product recommendations using Amplitude</p></li><li><p>
Ship full-stack features across the acquisition funnel in Rails and React</p></li><li><p>
Coach and develop your engineering team through regular 1:1s, pair programming, code reviews, and career conversations</p></li><li><p>
Own experiment design, including sample sizing, metric selection, and the CVR-vs-retention tension that comes with a dual mandate</p></li><li><p>
Iterate and continuously optimize plan and pricing architecture, including payment platform integrations</p></li><li><p>
Build and maintain the experimentation infrastructure your team runs on</p></li><li><p>
Partner with data engineering to instrument cohort-level M1 retention tracking per experiment</p></li><li><p>
Drive adoption of AI-assisted development across the team, using tools like Claude Code and Devin to increase shipping and development velocity</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Our Tech Stack:</b></h1><ul><li><p>
Ruby on Rails 7 / Ruby 3.3, React 18 / TypeScript 5.4 (required)</p></li><li><p>
Event-sourced architecture with command pattern</p></li><li><p>
PostgreSQL, Redis, Delayed Job for background processing</p></li><li><p>
Stripe and Klarna for payments and installment plans</p></li><li><p>
Amplitude for experimentation and analytics, Segment for event collection</p></li><li><p>
Redux with redux-loop and Immutable.js on the frontend</p></li><li><p>
Docker, AWS/GCP, Aptible, GitHub Actions CI/CD</p></li><li><p>
Cypress for E2E testing</p></li><li><p>
AI-assisted development: Claude Code and Devin for agentic coding</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What we are looking for (Qualifications):</b></h1><ul><li><p>
You've led a team of 4-8 engineers before, with direct reports you grew and retained</p></li><li><p>
You've shipped and measured growth experiments in a subscription product (signup funnels, checkout optimization, pricing and plan architecture)</p></li><li><p>
You write production Ruby on Rails and React code and expect to keep doing so (strongly preferred). Javascript (Node), Python are also acceptable.
</p></li><li><p>You can design an experiment, pick the right metric, set a sample size, and explain the trade-offs to a PM who wants to ship faster</p></li><li><p>
You think in funnels and cohorts, not just features</p></li><li><p>
You're comfortable with event-sourced systems or similar architectural patterns where state is derived from event streams</p></li><li><p>
You use agentic AI coding tools (Claude Code, Devin, Cursor, or similar) in your daily workflow and have opinions about how to integrate them into a team's development process</p></li></ul><h2 class="jobSectionHeader"><b>
Nice to have (strongly preferred):</b></h2><ul><li><p>
Experience with healthcare, wellness, or regulated subscription commerce</p></li><li><p>
Familiarity with Stripe billing, Klarna, or similar payment platform integrations</p></li><li><p>
Experience building or managing Amplitude (or LaunchDarkly, Optimizely, etc.) experimentation infrastructure</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
How we work:</b></h1><ul><li><p>
Remote, Americas-based (team is distributed across US and Latin America time zones)</p></li><li><p>
Two-week sprints with PM, Design, and Tech Lead driving prioritization together</p></li><li><p>
Ship and deploy to production multiple times per day</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
World-Class Benefits:</b></h1><ul><li><p>
Full suite: health, medical, dental coverage (USA &amp; Canada)</p></li><li><p>
Flexible vacation/time-off policies</p></li><li><p>
Equity into the company in the form of high potential stock options</p></li><li><p>
Liquidity of options whenever available</p></li><li><p>
Extended options exercise window for loyal employees (3 months for every year of service; e.g. 1 year for 4+ year employees)</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Interview process</b></h1><p>
Do you believe you're a fit for this role and want to join the Maximus team? We'd love to hear about you! Here is what you can expect from the hiring process (if there are changes we will be sure to let you know).</p><p><b>
Please refrain from messaging or emailing people directly, if you are interested, apply directly, your application will be reviewed by a human.</b></p><ul><li><p><b>
Application &amp; Criteria Questionnaire:</b> When submitting your application and resume, tell us why you want to join Maximus and take your time with the questions. The Criteria Questionnaire will be sent to you automatically and is mandatory, we will use it as part of our data driven process. This is your chance to make a strong first impression.</p></li><li><p><b>
First Interview:</b> Interview with Justin L, Recruiting Lead. This will be a exploratory conversation focused on how you work, your experience &amp; fit for the role, and alignment on values and expectations.</p></li><li><p><b>
Role Interview:</b> You will then meet with Mark P - Head of Engineering and Steve C - Senior Growth Product Manager to understand how you would approach real Growth team problems across system design, product trade-offs, and compliance.
</p></li><li><p><b>Technical Interview:</b> Interview with one of our Senior or Lead engineers to evaluate hands-on coding ability in our stack (Rails + React/TypeScript). We want to see that you can build and ship, not just architect. Feel free use agentic AI tools (Claude Code, Cursor, Windsurf, etc.) during the exercise, as appropriate</p></li><li><p><b>
Leadership Interview:</b> Chat with Mark P - Head of Engineering on leading a team, growing engineers, hiring and other aspects of people leadership.</p></li><li><p><b>
Meet the CEO:</b> At the very end, you will have the opportunity to meet with Cam S, our CEO. This is a great chance for you to gain a deeper understanding of Maximus's strategy, values, and work processes.</p></li></ul><p><i>
Maximus is an equal opportunity employer, which not only includes standard protected categories, but the additional freedom from discrimination against your free speech and beliefs, as long as they are aligned with company values. We celebrate intellectual diversity.</i></p><p><i>
Note: We utilize AI note-taking technology during our interview sessions to ensure we capture all answers and details accurately. Candidates are also encouraged to use AI note-takers for their own records if they wish.</i></p><p>
Compensation Range: $150K - $200K</p></div>

Lead Software Engineer / Tech Lead, Growth (Remote)

SS&C

<div><div>As a leading financial services and healthcare technology company based on revenue, SS&amp;C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&amp;C for expertise, scale, and technology.</div><div></div><div>
Job Description</div><div></div><div>
Lead Data Engineer (SS&amp;C Technologies, Inc.; San Francisco, CA): The Lead Data Engineer is based at SS&amp;C&rsquo;s office in San Francisco, CA with a telecommuting benefit. The incumbent must reside within commuting distance from SS&amp;C&rsquo;s San Francisco office. The Data Engineer will join a team that creates a leading cloud platform with the latest big data, cloud native and machine learning technologies. Specific responsibilities will include: Build and implement models in a production environment for a revenue-driving product; Create and maintain overall optimal data pipeline architecture; Assemble large, complex data sets that meet functional / non-functional business requirements; Manage data migrations/conversions and troubleshooting data processing issues; Create the pipeline for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources; Build large scale data platform infrastructures to power other products; Lead a squad (feature team) to deliver strategic client features including data movement and data synchronization; and Work with other architect engineers to propose architecture designs that will solve a business problem with bigger impact and reduce technical debts in the long run.</div><div></div><div>
Minimum requirements: Master&rsquo;s degree or foreign equivalent in Computer Science, Data Analytics, Information Technology Management, or related field, plus 3 years of pre- or post-Master&rsquo;s experience in any occupation in which the required experience is gained.</div><div></div><div>
Alternate Education and Experience: Bachelor&rsquo;s degree or foreign equivalent in Computer Science, Data Analytics, Information Technology Management, or related field, plus 6 years of experience in any occupation in which the required experience is gained.</div><div></div><div>
Must have: Master programming skills in Python and SQL. Deep knowledge of big data platforms technologies including Spark, Hive, Airflow, Data Hub, Delta Lake or Iceberg. Strong algorithm &amp; data structure basis. Experience leading a team technically to deliver large business features. Great architecture principles and decision-making skills. Strong problem-solving skills with a can-do attitude. Great software engineering best practices with git and version control systems. Solid communication skills to explain complex data pipelines to both technical and non-technical people. Excellent writing and documenting skills.</div><div></div><div>
Salary: $194,834.00 to $210,000.00 per year.</div><div></div><div>
Apply online at <div>https://www.ssctech.com/about-us/careers</div> or send resume to: Angela Lamar, Talent Acquisition, SS&amp;C Technologies, Inc., <div>alamar@sscinc.com</div>. Ref: 00087619. An EOE.</div><div></div><div>
#LI-DNI</div><div></div><div>
Unless explicitly requested or approached by SS&amp;C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.</div>
SS&amp;C offers excellent benefits including health, dental, 401k plan, tuition and professional development reimbursement plan.<div>
SS&amp;C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.</div><div></div>
Salary is determined by various factors including, but not limited to, relevant work experience, job related knowledge, skills, abilities, business needs, and geographic regions.<div></div>
California: Salary range for the position: 194,834 USD to 210,000 USD.</div><div></div>

Lead Data Engineer (SS&C Technologies, Inc.; San Francisco, CA): Ref 00087619

General Motors (GM)

<div><p><b>Job Description
</b></p><div><p><b>About Us<br>
</b></p></div><p></p><div><p>GM is developing the next generation of embedded platform software to deliver state-of-the-art ADAS features to our customers.<br>
</p></div><p></p><div><p>The Autonomy Interface SW (AIS) team is responsible for building runtime software that enables robust interface contracts, system degradation transitions, and seamless sensing integration with the autonomy stack .<br>
</p></div><p></p><div><p><b>The Role
</b></p></div><p></p><div><p>As a Senior Software Engineer, you&rsquo;ll be responsible for designing, documenting, and implementing complex, highly scalable, low-latency software in C++ on Linux-based systems for the AIS team. Your work will be the foundational software which the rest of GM&rsquo;s AV stack is built upon for safety-critical , performance-sensitive functions including but not limited to vehicle actuation controls/feedback interfaces, vehicle moding controls, etc. across the GM vehicle platforms.<br>
</p></div><p></p><div><p>If you are looking to solve one of today&rsquo;s most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world, join us.<br>
</p></div><p></p><div><p><b>What </b><b>you&rsquo;ll </b><b>be doing (Responsibilities)
</b></p></div><div><ul><li><p>Develop software in C++ to interface with the autonomy stack with the other compute, sensors and custom hardware on the vehicle
</p></li></ul></div><div><ul><li><p>Improve and deliver reliable software through requirements generation, continuous integration, automated testing, issue tracking, and code reviews
</p></li></ul></div><div><ul><li><p>Collaborate with colleagues across multiple teams and mentor other developers
</p></li></ul></div><div><ul><li><p>Lead and generates technical solutions including specifying of requirements, functional decomposition, analysis, development and testing for current, new and major programs
</p></li></ul></div><div><ul><li><p>Performs as Subject Matter Expert (SME) for at least one platform or application component
</p></li></ul></div><div><ul><li><p>Provide, communicate, and support common best practices among software community
</p></li></ul></div><div><ul><li><p>Lead development of software system team design content and software anomaly corrections.
</p></li></ul></div><div><ul><li><p>Knowledge of and experience applying software best practices
</p></li></ul></div><div><ul><li><p>Being able to specify and balances system requirements
</p></li></ul></div><p></p><div><p><b>Your Skills &amp; Abilities (Required Qualifications)
</b></p></div><div><ul><li><p>4+ years' experience building and shipping production-quality software, with a focus in Linux based environments
</p></li></ul></div><div><ul><li><p>Bachelor's, Master's, or PHD in relevant field or relevant work experience.
</p></li></ul></div><div><ul><li><p>Experience with C++ (17+), STL, and Python3
</p></li></ul></div><div><ul><li><p>Experience working with and building tooling for large, complex systems
</p></li></ul></div><div><ul><li><p>A high standard and commitment to quality by designing for maintainability, testability and efficiency
</p></li></ul></div><p></p><div><p><b>What Will Give You </b><b>a </b><b>Competitive Edge (Preferred Qualifications)
</b></p></div><div><ul><li><p>7+ years' experience building and shipping production-quality software, with a focus in Linux based environments
</p></li></ul></div><div><ul><li><p>Experience with safety critical development (FDA, FAA, Automotive)
</p></li></ul></div><div><ul><li><p>Experience with build tools like bazel or cmake
</p></li></ul></div><div><ul><li><p>Experience debugging across cloud and embedded systems
</p></li></ul></div><div><ul><li><p>Experience with ARXML or/and SOME/IP
</p></li></ul></div><div><ul><li><p>Experience with networking, TCP/ IP and UDP.
</p></li></ul></div><div><ul><li><p>Building and shipping production-quality software on and for embedded Linux / POSIX systems
</p></li></ul></div><div><ul><li><p>Experience working with ROS or similar pub/ sub IPC systems
</p></li></ul></div><div><ul><li><p>Leads and generates technical solutions including specifying of requirements, functional decomposition, analysis, development and testing for current, new and major programs
</p></li></ul></div><div><ul><li><p>Lead development of software system team design content and software anomaly corrections.
</p></li></ul></div><div><ul><li><p>Performs complex design analysis
</p></li></ul></div><div><ul><li><p>Being able to balance system requirements
</p></li></ul><p></p><p><b>Compensation: </b>The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
</p><ul><li><p><b>The salary range for this role: </b>is $125,000 to $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
</p></li></ul><ul><li><p><b>Bonus Potential: </b>An incentive pay program offers payouts based on company performance, job level, and individual performance.
</p></li><li><p><b>Benefits: </b>GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation &amp; holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
</p></li></ul><p></p><p>#GM-AV-1
</p></div>&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.&amp;#xa;&amp;#xa;The selected candidate will be required to travel &lt;25% for this role.&amp;#xa;&amp;#xa;
<p><b>About GM
</b></p><p>Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
</p><p></p><p><b>Why Join Us
</b></p><p>We believe we all must make a choice every day &ndash; individually and collectively &ndash; to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
</p><p></p><p><b>Benefits Overview
</b></p><p>From day one, we're looking out for your well-being&ndash;at work and at home&ndash;so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting <b>Total Rewards resources </b>.
</p><p></p><p><b>Non-Discrimination and Equal Employment Opportunities (U.S.)
</b></p><p>General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
</p><p></p><p>All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
</p><p></p><p>We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit <b>How we Hire </b>.
</p><p></p><p><b>Accommodations
</b></p><p>General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, <b>email </b>us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.</p></div><p></p>

Senior Software Engineer

Realign

<div>San Francisco, California 94016 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Contract</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Role: Sr. AI/ML Engineer</b></p><ul><li> <b>Experience</b> &ndash; 10+ Years</li><li> <b>Location</b> - San Francisco, CA &ndash; LOCALS Only</li></ul><div><b>
Required Qualifications</b><br>
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications<br>
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul><br>
<b>
Roles &amp; Responsibilities</b><br>
<b>Role Overview</b><br>
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div><b><br>
Key Responsibilities</b><br>
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

Sr. AI/ML Engineer-6

Lightning AI

<div><div><h1 class="jobSectionHeader"><b>Who We Are</b></h1>
<p>
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems&mdash;designed to take ideas from research to production with less friction.</p>
<p>
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.</p>
<p>
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.</p>
<div>
<h1 class="jobSectionHeader"><b>Our Values</b></h1>
</div>
<ul><li><p><b>Move Fast</b>: We act with speed and precision, breaking down big challenges into achievable steps.</p>
</li>
<li><p><b>Focus</b>: We complete one goal at a time with care, collaborating as a team to deliver features with precision.</p>
</li>
<li><p><b>Balance</b>: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.</p>
</li>
<li><p><b>Craftsmanship</b>: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.</p>
</li>
<li><p><b>Minimal</b>: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.</p></li><br>
</ul></div>
<h2 class="jobSectionHeader"><b>What We're Looking For</b></h2>
<p>
We are seeking a highly skilled <b>Lead Research Engineer</b> to work on optimizing training and inference workloads on compute accelerators and clusters, through the <b>Lightning Thunder compiler</b> and the broader <b>PyTorch Lightning ecosystem</b>. This role sits at the intersection of <b>deep learning research, compiler development, and large-scale system optimization</b>. You'll be shaping technology that pushes the boundaries of model performance and efficiency, creating foundational software that will impact the entire machine learning ecosystem.<br>
<br>
You will be joining the Engineering Team and report to our Tech Lead. This is a hybrid role based in either our New York City or San Francisco office with in-office requirements of 2 days per week. The salary range for this role is $225,000-$275,000.</p>
<h2 class="jobSectionHeader"><b>
What you'll do</b></h2>
<ul><li><b>Develop performance-oriented model optimizations</b> at multiple levels:</li>
<li><ul><li>Graph-level (e.g., operator fusion, kernel scheduling, memory planning)</li>
<li>Kernel-level (CUDA, Triton, custom operators for specialized hardware)</li>
<li>System-level (distributed training across GPUs/TPUs, inference serving at scale)</li>
</ul></li><li><b>Advance the Thunder compiler</b> by building optimization passes, graph transformations, and integration hooks to accelerate training and inference workloads.</li>
<li><b>Work across the software stack</b> to ensure optimizations are accessible to end users through clean APIs, automated tooling, and seamless integration with PyTorch Lightning.<br>
<b>Design and implement profiling and debugging tools</b> to analyze model execution, identify bottlenecks, and guide optimization strategies.</li>
<li><b>Collaborate with hardware vendors and ecosystem partners</b> to ensure Thunder runs efficiently across diverse backends (NVIDIA, AMD, TPU, specialized accelerators).</li>
<li><b>Contribute to open-source projects</b> by developing new features, improving documentation, and supporting community adoption.</li>
<li><b>Engage with researchers and engineers</b> in the community, providing guidance on performance tuning and advocating for Thunder as the go-to optimization layer in ML workflows.</li>
<li><b>Work cross-functionally</b> with Lightning's product and engineering teams to ensure compiler and optimization improvements align with the broader product vision.</li>
</ul><h2 class="jobSectionHeader"><b>What you'll need</b></h2>
<ul><li>Strong expertise with deep learning frameworks such as PyTorch</li>
<li>Hands-on experience with model optimization techniques, including graph-level optimizations, quantization, pruning, mixed precision, or memory-efficient training.</li>
<li>Knowledge of distributed systems and parallelism strategies (data/model/pipeline parallelism, checkpointing, elastic scaling).</li>
<li>Familiarity with software engineering practices: designing APIs, building robust tooling, testing, CI/CD for performance-sensitive systems.</li>
<li>Excellent collaboration and communication skills, with the ability to partner across research, engineering, and external contributors.</li>
<li>Bachelor's degree in Computer Science, Engineering</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Nice to have</b></h2>
<ul><li>Experience with CUDA, Triton, or other GPU programming models for developing custom kernels.</li>
<li>Deep understanding of deep learning compiler internals (IR design, operator fusion, scheduling, optimization passes) or proven work in performance-critical software.</li>
<li>Proven track record contributing to open-source projects in ML, HPC, or compiler domains.</li>
<li>Advanced degree (Master's or PhD) in machine learning, compilers, or systems highly preferred.</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
</b></h2><div><h2 class="jobSectionHeader"><b>
Benefits and Perks</b></h2>
<p>
We offer competitive base salaries and equity with a 25% one year cliff and monthly vesting thereafter. For our international employees, we work with our EOR to pay you in your local currency and provide equitable benefits across the globe.</p>
<p>
In the US, we offer:</p>
<ul>
<li>Medical, dental and vision</li>
<li>Life and AD&amp;D insurance</li>
<li>Flexible paid time off including winter closure</li>
<li>Paid family leave benefits</li>
<li>$500 monthly meal reimbursement, including groceries &amp; food delivery services</li>
<li>$500 one time home office stipend</li>
<li>$1,000 annual learning &amp; development stipend</li>
<li>100% Citibike membership (NYC only)</li>
<li>$45/month gym membership</li>
<li>Additional various medical and mental health services</li>
</ul>
<p>At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.</p></div></div>

Lead Research Engineer

Apple

<p>Do you believe Machine Learning and AI can change the world? We truly believe it can! We are the ML Data Team of the Intelligent System Experience (ISE) group at Apple. We are responsible for building high quality datasets at scale. Every year, our team produces datasets used in the training of ML and AI-centric features for many Apple products, including iPhone, iPad, Mac, Apple Watch and even AirPods. Our work is used in very visible and critical features, from the wallpaper on your iPhone Lock Screen, to your personalized stickers on iMessage, to Apple Intelligence features such as on-device Genmoji and other visual generative models, to the models that highlight the faces and memories of your loved ones in your Photos app.<br>
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We&rsquo;re looking for an exceptional software &amp; data engineer who is passionate about Apple products and values, who has a passion for data operations at scale, is comfortable in a fast paced environment and who is committed to the hard work necessary to continuously improve our ML data pipelines.<br>
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We invite you to join us at this exciting time. Grow fast and positively impact multiple critical features from your first day at Apple!<br>
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<b>Description</b><br>
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Our team focuses on acquiring, synthesizing, annotating, and ensuring the quality of ML data, driving numerous features in collaboration with R&amp;D teams in Apple&rsquo;s SWE organization.&quot;,&quot;responsibilities&quot;:&quot;Operate and maintain data pipelines to effectively process up to billion-scale multimodal data<br>
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Find creative ways to automate workflows or build self service tools, implement a variety of data tools for visualization, compliance and ML enrichment<br>
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Help bring frontier generative model and agentic capabilities in our pipelines to further optimize our data operations ; and production-ize synthetic data workflows including orchestration and lineage<br>
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Identify opportunities for improvement of internal infrastructure offerings, and influence roadmaps of partner teams to build or improve key components we rely on<br>
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<b>Preferred Qualifications</b><br>
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Proven experience designing, automating and scaling large data pipelines (petabyte scale desired) using state of the art processing technologies (eg familiarity with Iceberg, BigQuery, Airflow, Spark, etc.)<br>
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Expertise in Python, Go or another modern programming language; you are expected to produce high quality, efficient code and participate in code reviews<br>
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Strong ability to design and lead a technical roadmap, work with cross functional teams and a diversity of profiles, proven capacity to influence and build alignment<br>
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Demonstrated prior experience in delivering large scale multimodal datasets for foundation models<br>
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Self-starter, able to handle ambiguity, comfortable in a fast-pace environment, identify risks, mitigate, and autonomously find the right people and tools to get the job done<br>
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Proven track record of mentoring and growing engineers, lift the level of software engineering excellence in a ML data ops team typically focused on short term deliveries<br>
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<b>Minimum Qualifications</b><br>
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7+ years of industry experience as a data engineer serving various ML applications (vision domain preferred)<br>
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Bachelor's degree in Computer Science or related field<br>
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Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
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<b>Pay &amp; Benefits</b><br>
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At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.<br>
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Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
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Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior ML Data Engineer, ISE

Promise

<div><p><b>Company Overview</b>
</p><p>Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track&mdash;while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable.</p><p></p><p>
Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology.</p><p></p><p>
Backed by over $50 million in funding from top investors &ndash; such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments &ndash; Promise has been recognized as one of Fast Company's &quot;World's Most Innovative Companies of 2022,&rdquo; &ldquo;Forbes Next Billion-Dollar Startups 2024,&rdquo; and Y Combinator&rsquo;s #1 GovTech startup.</p><p></p><h1 class="jobSectionHeader"><b>
About the Role</b></h1><p>
Promise is looking for an <b>Engineering Lead</b> to guide the technical vision and team behind our <b>Payment Plans platform</b>&mdash;the engine of our business and a lifeline for families nationwide. Payment Plans empower residents with flexible, interest-free installment options, helping them avoid penalties while enabling utilities and governments to recover revenue more effectively. It&rsquo;s a product that creates a <b>true win-win</b>&mdash;and you&rsquo;ll be at the helm.</p><p>
You&rsquo;ll lead a high-performing engineering team, scaling the platform to meet the growing demand from cities, states, and utilities across the country. This is a role for someone who thrives at the intersection of <b>technology, leadership, and mission impact</b>&mdash;setting direction, building systems that last, and ensuring our work reflects Promise&rsquo;s dignity-first values.</p><h1 class="jobSectionHeader"><b><br>
What You&rsquo;ll Do</b></h1><ul><li><p><b>
Lead by doing:</b> Roll your sleeves up and build alongside the team, know the ins and outs of the product.</p></li><li><p><b>
Own the roadmap:</b> Partner with Product and Design to prioritize the right features&mdash;balancing usability, scalability, and measurable real-world impact.</p></li><li><p><b>
Build for scale &amp; trust:</b> Ensure the platform is secure, composable, and capable of supporting governments and utilities nationwide.</p></li><li><p><b>
Elevate the resident experience:</b> Deliver features that make it easier for families to stay on track&mdash;like flexible installments, smart reminders, and personalized plans.</p></li><li><p><b>
Stay hands-on:</b> Dive into technical details when needed, from debugging production issues to optimizing system performance.</p></li><li><p><b>
Automate what matters:</b> Leverage AI and automation to eliminate inefficiencies, reduce operational overhead, and free teams to focus on what counts.</p></li><li><p><b>
Collaborate cross-functionally:</b> Partner with Customer Success and Operations to ensure seamless deployments and reliable performance in the field.</p></li><li><p><b>
Raise the bar:</b> Define and enforce standards for engineering quality, system reliability, and collaborative excellence.</p></li></ul><h1 class="jobSectionHeader"><b><br>
What Will Help You Succeed</b></h1><ul><li><p><b>
Technical leadership:</b> 6+ years building and scaling production software, including at least 2 years leading teams or projects.</p></li><li><p><b>
Roadmap ownership:</b> A track record of setting technical direction, aligning stakeholders, and delivering against ambitious goals.</p></li><li><p><b>
Systems expertise:</b> Strong background in backend systems, system design, and secure architecture.</p></li><li><p><b>
Integration mindset:</b> Experience working with legacy or third-party systems (government, fintech, or regulated industries a plus).</p></li><li><p><b>
Problem-solving skills:</b> Ability to turn complex challenges into simple, scalable solutions.</p></li><li><p><b>
Adaptability:</b> Comfort operating in a fast-paced, feedback-driven environment where priorities can shift quickly.</p></li><li><p><b>
Mission-driven energy:</b> Belief in Promise&rsquo;s vision that better systems create more equitable outcomes.</p></li><li><p><b>
Bonus points:</b> Experience in payments, civic tech, or public infrastructure.</p></li></ul><p></p><h1 class="jobSectionHeader"><b><br>
Who Thrives at Promise</b></h1><h3 class="jobSectionHeader"><b>
You&rsquo;ll love it here if:</b></h3><ul><li><p>
You are energized by <b>big, complex challenges</b> and the opportunity to solve them.</p></li><li><p>
You want your work to have a real<b>, measurable impact</b> on people&rsquo;s lives.</p></li><li><p>
You <b>take ownership</b> and run toward problems, not away from them.</p></li><li><p>
You value <b>clear, candid, and constructive communication.</b></p></li></ul><h3 class="jobSectionHeader"><b>
Promise is not for you if:</b></h3><ul><li><p>
You prefer <b>hierarchy and rigid structures.</b> We operate with <b>freedom and responsibility.</b></p></li><li><p>
You are <b>uncomfortable with change.</b> We move fast, adapt often, and expect agility.</p></li><li><p>
You want a <b>typical corporate culture.</b> We are mission-driven, ambitious, and direct.</p></li><li><p>
You believe <b>efficiency means &ldquo;doing less.&rdquo;</b> We believe <b>efficiency means doing better.</b></p></li></ul><p></p><h1 class="jobSectionHeader"><b>
How We Support Our People</b></h1><ul><li><p>
100% paid health coverage</p></li><li><p>
Generous PTO and sick leave</p></li><li><p>
Lunch, snacks, and coffee provided</p></li><li><p>
Company retreats</p></li><li><p>
Opportunities to travel and see the impact of your work</p></li><li><p>
Hybrid work: we deeply value in-person collaboration and are in-office at least 3 days a week, but are flexible on working from home</p></li></ul><p>
Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. To request a reasonable accommodation, please email accommodations@joinpromise.com.
</p><p>Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US.</p><p>
Compensation Range: $204K - $265K</p></div>

Software Engineering Lead

Explore 308+ Lead software engineer in San Francisco this March. Find roles across top companies and apply now to boost your career.