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Eli Lilly

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
 
Locations: San Diego, CA; San Francisco, CA; Boston, MA; Louisville, CO; Indianapolis, IN
 
Lilly Small Molecule Discovery is purpose-built to create molecules that make life better for people. Discovery Technology and Platforms (DTP) accelerates molecule discovery by building optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and investing in novel capabilities.
 Data Foundry is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Automation & Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities—serving both human scientists and autonomous AI agents.
 
Position Summary
 
We are seeking an Engineer - MLOps & Scientific Platforms - Data Foundry to operationalize Data Foundry’s scientific tools and analytical methods into actionable-prototypes. You will build the ML deployment pipelines, model serving infrastructure, API layers, and observability guardrails that make our scientific discovery methods and tools reliable, scalable, and consumable, both by discovery scientists and by the Frontier AI group’s autonomous agents.
 This role sits at the interface between Methods4Insight (which develops analytical methods) and Architecture4Insight(which provides the agile data infrastructure). Your job is to ensure every scientific tool Data Foundry produces are analytics-ready, well-monitored, and exposed through APIs with the response-time guarantees and error handling that both human users and AI agents require.
 
Responsibilities
 
MLOps & Model Lifecycle Management
 
<ul>
<li>Build and maintain end-to-end ML deployment pipelines: experiment tracking, model versioning (MLflow, Weights & Biases), containerized model serving, and automated retraining triggers.</li>
<li>Develop model registry infrastructure and feature engineering pipelines that enable computational scientists to access models.</li>
<li>Implement monitoring and alerting for data pipelines, APIs, ML models, and agentic systems (LLMOps) to ensure system reliability and performance at scale.</li>
<li>Build dashboards and metrics tracking for pipeline execution, API latency, token usage, model prediction quality, and system health</li>
<li>Establish structured logging and tracing infrastructure for debugging and performance optimization across scientific data systems</li>
</ul>
Scientific Tool Agile Deployment
 
<ul>
<li>Deploy predictive and analytical methods from Methods4Insight (e.g. cheminformatics, structural biology, bioinformatics, reaction informatics) with versioning, structured error handling, and response-time guarantees that enable insight generation in agile manner. Productionize when and where needed in partnerships with Tech@Lilly.</li>
<li>Build serving infrastructure supporting both synchronous (interactive scientist queries) and asynchronous (batch and agent-invoked) workloads in partnership with Tech@Lilly and Frontier AI.</li>
<li>Define and implement API contracts, documentation standards, and testing frameworks that ensure scientific tools are analysis ready, robust and consumable by external teams including Frontier AI.</li>
</ul>
Platform Engineering & Integration
 
<ul>
<li>Build and operate cloud-native model serving infrastructure (AWS, Azure, or GCP) using containers, Kubernetes, and infrastructure-as-code.</li>
<li>Develop CI/CD pipelines for ML models: automated validation, A/B testing, canary deployments, and rollback procedures.</li>
<li>Integrate model serving with Data Foundry’s data pipelines, ensuring models have access to properly formatted, versioned training and inference data.</li>
</ul>
Frontier AI Interface & Collaboration
 
<ul>
<li>Partner with the Frontier AI team and Tech@Lilly to ensure Data Foundry’s scientific tools are exposed via well-defined interfaces (REST APIs, MCP-compatible endpoints) that agents can invoke programmatically.</li>
<li>Collaborate on API performance requirements: latency targets, throughput guarantees, and graceful degradation under load.</li>
<li>Work with Methods4Insight scientists to ensure deployed models include appropriate uncertainty quantification and confidence metrics.</li>
</ul>
Basic Requirements
 
<ul>
<li>B.S. or M.S. in Computer Science, Data Science, Machine Learning, Bioinformatics, Computational Biology, or related field.</li>
<li>3+ years of experience in MLOps, ML engineering, or scientific platform development</li>
<li>Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.</li>
</ul>
Preferred Qualifications
 
<ul>
<li>Pharmaceutical or biotech research industry experience.</li>
<li>Strong Python skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and ML lifecycle tools (MLflow, W&B, Kubeflow, or similar).</li>
<li>Proven track record building and deploying production model serving infrastructure — containerized endpoints, RESTful/gRPC APIs, and operational monitoring</li>
<li>Working knowledge of cloud platforms (AWS, Azure, or GCP), Kubernetes, and CI/CD automation.</li>
<li>Strong communication skills with ability to collaborate across computational scientists, software engineers, and partner teams.</li>
<li>Experience operationalizing scientific or computational models (cheminformatics, bioinformatics, structural biology, QSAR, molecular simulations, PK/PD, systems biology, or ODE-based models).</li>
<li>Hands-on experience with model monitoring, drift detection, and automated retraining systems.</li>
<li>Familiarity with API gateway patterns, event-driven architectures, and service mesh technologies.</li>
<li>Experience with feature stores, data versioning (DVC), or experiment tracking at scale.</li>
<li>Exposure to AI agent frameworks (MCP, LangChain) or building APIs that AI systems invoke programmatically.</li>
<li>Experience with C, C++, CUDA, or GPU-accelerated computing for optimizing model training/inference performance; familiarity with containerizing HPC workloads (Singularity/Apptainer).</li>
</ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
 
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
 
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is
 $66,000 - $165,000
 
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
 
#WeAreLilly

Engineer - MLOps & Scientific Platforms - Data Foundry

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

OpenAI

<div>
 
 About The Team
 
 
 
 OpenAI&rsquo;s
 
 Financial Engineering (FinEng)
 
 team powers how revenue flows through our products&mdash;pricing &amp; packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide.
 
 
 
 About The Role
 
 
 
 As a Data Scientist on FinEng, you&rsquo;ll own the analytics and experimentation that improve our
 
 checkout and payments
 
 ,
 
 subscriptions
 
 , and
 
 pricing &amp; monetization
 
 systems. You&rsquo;ll define the metrics that matter, build the source-of-truth data assets, and design experiments that increase conversion, reduce churn and payment failures, and expand global payment method coverage. Your work will directly influence revenue, customer experience, and how we scale internationally.
 
 
 This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
 
 
 
 In this role, you will
 
 
 
 <ul>
 <li>
 Own checkout &amp; payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency.
 </li>
 <li>
 Build and run the experimentation program for in-house checkout&mdash;define success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren&rsquo;t feasible.
 </li>
 <li>
 Create operational visibility and source-of-truth data with FinEng Data Engineering&mdash;land team-level metrics, SLAs, and self-serve dashboards that drive proactive action.
 </li>
 <li>
 Lead subscription, retention, and monetization analytics&mdash;ship launch-readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality.
 
 
 </li>
 </ul>
 
 You might thrive in this role if you have
 
 
 
 <ul>
 <li>
 5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments
 </li>
 <li>
 Fluency in SQL and Python, with a track record designing and interpreting A/B tests and quasi-experiments
 </li>
 <li>
 Experience building product metrics from scratch and operationalizing them for decision-making
 </li>
 <li>
 Excellent communication skills with PMs, engineers, risk/finance partners, and executives
 </li>
 <li>
 Strategic instincts beyond significance tests&mdash;clear thinking about tradeoffs (conversion vs. risk vs. cost vs. user experience)
 
 
 </li>
 </ul>
 
 You could be an especially great fit if you have
 
 
 
 <ul>
 <li>
 Payments, checkout, or subscription analytics experience (PSPs, bank rails, disputes/refunds, risk, e-commerce)
 </li>
 <li>
 Background in offline incrementality methods, uplift modeling, CUPED/causal inference, or counterfactual evaluation
 </li>
 <li>
 Experience with internationalization/local payments, FX, and pricing &amp; packaging strategy
 </li>
 <li>
 Comfort building operational analytics (alerting, SLIs/SLOs) and partnering closely with data engineering
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $230K - $385K
 
 
</div>

Data Scientist, Financial Engineering

Ethos Risk Services

<div>ABOUT US:
Ethos Risk Services is a leading insurance claims investigation and medical management company, specializing in surveillance and fraud detection. At the forefront, we provide accurate data and actionable insights that translate into better decision-making for our clients. 
JOB SUMMARY:
Our dynamic Ethos team is seeking a Special Unit Investigations (SIU) Field Investigator to conduct field investigations, gather and analyze evidence, and produce detailed reports that support claims decisions. You'll work both independently and collaboratively, often traveling to accident scenes, interviewing witnesses, and uploading documentation into our claims system. 
KEY RESPONSIBILITIES:<ul><li>
Scene Investigations: Conduct thorough on-site investigations of accidents and property losses.</li><li>
Interviews &amp; Statements: Conduct in-person interviews and obtain accurate, detailed statements from all parties involved.</li><li>
Online Research: Gather case information through digital sources and background checks.</li><li>
Report Writing: Draft thorough, detailed investigative reports summarizing findings and observations.</li><li>
Case Documentation: Conduct in-person interviews and obtain accurate, detailed statements from all parties involved, and retrieve relevant documents to support investigative findings.</li><li>
Case Management: Track case progress, time, and expenses accurately within Ethos systems.</li><li>
Fraud Detection: Recognize compensability issues, misrepresentation, and other red flags in claims.</li><li>
Client Communication: Maintain professional contact with clients and claim handlers throughout the investigation process.</li></ul> 
QUALIFICATIONS:
Education: Associate's or Bachelor's degree in Criminal Justice or a related field preferred.
Experience:<ul><li>
Minimum of 2 years of SIU experience with an investigative firm or insurance carrier, working across various lines of business such as liability, auto, and property.</li><li>
Former military or law enforcement background preferred.</li></ul>
Licenses/Certifications:<ul><li>
Active Private Investigator license or willingness to obtain one (where required by state).</li><li>
Active driver's license and valid auto insurance.</li></ul>
Other Requirements:<ul><li>
A well-maintained and reliable vehicle for exclusive use.</li><li>
SIU equipment, including a recorder and a high-quality digital camera.</li><li>
A reliable laptop, cell phone, and internet service are needed for communication and administrative tasks.</li></ul> 
WORKING CONDITIONS:<ul><li>
While we aim to keep assignments within a 2-hour drive of your residence, occasional further travel and overnight stays (covered by the company) may be required.</li><li>
Occasional weekend work may be required to align with case demands and or/client requests.</li></ul> 
Ethos Risk Services is an equal opportunity employer that does not discriminate on the basis of religious creed, sex, national origin, race, veteran status, disability, age, marital status, color or sexual orientation or any other characteristic.</div>

Special Investigations Unit (SIU) - Field Investigator

Davey Tree

<div>Landscape Technician
Company: The Davey Tree Expert Company
 
Locations: San Francisco, CA
 
Additional Locations: none 
Work Site: On Site
 
Req ID: 225629<div><div><div><h2 class="jobSectionHeader">
Position Overview</h2></div><div>
The CLS Landscape Technician is responsible for the maintenance, care, and enhancement of client turf and grounds landscape projects and services, working with various tools and equipment to ensure landscapes and outdoor spaces are well-maintained and visually appealing. This is a seasonal position, depending on the regional location.
This a part-time position requiring 24-23 hours a week.
The rate of Pay is $20.00-$23.00 / hour base on experience</div></div><div><div><h2 class="jobSectionHeader"> 
Job Duties</h2></div><div><ul><li>Operate, clean, and maintain various vehicles and landscape equipment.</li><li>Mow, trim, and edge lawns.</li><li>Plant and care for plants, trees, and shrubs.</li><li>Follow all safety guidelines</li><li>Report to the supervisor regularly.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Qualifications</h2></div><div><ul><li>Must be at least 18 years of age to work in the field.</li><li>Ability to complete required safety courses upon hire.</li><li>Ability to complete Davey Career Development Program (CDP) books.</li><li>Ability to acquire applicator licenses as necessary per state requirements</li><li>Ability to operate power equipment</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Additional Information</h2></div><div><div>
What We Offer [Benefits]: 
We invest in our employees by offering industry-leading training, technology, and benefits that lead to a rewarding and safe work experience for employees at all levels. 
<ul><li>Group health plans*</li><li>Short-term and long-term disability insurance*</li><li>Life insurance*</li><li>Paid parental leave</li><li>401k with up to a 4% company match**</li><li>Employee Stock Purchase Plan: Opportunity to buy company stock at a 15% discount</li><li>Holidays and paid time off*</li><li>Payroll savings plan*</li><li>Charitable matching gift program*</li><li>Employee referral bonus program*</li><li>Employee Educational Scholarship*</li><li>Davey Family Scholarship*</li><li>20% discount on all Davey services*</li><li>Cell phone discounts*</li><li>Vehicle purchase discount program*</li><li>Plus, so much more!</li></ul></div><ul><li>All listed benefits available to eligible employees on Day 1.</li></ul>
** Union employees are not eligible for a 401k plan, but may be eligible to join pension plans negotiated by their local union.</div></div><div><div><h2 class="jobSectionHeader">
Company Overview</h2></div></div><div></div><div><div><h2 class="jobSectionHeader">
Divisional Overview</h2></div></div></div><div></div>
The Davey Tree Expert Company is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected class, including race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national or ethnic origin, marital or familial status, disability, status as a protected veteran, status as an Aboriginal or Indigenous person, or other classification protected by law.
The Davey Tree Expert Company provides research-driven tree services, grounds maintenance and environmental consulting for residential, utility, commercial and environmental partners in the U.S. and Canada. We care about our clients, each other and the world around us. We offer the resources, size and stability of a big company while maintaining the culture, entrepreneurial spirit and feel of a small one. We invest in our employees by offering industry-leading training, technology and benefits that lead to a rewarding and safe work experience at all levels. Wherever you want to grow your career, there&rsquo;s a place for you at Davey. To learn more, visit Davey.com.
Accommodations: If requested by employee or otherwise as required by law, reasonable accommodations will be made to enable employees with disabilities to perform essential job functions.
If you need assistance at any time, please contact us at 1-877-411-7601 or at Recruiting@davey.com.
Employment Type: Permanent 
Job Type: Part Time 
Travel Expectations: Up to 25%</div>

Landscape Technician

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

Figma

<div>
 Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma&rsquo;s platform helps teams bring ideas to life&mdash;whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
 
 
 We are looking for an experienced Data Engineer to partner with our Data Science and Data Infrastructure teams to own and scale our data pipelines. You&rsquo;ll also work closely with stakeholders across business teams including sales, marketing, and finance to ensure that the data they need arrives promptly and reliably. You&rsquo;ll play an integral role in building the metrics and self-serve reporting capabilities to unlock Figma&rsquo;s next phase of growth.
 
 
 This is a great role for an individual who is passionate about working with data and data systems, and who loves solving problems. You&rsquo;ll have a good sense for when it makes sense to build fast, scrappy solutions to unblock a key stakeholder vs. when to push back or bring in an outside service. The ideal candidate will be a great communicator who can help coordinate across multiple internal and external teams and takes pride in building end-to-end projects.
 
 
 This is a full time role that can be held from one of our US hubs or remotely in the United States.
 
 
 
 What you'll do at Figma
 
 
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 Own, build, and maintain scalable data pipelines that connect various cloud data sources.
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 Develop a deep understanding of Figma&rsquo;s core data models and optimize data pipelines for scale.
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 Partner with the Data Science and Data Infrastructure teams to build new foundational data sets that are trusted, well understood, and enable self-service.
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 Work with a wide range of cross-functional stakeholders to derive requirements and architect shared datasets; ability to document, simplify and explain complex problems to different types of audiences.
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 Establish best practices for the development of specialized data sets for analytics and modeling.
 
 
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 We'd love to hear from you if you have:
 
 
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 4+ years in a relevant field.
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 Fluency with both SQL and Python.
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 Familiarity with Snowflake, dbt, Dagster, and ETL/reverse ETL tools.
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 Excellent judgment and creative problem solving skills.
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 A self-starting mindset along with strong communication and collaboration skills.
 
 
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 While not required, it&rsquo;s an added plus if you also have:
 
 
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 Knowledge in data modeling methodologies to design and build robust data architectures for insightful analytics.
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 Experience with business systems such as Salesforce, Customer IO, Stripe, NetSuite is a big plus.
 
 
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 At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
 
 
 
 Pay Transparency Disclosure
 
 
 
 If based in Figma&rsquo;s San Francisco or New York hub offices, this role has the annual base salary range stated below.
 
 
 Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.
 
 
 Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental &amp; vision, retirement with company contribution, parental leave &amp; reproductive or family planning support, mental health &amp; wellness benefits, generous PTO, company recharge days, a learning &amp; development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma&rsquo;s compensation and benefits are subject to change and may be modified in the future.
 
 
 Annual Base Salary Range:
 
 
 $140,000&mdash;$348,000 USD
 
 
 At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
 
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 or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
 
 
 We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
 
 
 Examples of accommodations include but are not limited to:
 
 
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 Holding interviews in an accessible location
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 Enabling closed captioning on video conferencing
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 Ensuring all written communication be compatible with screen readers
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 Changing the mode or format of interviews
 
 
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 To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
 
 
 By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
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Data Engineer

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