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automation engineer

Quantcast

<div><div>At Quantcast, we don't just build advertising technology, we revolutionize how it works. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audiences across the open internet, delivering results that actually move the needle. Since 2006, we've been the industry's trailblazer, launching the first AI-powered measurement platform for publishers and the first AI-driven DSP. Our AI doesn't just optimize&mdash;it delivers the measurable outcomes that matter most to our clients, giving them the competitive edge they need in a crowded marketplace. Ready to join the team that's defining the future of digital advertising?</div><div></div><div> 
The Modeling team is responsible for Machine Learning (ML) systems at Quantcast. We build and maintain multiple ML products that price millions of bid requests per second in a real-time auction environment to maximize advertiser outcomes. For each bid our models predict age, gender, viewability, fraud, advertiser relevance and many more characteristics. Using NLP, clustering and LLMs we build topics in multiple languages to help our advertisers target customers interested in relevant content.</div>
<div></div>
<div>As a Machine Learning Engineer you care about the health and maintainability of our systems and the velocity of the engineering teams. You explore data, research new algorithms, experiment with proof of concepts, and build out scalable real-time production systems to tackle challenges the company faces.</div>
<div></div>
<h3 class="jobSectionHeader">What you'll do:</h3><ul>
<li>Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second efficiently.</li>
<li>Run Machine Learning experiments to test new modeling ideas.</li>
<li>Write clean, efficient, and maintainable code using industry best practices.</li>
<li>Collaborate closely with engineering teams, to deliver high-quality ML products. Participate in code reviews and provide constructive feedback to team members.</li>
<li>Identify performance bottlenecks and optimize system components for enhanced scalability.</li>
<li>Keep up to date with developments in machine learning outside the company.</li>
</ul><h3 class="jobSectionHeader">Who you are:</h3><ul>
<li>New Grad to 1 year of experience.</li>
<li>You must be work-authorized in the United States without the need for employer sponsorship.</li>
<li>This is a hybrid role based in our San Francisco office. To ensure a manageable commute for in-office days, candidates must reside within a 60-mile radius of San Francisco, CA. No relocation candidates at this time.</li>
<li>Fluency in Python, Java or similar programming languages.</li>
<li>Strong skills in mathematics and statistics.</li>
<li>Working knowledge of ML algorithms such as classification, control systems, optimization, clustering, LLMs or recommendation systems.</li>
<li>An interest in distributed system and software design, concurrent algorithms, data structures, and software engineering.</li>
</ul><div>The expected base salary range for this role is $151,300 to $178,000.</div><div></div><div> 
At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a competitive salary, this position includes a performance bonus, equity, and a comprehensive benefits package. For more details, visit our Careers Page and see how we support our team. We are headquartered in San Francisco with offices around the world. Quantcast is an Equal Opportunity Employer. Please see the Applicant Privacy Notice for details on our applicant privacy policy. Join the team that unlocks potential.</div></div><div></div>

Machine Learning Engineer

Decagon

<div>About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block&rsquo;s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We&rsquo;re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We&rsquo;re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values &mdash; Just Get It Done, Invent What Customers Want, Winner&rsquo;s Mindset, and The Polymath Principle &mdash; shape how we work and grow as a team.<h2 class="jobSectionHeader">
About the Team</h2>
The Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics.<h2 class="jobSectionHeader">
About the Role</h2>
We&rsquo;re looking for a Senior Software Engineer to help build and evolve our internal developer platform&mdash;everything from CI/CD and release automation to observability standards, platform tooling, and developer workflows that remove friction.
This role is for someone who loves making other engineers faster: reducing build times, eliminating flaky tests, creating paved roads for service creation/deployment, and raising the bar on operability by default. Roles like this often combine &ldquo;builder&rdquo; energy with strong empathy for how engineers actually work.<h2 class="jobSectionHeader">
What you'll do</h2><ul><li>
Developer productivity &amp; platform tooling<ul><li>
Identify workflow bottlenecks (build/test/release/local dev) and build tools that measurably reduce toil.</li><li>
Create and maintain &ldquo;golden paths&rdquo; like service templates, CLIs, libraries, and automation that teams rely on.</li></ul></li><li>
CI/CD &amp; release engineering<ul><li>
Design reusable CI pipelines and deployment workflows that are fast, safe, and easy to adopt across teams.</li><li>
Improve reliability of builds and tests (flake reduction, hermeticity, caching) and drive down cycle time.</li><li>
Support progressive delivery patterns (canary / blue-green) and safe rollback mechanisms.</li></ul></li><li>
Observability &amp; operational excellence<ul><li>
Establish shared observability primitives (metrics/logs/traces), standards, and libraries so services are production-ready by default.</li><li>
Partner with product engineers to improve operability: SLOs, alerting hygiene, dashboards, incident learnings.</li></ul></li><li>
Infrastructure foundations<ul><li>
Build and improve core platform capabilities that make it easy to run and scale services.</li></ul></li><li>
Ownership &amp; reliability<ul><li>
Own the systems you build end-to-end and help keep them healthy in production, improving reliability over time.</li></ul></li></ul><h2 class="jobSectionHeader">
Your background looks something like this</h2><ul><li>
4+ years building production software, with meaningful experience in platform / devtools / infrastructure (or adjacent SRE/release engineering).</li><li>
Strong coding ability in at least one systems/productivity language (e.g., Python, TypeScript/JS), and comfort building developer-facing tooling (CLIs, libraries, automation).</li><li>
Hands-on experience with CI/CD systems and designing pipelines that are scalable and reusable across many repos/services.</li><li>
Practical experience with observability in production systems (instrumentation, alerting, dashboards, incident response).</li><li>
Comfort with containers and modern cloud infrastructure (e.g., Docker/Kubernetes and related tooling).</li><li>
A track record of improving developer experience through measurable outcomes (faster builds, fewer flakes, safer deploys, fewer incidents).</li><li>
Strong cross-team collaboration and communication&mdash;especially writing clear docs and driving adoption.</li></ul><h2 class="jobSectionHeader">
Even better if you have</h2><ul><li>
Experience with monorepos and build systems and/or large-scale CI performance work.</li><li>
Experience building internal platforms: service templates, paved-road deployment, self-serve environments, developer portals.</li><li>
Infrastructure-as-code experience (e.g., Terraform) and a security-minded approach to supply chain (provenance, secrets, least privilege).</li><li>
Experience applying AI-assisted tooling to make engineers dramatically more effective.</li></ul><h2 class="jobSectionHeader">
Compensation</h2>
$200K &ndash; $400K + Offers Equity 
 
This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.
 
 
In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.
Benefits
We proudly offer the following benefits for our full-time employees:<ul><li>
Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)</li><li>
Medical, Dental, and Vision benefits for you and your family</li><li>
Life Insurance and Disability Benefits</li><li>
Retirement Plan (e.g., 401K, pension)</li><li>
Parental Leave</li><li>
Fertility and family building benefits through Carrot</li><li>
Daily lunches and snacks in the office to keep you at your best</li></ul>
These benefits are described in more detail in Decagon&rsquo;s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
Compensation Range: $200K - $400K</div>

Senior Software Engineer, Platform Engineering

Valence

<div>Valence has built the only first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We&rsquo;re not just talking about the future of work &mdash; we&rsquo;re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology.
Learn more about our work with Microsoft: Valence Brings AI Coaching More Deeply Into the Flow of Work with Microsoft 365
Our focus is on the problems that actually decide whether AI changes how organizations operate &mdash; the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance.
And this isn&rsquo;t for everyone. We&rsquo;re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what&rsquo;s possible, who get bored when things feel &ldquo;done,&rdquo; and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself.<div></div> 
The Role
As a Platform Engineer at Valence, you will build and operate the secure, reliable, and scalable foundation that lets every product and AI team ship Nadia innovations faster and with lower risk. Platform Engineering is Valence's force multiplier: we own the shared control planes for trust and safety, global access and routing, LLM governance, deployment automation, workload isolation, observability and SLOs, and AI-native engineering execution.
Your mandate is simple: increase shipping velocity and customer trust at the same time, by making the safe path the default path. You'll build the paved roads every team uses in production, and enforce minimum production standards through templates, CI/CD gates, scorecards, and time-bound exceptions, so every service is observable, reversible, and secure by default.
We don't expect any one candidate to check every technical box, but we do look for engineers who are eager to learn, iterate rapidly, and contribute across challenges that span reliability, security, global delivery, and developer experience.<div></div> 
About Valence
We're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing.<div></div> 
We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestl&eacute;, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb.<div></div> 
Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.
What You'll Do<ul><li>
Build the paved roads. Design and operate shared platform primitives used by multiple teams (authorization and routing guardrails, secure logging, rollout controls, observability, queue infrastructure, and the centralized LLM gateway) so teams build on standards instead of reinventing them.</li><li>
Make change safe by default. Own the reliability and change-safety systems that let the org move fast without breaking trust: CI/CD gates, migration safety patterns, progressive delivery, rollback automation, and kill switches.</li><li>
Enforce security at the platform layer. Ship secure defaults, policy enforcement frameworks, auditability, and data-access guard libraries so the safe path is the easy path.</li><li>
Run global delivery controls. Implement single-domain strategy, region pinning and routing, residency-aware behavior, and cross-region config consistency checks for enterprise customers worldwide.</li><li>
Raise the operational bar. Establish SLOs, synthetic checks, alerting standards, and incident runbooks and drills that drive faster detection and recovery.</li><li>
Build the internal developer platform. Create service templates, blessed internal-tool paths, and standard deploy, monitoring, and auth patterns that make the right thing the default thing.</li><li>
Operate an AI-native engineering plane. Build issue-to-PR automation infrastructure with governance, human-in-control workflows, and audit logs that convert signals into auditable, human-approved execution outcomes.</li></ul>
What We're Looking For<ul><li>
Technical foundation: 8+ years of experience in software engineering, distributed systems, infrastructure, or platform/SRE roles, with a track record of building systems other teams depend on.</li><li>
Platform mindset: You build reusable primitives, not one-off features. You think in terms of paved roads, secure defaults, and standards that scale across many teams.</li><li>
Reliability and change-safety expertise: Hands-on experience with CI/CD, progressive delivery, rollback and migration safety, observability, SLOs, and incident response.</li><li>
Cloud &amp; deployment experience: Comfortable developing and operating services in cloud environments (AWS, GCP, Azure) and working with containerization and orchestration (Docker, Kubernetes).</li><li>
Security &amp; compliance awareness: Familiarity with implementing platform-level guardrails (authorization, auditability, data-access controls, and policy enforcement) in a privacy- and residency-conscious way.</li><li>
Engineering excellence: Strong software engineering skills, including writing maintainable code, debugging distributed systems, and collaborating in cross-functional teams.</li><li>
Growth orientation: Eagerness to tackle unfamiliar problems, learn new technologies, and shape our platform and culture.</li><li>
Communication: Ability to explain technical ideas clearly and work effectively with both technical and non-technical stakeholders.</li></ul>
What You'll Get<ul><li>
Ownership &amp; Rapid Growth</li><li>
Outsized missions from day one, with direct responsibility for company-defining projects</li><li>
Work alongside the executive team with transparency into strategy and decision-making</li><li>
Influence on direction through real-time customer feedback and market insights</li></ul><div></div><ul><li> 
AI-First Operator</li><li>
Work directly with cutting-edge AI models and next-generation platforms</li><li>
Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries</li><li>
Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale</li></ul><div></div><ul><li> 
Compensation</li><li>
Competitive salary including base + bonuses</li><li>
Comprehensive health coverage (medical, dental, vision) from day one</li><li>
Generous PTO, company-wide R&amp;R shutdowns, and paid parental leave</li><li>
Retirement plan support for US and global employees</li></ul><div></div><ul><li> 
Equity</li><li>
Meaningful ownership in a venture-backed company at a growth inflection point</li><li>
Financial upside that comes from scaling fast</li><li>
Top-up grants as we scale and you deliver exceptional performance &mdash; your compensation grows alongside your impact</li></ul><div></div><ul><li> 
Top-Performing Culture</li><li>
A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together</li></ul><div></div> 
Learn more about us and meet our team here
Location and Work Environment
If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.<div></div> 
Diversity and Inclusion
We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at jobs@valence.co.<div></div> 
Employment Verification &amp; Commitment
We use third-party services to verify employment history, education, and other information relevant to your candidacy. Employment is contingent upon the successful completion of these verification checks. This is a full-time role that requires a high level of focus, availability, and commitment. Employees may not hold concurrent full-time employment with another organization while employed at Valence. Any outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with job responsibilities, availability, performance, or create a conflict of interest - including risks related to confidentiality, intellectual property, or competition.
Valence is committed to protecting the privacy of all applicants. Information you submit will be used for recruiting, evaluation, legal compliance, and recordkeeping purposes only. We do not require access to personal account credentials at any stage of the hiring process. For more information, see our Candidate Privacy Notice.<div></div> 
#LI-HYBRID</div>

Staff Software Engineer, Platform

SERVAL

<div><h1 class="jobSectionHeader">Who We Are</h1>
Serval is an AI-native automation platform transforming how enterprises operate. We build intelligent agents that understand real-world workflows and execute them end-to-end &mdash; replacing manual processes and rigid legacy systems with adaptive, learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion, Perplexity, Vercel, and Brex to automate high-volume, high-friction operational work across their organizations. 
 
At the core of Serval is an agentic AI platform that turns natural language into production-grade workflows. Our agents don&rsquo;t just respond to requests &mdash; they reason, take action across systems, and continuously improve with usage. What began with operational use cases has quickly evolved into a horizontal AI automation layer used across IT, HR, Finance, Security, Legal, and Engineering. 
 
Our mission is to eliminate repetitive, manual work across the enterprise and give teams leverage through intelligent automation. Long term, we&rsquo;re building the universal AI operations layer &mdash; a system of agents that sits across business functions and runs the workflows that keep modern companies moving. 
 
We&rsquo;re backed by leading investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others.
<h2 class="jobSectionHeader">Role Overview</h2>
As a Senior Designer, you'll guide the visual voice of Serval, defining how an AI-native automation platform shows up in the world. You'll concept and execute creative work across every touchpoint: campaigns, web, product marketing, social, motion, print, merch, and events. You'll evolve our brand system and translate the technical depth of what we build into design that's distinctive, considered, and impossible to ignore.
You'll jump fluidly between mediums, owning projects end-to-end from concept to launch with high creative autonomy. You'll partner closely with marketing, product, engineering, and leadership to define how Serval shows up, and you'll set the bar for craft across the team.
This is a hands-on senior IC role on a small, ambitious team &mdash; high ownership, high judgment, and the opportunity to shape the brand of a category-defining company from the ground up.<h2 class="jobSectionHeader"> 
What You'll Do</h2><ul><li>
Concept and execute creative campaigns end-to-end across digital, web, social, print, merch, and live events.</li><li>
Shape and evolve Serval's brand system &mdash; typography, color, illustration, layout, and the visual rules that make our work feel cohesive and unmistakably ours across every surface.</li><li>
Own art direction for omni-channel work: launches, paid campaigns, conference presence, customer stories, and the full suite of marketing collateral (web pages, social assets, ads, decks, one-pagers, swag).</li><li>
Partner with product designers, marketing, engineers, and leadership to translate complex AI workflows into design that's clear, expressive, and memorable.</li><li>
Collaborate with motion designers, copywriters, and external partners to bring big ideas to life &mdash; from storyboard to final delivery.</li><li>
Set the creative bar through feedback, mentorship, and craft, elevating the work of everyone you collaborate with.</li><li>
Experiment relentlessly with AI tools to expand what's possible in visual design &mdash; and to push how fast and how far a small team can go.</li></ul>
What You'll Need<ul><li>
6+ years in hands-on visual, graphic, or brand roles, with a portfolio that shows strong concept thinking, exceptional craft, and the ability to tell a story through design across multiple mediums.</li><li>
A track record of owning campaigns and brand systems from concept through execution &mdash; including 360 work spanning digital, social, video, and physical/event experiences.</li><li>
Expert proficiency in Figma, Illustrator, and Adobe Creative Suite, with comfort working fluidly across static, web, and print.</li><li>
Strong sensibility for typography, layout, hierarchy, and visual systems &mdash; and the judgment to know when a bold choice is the right one and when restraint is.</li><li>
Comfort driving projects end-to-end, giving and receiving direct feedback, and delivering high-quality work under tight timelines in a fast-moving environment.</li><li>
Active experimentation with AI tools</li></ul>
Nice to Have<ul><li>
Experience building or evolving a brand system at an early-stage company, or rebranding work at a more established one.</li><li>
On-set art direction experience for video, photography, or events.</li><li>
Experience mentoring other designers or guiding external contractors.</li></ul><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Impact: Be a key player in shaping the success of our product and company.</li><li>
Growth: Build a fundamentally new AI product offering with the support of our experienced team and investors. Grow rapidly with the company.</li><li>
Culture: Join a culture that values innovation, ownership, accountability, and fun.</li></ul>
Compensation Range: $150K - $200K</div>

Senior Designer

Tamarind Bio

<div><h1 class="jobSectionHeader">About Tamarind Bio</h1>
We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren&rsquo;t feasible until now.
New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.
Staff Software Engineer / Technical Lead
We're hiring a Staff Software Engineer to provide technical leadership across our engineering team as we continue to scale the platform behind Tamarind.
Today, our engineering team consists primarily of early and mid-career engineers. As the complexity of our systems and customer requirements continues to grow, we're looking for someone who can help guide technical decision-making, mentor engineers, and drive architectural discussions across the organization.
This is not an engineering management role.
We're looking for a hands-on technical leader who enjoys writing code, reviewing designs, solving difficult engineering problems, and helping other engineers grow. You'll work closely with the CTO to shape technical direction while remaining deeply involved in execution.
The role spans architecture, infrastructure, product development, code reviews, technical mentorship, and engineering best practices.
What You'll Do<ul><li>
Partner with the CTO on architecture, technical planning, and major engineering initiatives</li><li>
Provide technical guidance across a team of 7-8 engineers</li><li>
Lead design reviews and architectural discussions</li><li>
Help engineers navigate complex technical challenges</li><li>
Contribute directly to the codebase across infrastructure, backend services, APIs, and product development</li><li>
Review code and provide feedback on implementation approaches</li><li>
Identify opportunities to improve reliability, scalability, performance, and developer productivity</li><li>
Support technical decision-making across new products and platform capabilities</li><li>
Work closely with customers and internal stakeholders to understand requirements and translate them into practical solutions</li><li>
Help establish engineering standards as the team continues to grow</li></ul>
Week in the Life<ul><li>
Collaborate with the CTO on technical priorities and architectural decisions</li><li>
Review designs and provide guidance on implementation approaches</li><li>
Build and operate services across infrastructure, ML systems, APIs, and customer-facing applications</li><li>
Participate in code reviews and technical discussions</li><li>
Help unblock engineers working through difficult technical problems</li><li>
Work directly with customers to understand requirements and gather feedback</li><li>
Balance hands-on engineering work with technical leadership responsibilities</li></ul>
Ideal Qualifications<ul><li>
7+ years of software engineering experience</li><li>
Experience serving as a senior technical contributor, staff engineer, principal engineer, or technical lead</li><li>
Strong software architecture and distributed systems experience</li><li>
Experience building and operating production infrastructure and cloud services</li><li>
AWS experience (EC2, S3, DynamoDB, Docker, etc.)</li><li>
Ability to mentor engineers and provide technical guidance across multiple projects</li><li>
Strong communication skills and sound engineering judgment</li><li>
Comfort operating in an early-stage startup environment</li><li>
Willingness to work onsite in San Francisco</li></ul>
Technology
Our technology sits at the intersection of DevOps, MLOps, and Computational Biology. We support workloads ranging from large-scale ML inference and model deployment to workflow orchestration across research, infrastructure, and scientific computing environments.
The role requires someone who enjoys moving between architecture, implementation, operations, and mentorship while helping a growing engineering team tackle increasingly complex technical challenges.
Compensation Range: $150K - $250K</div>

Staff Software Engineer / Technical Lead

Nimble

<div>
 
 About Nimble
 
 
 
 Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We&rsquo;re training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We&rsquo;ve raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world&rsquo;s best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world&rsquo;s most legendary robotics company at the most pivotal moment in history, we want to work with you.
 
 
 We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain &ndash; everything from the inside of factories and warehouses to your front door &ndash; powered by generalist superhumanoids.
 
 
 Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford&rsquo;s AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles).
 
 
 Let&rsquo;s be legendary.
 
 
 Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx
 
 
 Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance
 
 
 
 Why Join Nimble?
 
 
 
 At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.
 
 
 
 Nimble's Core Values
 
 
 
 
 Be relentlessly resourceful
 
 -
 
 Challenge conventions and overcome obstacles.
 
 
 
 
 Be legendary
 
 -
 
 Be the very best and do work that inspires.
 
 
 
 
 Be humble
 
 -
 
 Prioritize growth, learning, and doing whatever is needed to further the mission.
 
 
 
 
 Be dependable
 
 -
 
 Take ownership and deliver with high agency.
 
 
 
 
 About The Role
 
 
 
 We are looking for a Software Engineer III to build the core software powering our next-generation autonomous robots. In this role, you will develop the systems that allow our robots to automate key warehouse functions with high performance and reliability. You will work across robotics and autonomy&mdash;building robust, production-grade software that scales as we deploy more robots into high-throughput warehouse operations. You&rsquo;ll collaborate closely with our AI, hardware, and infrastructure teams to integrate frontier AI capabilities into practical, real-world robotics systems and to continually improve system uptime, performance, and overall intelligence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement services that integrate external partner software into the Nimble stack, defining clear APIs and contracts.
 </li>
 <li>
 Optimize end-to-end warehouse throughput across Nimble software and partner automation systems.
 </li>
 <li>
 Build fault-tolerant software with well-defined error handling and recovery behavior.
 </li>
 <li>
 Drive measurable improvements in autonomy quality, using data and operational metrics to iterate on task success rate, recovery behavior, and system reliability.
 </li>
 <li>
 Collaborate with hardware engineering to deliver seamless software&ndash;hardware integration for new robot platforms and upgrades.
 </li>
 <li>
 Lead technical design reviews and drive architecture decisions for core subsystems and features.
 </li>
 <li>
 Triage, diagnose, and resolve issues in production robotics systems.
 </li>
 <li>
 Mentor cross-functional engineers and technicians, raising the bar on reliability, testing, and operational excellence.
 </li>
 <li>
 Build and maintain integrations with robot platforms, APIs, services, and data systems
 </li>
 <li>
 Develop fault‑tolerant, fail‑safe robotic software and scalable systems
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelors or Masters in Computer Science, or related field, or equivalent experience
 </li>
 <li>
 2-4 years of experience in production‑level coding in C++, Python, or Rust
 </li>
 <li>
 Demonstrated experience or knowledge of distributed systems, backend services, API design, CI/CD, AWS, Kubernetes
 </li>
 <li>
 Demonstrated experience designing scalable systems and leading complex technical projects.
 </li>
 <li>
 Excellent communication skills and ability to collaborate across teams.
 </li>
 <li>
 A proven track record of using analysis to influence high-stakes operational and engineering changes.
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The pay range for this position at the start of employment is expected to be between $160,000 - $210,000/year. Your exact offer may vary depending on multiple individualized factors, including job-related knowledge, skills, and experience. In addition to cash compensation, this position will also receive generous equity for this position.
 
 
 
 Culture
 
 
 
 We embrace challenges and strive to make the impossible possible each day. We&rsquo;re not in this to do what&rsquo;s easy or to be mediocre. We want to create something legendary and leave our mark on the world. We&rsquo;re ambitious, we&rsquo;re gritty, we&rsquo;re humble and we&rsquo;re relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit!
 
 
 Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws.
 
 
 
 Nimble's Benefits
 
 
 
 
 Unlimited Flexible Time Off
 
 
 
 Enjoy the time you need to travel, rejuvenate, and connect with friends and family.
 
 
 
 Health Insurance
 
 
 
 Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.
 
 
 
 Paid Parental Leave
 
 
 
 Enjoy paid bonding time following a birth.
 
 
 
 Commuter Benefits
 
 
 
 Take the stress out of commuting with access to fully paid parking spots.
 
 
 
 Referral Bonus
 
 
 
 Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring.
 
 
 
 401k
 
 
 
 Contribute towards a 401k for retirement planning.
 
 
 
 Equity
 
 
 
 Be an owner in Nimble through our equity program
</div>

Software Engineer III, Robot Throughput

General Medicine

<div>About General Medicine
As a mobile engineer at General Medicine, you'll help build and scale a healthcare store that makes it delightfully simple to shop for any type of care. We provide upfront cash and insurance prices for virtual and in-person visits, prescriptions, labs, imaging, and more.
What we're looking for
We're looking for a mobile engineer to build our first native mobile app using React Native. This is a foundational hire &mdash; you'll be responsible for helping to stand up the mobile app from scratch, making key architectural decisions, and setting the patterns that the rest of the team builds on top of.
Our ideal candidate has shipped and maintained React Native apps in production, and deeply understands the boundaries between React Native and native iOS/Android. You should be comfortable dropping into Swift or Kotlin when needed &mdash; e.g. for HealthKit integrations, push notifications, or video calling SDKs &mdash; but spend most of your time in TypeScript and React. You should also be willing to work on our Next.js web frontend; we think of mobile and web as one surface area, not two separate teams.
Beyond mobile expertise, we're looking for someone who cares deeply about technical excellence but is also comfortable moving quickly. We are constantly navigating tradeoffs between engineering velocity and quality. Our ideal candidate is hungry, high-agency, and aspires to be a generalist. Our engineers frequently write product requirements documents, write SQL to understand how features are performing, and own QA &mdash; no task is beneath us or outside of the scope of the role if it helps us to deliver a great product. We're looking for someone who can operate in an environment of significant ambiguity, and who is comfortable working closely with design, operations, and clinical stakeholders.
We don't expect you to have a healthcare background (though it's great if you do!). However, you should be excited by the prospect of digging into the messy complexities of the American healthcare system (integrating with EHRs, revenue cycle management, etc).
Qualifications<ul><li>
3+ years of experience building mobile apps, with meaningful production experience in React Native</li><li>
Strong understanding of native iOS and/or Android development (Swift, Kotlin) &mdash; you don't need to be an expert in both, but you should be comfortable with either</li><li>
Experience with Expo, including build tooling, OTA updates, and native module configuration</li><li>
Proficiency with TypeScript and React</li><li>
Experience architecting shared code between mobile and web codebases (or a strong opinion on how to do it well)</li><li>
Familiarity with modern backend frameworks is a plus &mdash; we use Ruby on Rails and Postgres</li></ul>
Please note that this role is based in either our SF office (near Market and Spear St) or our Boston office (Central Square, Cambridge). We expect our team to work from the office a minimum of 3 days per week, and ideally 4 or 5.
Why join us
We're an experienced team that has built a company in this space before, our product has clear product-market fit, and we've raised money from top investors.
We have an ambitious and distinctive vision for what can be built in consumer healthcare. We believe LLMs and price transparency legislation have opened up several massive opportunities.
If you're an ambitious and entrepreneurial mobile engineer and this resonates, please apply.</div>

Mobile Engineer (SF)

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