Base is America’s next-generation power company. We’re rebuilding the foundation of modern civilization–electricity–by deploying a vast network of distributed batteries that is transforming today’s fragile, centralized grid into a resilient and abundant system. We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time.
About the Role
We process data from across the entire company: firmware telemetry from thousands of deployed batteries, ERCOT market signals, manufacturing test benches, lab equipment, and grid operations. As a Software Engineer on the Data Infrastructure team, you will design, build, and operate the backend data infrastructure that powers how we understand and run our business.
This is a backend engineering role with a deep data focus. You won't just model schemas; you'll own the pipelines, systems, and platforms that move and transform data at every layer of the stack. You'll work closely with software engineers, hardware teams, markets, and operations to understand what data they need and build the systems that reliably deliver it.
What you'll do
Backend data systems: Build and maintain the core backend systems that ingest, transform, and serve data across the company -- from raw telemetry and operational events to clean, queryable datasets used in dashboards, models, and APIs.
Pipeline development and operations: Design, build, and operate reliable batch and streaming data pipelines with a focus on correctness, performance, and scalability. Own ETL processes end-to-end, from source system integration through to production delivery.
Data modeling and architecture: Build foundational schemas and canonical datasets that store high-volume time-series and event data in a way that stays searchable, performant, and scalable. Own core data models used across the company for analytics, reporting, and decision-making.
Diverse data integration: Manage ingestion across a wide range of data sources -- IoT telemetry, third-party APIs, operational systems, and internal services -- and build the infrastructure to synchronize and join them reliably.
Visualization and accessibility: Build and maintain platforms that let cross-functional teams query, explore, and visualize data without needing to understand the underlying infrastructure.
Data quality and governance: Ensure source-of-truth datasets are consistent, documented, and trustworthy. Improve observability so teams can use data with confidence.
Architecture evolution: Help define and evolve our data architecture, tooling, and best practices as we scale. You'll have real input into how we build -- not just what we build.
What you'll bring
5+ years in data engineering or backend engineering with a strong data focus
Deep experience building data infrastructure -- data warehouses, data lakes, streaming systems, or similar (e.g., BigQuery, Snowflake, Redshift, Databricks)
Strong coding skills in Python and SQL; experience with Go or another compiled language is a plus
Comfortable building and maintaining production pipelines using modern orchestration frameworks (e.g., Airflow, Prefect, dbt)
Experience integrating diverse data sources -- APIs, event streams, relational databases, flat files
Deep care about data quality, schema design, and building systems others can trust and extend
Familiarity with cloud infrastructure and infrastructure-as-code (e.g., GCP or AWS, Terraform)
Comfortable working in fast-moving environments with evolving requirements -- you write simple, reliable systems that solve real problems, not over-engineered ones
About the team
America's power grid is failing -- electricity costs have risen even as generation gets cheaper, and blackouts are becoming more common. We're building the software that fixes it. Our team owns the entire stack: firmware that controls batteries in thousands of homes, trading algorithms that buy and sell power in real-time markets, distributed commanding systems that orchestrate a growing fleet as a single grid asset, factory software for our Austin manufacturing line, and the product experience that makes it all invisible to homeowners. If you want to write code that physically moves electrons, ships hardware, and reshapes critical infrastructure, this is the job.
Please note: Base is a startup, which means priorities shift and evolve quickly. Your role may expand or change based on the needs of the business at any given time, so the responsibilities listed may not be exhaustive.
Our Values
First Principles Thinking: Question assumptions. Principles > rules.
Operate at Base Pace: Focus on what matters, act quickly, and learn by doing.
Give & Get Feedback: Be direct, be humble, and maintain a growth mindset.
Everyone’s an Owner: Follow through on commitments and own results.
Strong Opinions, Loosely Held: Drive clarity and make calls with imperfect information.
Committed to the Mission: Rebuilding the grid is a big challenge. We work hard because we care deeply about the impact we’re creating. We work in-person. It’s not a 9-to-5. We are all-in.
Fun & Optimism Coexist with Grit: Collaboration and celebration coincide with the intensity of building real things.
Do the best work of your life at Base.
Listed by Base Power Company for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
244 days ago
Enterprise Engineer
Cartesia · San Francisco, California, United States
Enterprise Engineer
LOCATION
*HQ - San Francisco, CA
EMPLOYMENT TYPE
Full time
LOCATION TYPE
On-site
DEPARTMENT
Engineering
COMPENSATION
$180K – $250K • Offers Equity
Overview
Application
ABOUT CARTESIA
Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
ABOUT THE ROLE
We’re hiring an Enterprise Engineer to advance our mission of building real-time multimodal intelligence by delivering agentic voice AI solutions directly into production for our customers.
YOUR IMPACT
Architect and build enterprise-grade systems such as On Prem Deployments & Agent Infrastructure
Own the design and delivery of durable, first-class platform capabilities shaped by enterprise needs — the abstractions, core changes, and infrastructure that Cartesia's largest customers build on top of
Turn recurring patterns from customer deployments (gaps, incident themes, eval results) from one-off workarounds into scalable, long-term platform primitives
Define and raise the bar for reliability, security, and operational maturity across Cartesia's enterprise surface area
You'll have significant ownership over the core capabilities that determine whether Cartesia can scale across the most demanding enterprise environments globally
WHAT YOU BRING
Strong backend engineering fundamentals — you've designed and shipped infrastructure, platform services, or core abstractions that other teams build on top of
Proficiency in Go and/or Python
You think in terms of long-term maintainability and modularity
You’re good at collaborating cross-functionally and translating customer feedback into actionable product and platform improvements
NICE-TO-HAVES
Experience with enterprise-grade concerns: deployment in customer-managed infrastructure (VPCs, on-prem), compliance regimes, observability, multi-tenancy, and security hardening
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
MORE DETAILS
🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day.
🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.
🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.
OUR BENEFITS (US EMPLOYEES ONLY)
💰 Compensation Competitive base salary alongside attractive equity package.
🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
🧑🧑🧒🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave
🏦 401(k)
🚆 Commuter Allowance A monthly stipend to help you get to and from the office.
🏖️ Flexible PTO Take as much time as you need to recharge your batteries.
🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
🦖 Your own personal Yoshi
OUR COMMITMENT TO EQUAL OPPORTUNITY
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
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Listed by Cartesia for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
244 days ago
Sr. Forward Deployed Engineer (FDE) - Public Sector
ABOUT CARTESIA
Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
ABOUT THE ROLE
We’re hiring an Enterprise Engineer to advance our mission of building real-time multimodal intelligence by delivering agentic voice AI solutions directly into production for our customers.
YOUR IMPACT
- Architect and build enterprise-grade systems such as On Prem Deployments & Agent Infrastructure
- Own the design and delivery of durable, first-class platform capabilities shaped by enterprise needs — the abstractions, core changes, and infrastructure that Cartesia's largest customers build on top of
- Turn recurring patterns from customer deployments (gaps, incident themes, eval results) from one-off workarounds into scalable, long-term platform primitives
- Define and raise the bar for reliability, security, and operational maturity across Cartesia's enterprise surface area
- You'll have significant ownership over the core capabilities that determine whether Cartesia can scale across the most demanding enterprise environments globally
WHAT YOU BRING
- Strong backend engineering fundamentals — you've designed and shipped infrastructure, platform services, or core abstractions that other teams build on top of
- Proficiency in Go and/or Python
- You think in terms of long-term maintainability and modularity
- You’re good at collaborating cross-functionally and translating customer feedback into actionable product and platform improvements
NICE-TO-HAVES
- Experience with enterprise-grade concerns: deployment in customer-managed infrastructure (VPCs, on-prem), compliance regimes, observability, multi-tenancy, and security hardening
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
MORE DETAILS
🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day.
🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.
🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.
OUR BENEFITS (US EMPLOYEES ONLY)
💰 Compensation Competitive base salary alongside attractive equity package.
🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
🧑🧑🧒🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave
🏦 401(k)
🚆 Commuter Allowance A monthly stipend to help you get to and from the office.
🏖️ Flexible PTO Take as much time as you need to recharge your batteries.
🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
🦖 Your own personal Yoshi
OUR COMMITMENT TO EQUAL OPPORTUNITY
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
Listed by Cartesia for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
244 days ago
Sr. Forward Deployed Engineer (FDE) - Public Sector
ABOUT CARTESIA
Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
ABOUT THE ROLE
Data is one of the most critical inputs to frontier AI. In this role, you'll work across the full data stack - from infrastructure and web-scale data pipelines to modeling and evaluation. You'll develop a deep understanding of how data influences model performance and leverage that knowledge to advance the frontier of multimodal datasets to create new capabilities for AI.
YOUR IMPACT
- Design and build high-quality datasets for model training and run controlled modeling experiments to measure their impact on model performance and behavior.
- Engineer web-scale data pipelines and build systems to annotate and ensure data quality at scale.
- Develop techniques for post-training and synthetic data generation to improve model quality and intelligence.
WHAT YOU BRING
- Experience building or working with large multilingual datasets
- Experience with generative models (speech, text, or multimodal).
- Ability to help guide human annotation and evaluation across multiple languages.
- Strong applied ML background with a focus on data-centric approaches.
- Excitement for building scalable systems that bridge research and production.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
MORE DETAILS
🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day.
🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.
🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.
OUR BENEFITS (US EMPLOYEES ONLY)
💰 Compensation Competitive base salary alongside attractive equity package.
🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
🧑🧑🧒🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave
🏦 401(k)
🚆 Commuter Allowance A monthly stipend to help you get to and from the office.
🏖️ Flexible PTO Take as much time as you need to recharge your batteries.
🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
🦖 Your own personal Yoshi
OUR COMMITMENT TO EQUAL OPPORTUNITY
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
Listed by Cartesia for a position based in the United States. Employers on this board attest they are hiring domestically.
Specialist Solutions Architect - Data Warehousing (Healthcare & Life Sciences), Northeast - United States. Join us! Together we can use data to solve the challenges of tomorrow
Listed by Databricks for a position based in the United States. Employers on this board attest they are hiring domestically.
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