Field Quality Engineer, Energy Storage

Redwood Materials is currently searching for a Field Quality Engineer to join as an early member of a new engineering team working on our Battery Energy Storage System product line. You will be responsible for ensuring the quality, reliability, and safety of deployed Battery Energy Storage System (BESS) assets by identifying, investigating, and preventing field issues. This role works closely with Operations & Maintenance (O&M) teams that perform routine monitoring and maintenance, and with Service Engineering, which owns advanced technical escalation. 

The Field Quality Engineer serves as the frontline quality owner in the field, focusing on identifying systemic quality issues, conducting structured investigations, and driving corrective and preventive actions. This role plays a critical part in reducing repeat failures, improving fleet reliability, and feeding real world learnings back into engineering, suppliers, and operational processes. You’re a doer, excited about getting your hands dirty and working in a dynamic, fast-paced setting, and want to shape a new department at Redwood.

Responsibilities will include:

Infrastructure Software Engineer, Energy Storage 

The Infrastructure Engineer is responsible for designing, building, and maintaining the foundational platform infrastructure that enables our engineering team to develop and deploy Battery Energy Storage Systems reliably and at scale. This role serves as a force-multiplier across the organization, owning edge fleet management, server provisioning, and deployment automation while ensuring systems are secure, scalable, and performant. The position partners closely with cross-functional engineering teams to translate early deployment learnings into platform improvements and drive resolution of scalability, reliability, and security challenges. Success in this role requires deep technical expertise, a collaborative mindset, and the ability to thrive in an ambiguous, fast-paced, early-stage environment. 

Responsibilities will include: 

• Design and own the rollout of edge Kubernetes fleet management, automated server provisioning, and software update pipelines to support scalable and reliable system deployment. 
• Evaluate server hardware and operating systems to help define the architecture of the organization's next-generation energy storage platform. 
• Identify and resolve hard infrastructure problems, including scalability bottlenecks, reliability gaps, performance issues, and security vulnerabilities. 
• Build and maintain tooling and services used to validate software systems at scale, including performance and reliability testing frameworks. 
• Serve as a technical resource for the broader engineering team through pair programming, in-office working sessions, and hands-on project leadership. 
• Translate learnings from early deployments and customer pilots into concrete, measurable improvements to platform infrastructure. 
• Reinforce a team culture grounded in engineering excellence, curiosity, inclusivity, and a willingness to take action and learn from mistakes. 

Desired Qualifications: 

• 5+ years of relevant industry experience in infrastructure, platform, or site reliability engineering. 
• Strong grasp of system design principles and real-world experience building available, reliable, scalable, and secure distributed systems. 
• Experience designing, implementing, and maintaining secure network systems and infrastructure. 
• Genuine interest in server hardware fundamentals and how software and hardware interact at the platform level. 
• Ability to work comfortably with ambiguity, prototype solutions iteratively, and learn rapidly from early-stage work. 
• Strong written and verbal communication skills, with the ability to explain complex systems clearly to both technical and non-technical audiences. 
• Ability to manage multiple workstreams, shifting priorities, and competing deadlines in a fast-paced, early-stage environment. 

POSITION SUMMARY:

The Business Process Manager (BPM) will support enterprise-wide process and systems transformation across multiple value streams (GTM, Finance, Operations, Partner, Support). This role sits within the Global Business Process team under the COO organization and serves as a key bridge between business stakeholders and the Business Systems Group (BSG).

The role helps standardize communication, resolve conflicting requirements, and foster effective interactions between business teams and technical teams. Leveraging data-driven insights and knowledge of enabling technologies, the individual manages significant business process improvement initiatives beyond incremental changes. This role leads discovery efforts, documents high-level solution approaches and business requirements, and drives business readiness through User Acceptance Testing (UAT), training, and enablement.

Under the direction of the Sr. Manager, Business Process, this role supports the development and continuous improvement of business process architecture for assigned operational domains such as Sales, Customer Success, Cloud Engineering, Supply Chain, Logistics and Support. The role conducts gap analyses, designs future-state (“To-Be”) processes using industry-standard frameworks and best practices and improves requirement quality through standardized documentation and prioritization. The position also leads assigned cross-functional initiatives to support timely delivery, risk mitigation, user adoption, and alignment with organizational goals.

The ideal candidate brings strong analytical, facilitation, and cross-functional leadership skills, and is effective at influencing stakeholders without formal authority in a fast-paced environment.

This position is based in the San Francisco office and requires in-office attendance Monday, Wednesday, and Thursday.

ESSENTIAL FUNCTIONS:

1. Business Process Design and Analysis
   1. Support and maintain end-to-end business process architecture and process documentation for assigned business processes, aligned with enterprise strategy and standards.
   2. Lead transformation initiatives by conducting gap analyses between current ("As-Is") and ideal ("To-Be") end-to-end processes.
   3. Leveraging internal SMEs, industry-standard frameworks, and best practices, design future-state processes that are efficient and scalable globally pertaining to Record to Report, Procure to Pay, Billing, Subscription Management, Revenue Recognition, Renewals.
   4. Collaborate with GTM functions and cross-functional stakeholders to gather and translate high-priority business requirements into effective process solutions for New Product Launch.
   5. Solution and document UX requirements thoroughly to ensure solutions are user-friendly, drive high adoption rates, and align with business needs.
   6. Validate business requirements for compatibility with enterprise architecture, data strategies, and system capabilities, ensuring they support global scalability.
2. Business Process Automation and Continuous Improvement
   1. Lead and advocate for automation projects with the Business Systems Group to streamline and scale critical business processes, leveraging Salesforce.com CRM, NetSuite, Tableau, Marketing Tool and other core technologies.
   2. Introduce innovative solutions by staying updated on industry trends and integrating best practices into process improvements.
   3. Identify significant improvement opportunities using data-driven insights and measure impacts with established metrics and KPIs.
   4. Enhance UX by ensuring process improvements are user-centric, well-documented, and supported by effective training and change management.
   5. Collaborate with technology teams to implement business processes that utilize core technology functionality and minimize customization.
3. Program and Change Management
   1. Lead cross-functional programs focused on timely delivery, risk mitigation, and alignment with business strategy and objectives.
   2. Develop comprehensive testing plans, including user acceptance testing (UAT), to ensure solutions meet quality standards and deliver stated benefits.
   3. Implement structured change management processes, including training and resource support, to facilitate the seamless adoption of new processes.
   4. Promote continuous improvement by encouraging feedback and incorporating it into future enhancements, guiding stakeholders in improvement techniques.
   5. Maintain a centralized repository for change management materials and project updates to enhance accessibility and knowledge sharing.

SUPPORTIVE FUNCTIONS

1. Technology and Tool Management
   1. Evaluate and recommend technologies to enhance the business processes and overall business capabilities.
   2. Plan and execute technology initiatives, ensuring alignment with business goals and efficient project delivery.

QUALIFICATIONS:

• 8+ years of experience in business process management, business systems analysis, operations, or program delivery.
• Exposure to Salesforce and/or NetSuite environments and integrated business workflows.
• Advanced knowledge of system integration across Salesforce, ERP, internal proprietary systems, and third-party apps.
• Experience working on multi-team, cross-functional initiatives across functions (not just one domain).
• Demonstrated expertise in business requirement analysis, technical analysis, business architecture, process design, quality assurance, data analysis, and solution or product ownership.
• Experience with technology/system development methodologies.

Background Preferred (but not required): 

• Implementation experience of Salesforce
• Implementation experience of NetSuite
• Team management experience

Education:

Bachelor's degree in Business, Information Systems, Computer Science, or related field, or equivalent experience.

Economic Package Includes: 

• Salary + annual bonus eligibility   
• Company equity
• Company Paid Health Care, Dental, and Vision Coverage for you and most of your dependents
• Generous PTO and Sick Leave
• 401(K) with generous company match
• Disability, Life Insurance and Ancillary Benefits
• And much more

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto and remote locations.

What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and support exactly-once processing as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success.

What you'll do

You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure—driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production—state management, exactly-once processing, performance isolation, and automated recovery—so teams across Stripe can confidently build stateful stream processing applications on top of it.

Responsibilities

• Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services
• Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end
• Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale
• Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations
• Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning)
• Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability
• Work closely with the open source community to identify opportunities for adopting new open source features as well as contribute back to OSS

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• This is a Staff-level role - that typically means 10+ years of experience building, operating, and evolving large-scale production systems
• Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments
• Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot
• Experience developing, maintaining and debugging distributed systems built with open source tools
• Experience building and scaling infrastructure as a product
• Strong software engineering skills and a passion for Big Data Distributed Systems
• Ability to write high quality code (in programming languages like Go, Java, Scala, etc)
• Comfortable operating with high autonomy and ownership
• Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed
• Strong written and verbal communication skills, including the ability to produce clear technical documentation

Preferred qualifications

• Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale
• Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production
• Experience building or operating control planes for managing large-scale infrastructure
• Open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc)

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are looking for a Senior Staff Product Designer to join as the design lead for our Customer Experience team, reporting directly to the Head of Design. This is a player/coach role. You will carry significant IC responsibility while directly managing one Product Designer who is focused on load planning and exception management.

Your mandate is the end-to-end customer journey that makes autonomous freight a reality. You will design the suite of tools used by trucking and logistics companies to activate and manage daily operations for a fleet of self-driving trucks. While autonomous technology is genuinely new territory for our customers, your job is to design experiences that feel familiar, intuitive, and integrated into their existing ecosystems. This isn’t a SaaS dashboard exercise. These are high-stakes operational tools that a vehicle operator or load planner needs to adopt to safely run an autonomous truck.

In this role, you will

• Own the customer experience blueprint. Define how interactions with the Aurora Driver are consistent, simple, and unified with the broader operational ecosystem
• Design customer-facing digital tools across web, mobile, and partner integrations
• Do just enough research to generate actionable insight, then use it to drive product decisions, not decorate them
• Tie your work directly to outcomes. For example, ensure support feels like a natural part of the product by designing self-serve recovery paths that allow users to resolve issues in under 5 minutes
• Manage and develop one Product Designer, and contribute to raising the bar for the broader design practice

Required Qualifications

• 8+ years of experience in product design, with a track record of leading complex, multi-workstream projects
• Experience formally managing other designers
• A portfolio showing end-to-end work across research and design for complex enterprise, operational, or mission-critical systems, with clear evidence of business impact
• Expertise in interaction design, information architecture, and UX research with a high bar for visual design quality
• Exceptional written and verbal communication skills, with the ability to translate research insights and design rationale into clear, compelling narratives for executive, cross-functional, and technical audiences

Desirable Qualifications 

• Experience with autonomous technology, hardware-software integrated products, or physical supply chain logistics
• Demonstrated ability to use AI across the design lifecycle without losing judgment

The base salary range for this position is $189K-$274K per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-SP1

• Help design, train, with a focus towards deploying onboard machine learning models that improve the performance/latency of the Kodiak autonomy stack which includes quantization, pruning, converting to ONNX/TensorRT, custom GPU kernels and profiling.
• Help identify and achieve parity between onboard and deployed offboard models using validation on HIL 
• Collaborate with cross-functional teams including perception, planning, simulation, and autonomy infrastructure to integrate ML models into production systems.
• Analyze real-world driving logs to identify edge cases and improve model robustness and safety.
• Use profiling tooling to additionally help improve the train time for models by identifying and removing bottlenecks.
• Contribute to the development of scalable AI infrastructure that supports continuous learning and deployment across Kodiak’s fleet.

• MS or PhD in Computer Science, Robotics, Machine Learning, or a related technical field, or equivalent practical experience.
• 6+ years experience deploying machine learning or deep learning systems in production environments.
• Proficiency in Python, C++ and modern ML frameworks such as PyTorch or TensorFlow.
• Experience working with large-scale distributed training systems.
• Solid understanding of optimization, and machine learning fundamentals.
• Strong software engineering fundamentals including testing, debugging, and system design.
• Ability to work collaboratively across teams to solve complex autonomy and robotics challenges.

What we offer:

• Competitive compensation package including equity and annual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits)
• MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
• Flexible PTO, 10 paid holidays, and generous parental leave policies
• Our office is centrally located in Mountain View, CA
• Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
• Long Term Disability, Short Term Disability, Life Insurance
• Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) 
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)

Location: This position can work onsite or hybrid from San Francisco Bay Area. 
Travel: Up to 15%, domestic or international.
Job ID: 1558

The Role: 

We are looking for a Senior Staff Software Architect to lead the design and evolution of our next-generation Network Monitoring Platform. You’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems.

In this role, you will own the end-to-end architecture of a high-scale, data-intensive network monitoring platform — from data modeling and ingestion pipelines to cloud-native deployment. You are a hands-on technical leader who writes production code, drives critical architectural decisions, and has deep experience building systems that monitor large fleets of devices at scale. The ideal candidate brings strong Go and/or Rust expertise and thrives at the intersection of systems engineering and distributed data platforms.

Responsibilities:

• Architect cloud-native ingestion and processing pipelines capable of handling telemetry from hundreds of thousands of devices, leveraging streaming platforms and time-series storage at scale.
• Define and own the platform’s unified YANG-based data model, spanning device configuration state, operational telemetry, and topology relationships across heterogeneous network environments, serving as the authoritative schema from which ingestion pipelines, storage structures, and API contracts are derived.
• Write and review production-quality code in Go and/or Rust for performance-critical platform components including collectors, aggregators, and real-time processing engines.
• Define and enforce data partitioning, sharding, and retention strategies to sustain high-volume device event streams while meeting latency and durability requirements.
• Lead the design of cloud-native deployment patterns (Kubernetes, service mesh, autoscaling) to ensure the platform operates reliably at global scale across multi-cloud environments.
• Evaluate and drive adoption of purpose-fit technologies — time-series databases, graph stores, stream processors — with a focus on operational scalability and long-term maintainability.
• Partner with Product and Engineering to translate monitoring requirements into platform capabilities, ensuring architectural decisions are reflected in roadmap milestones and engineering specifications.
• Mentor senior engineers through architecture reviews, coding standards, and hands-on technical guidance, raising the bar for platform quality and engineering practices.

Requirements:

• 12+ years of experience in software or platform architecture, with at least 5 years leading architecture for large-scale, data-intensive distributed systems.
• Substantial experience building and operating device monitoring systems at scale — with direct exposure to telemetry ingestion pipelines, fleet management, and real-time alerting across large device populations.
• Proven hands-on coding ability; production experience with Go and/or Rust is strongly preferred for this role.
• Deep expertise in data modeling for high-volume systems, including schema design, time-series storage (InfluxDB/Timescale), event streaming (Kafka/Kinesis), and graph data models for network topology.
• Solid understanding of cloud-native application design — including containerization, Kubernetes orchestration, microservices, and cloud infrastructure across AWS, GCP, or Azure.

Preferred Qualifications:

• Proficiency in both Go and Rust, with a track record of shipping production services in at least one of these languages.
• Background in network management platforms or network equipment vendors (e.g., Juniper, Cisco, Nokia), with familiarity with telemetry protocols such as gNMI, NETCONF, or SNMP.
• Experience designing multi-tenant SaaS platforms where data isolation, schema evolution, and scalability across customer tiers are first-class concerns.
• Contributions to open-source infrastructure or observability projects, or published technical writing on distributed systems and data engineering topics.
• Familiarity with techniques relevant to high-throughput data collection.

The approximate base salary range for this position is $216,136 - $282,978. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes:

• Create multi-layered guardrails around agents
• Optimize data retrieval for agents
• Orchestrate fleets of asynchronous agents
• Automatically alerts users to deviations in data
• Illustrating how an agent reached a decision

As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature and capabilities until they are accepted by the stakeholders.

You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency.

• Define technical strategy for agentic guardrails, explainability, and fleet orchestration.
• Ensure system reliability and performance across multiple security classifications and network types.
• Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance.
• Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members.
• Influence the long-term product strategy and technical roadmap for the Federal business unit.
• Consult on the architecture of AI-powered solutions for large-scale federal contracts.

Ideally you will have: 

• Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering

About the Role

Anthropic manages one of the largest and fastest-growing accelerator fleets in the industry — spanning multiple accelerator families and clouds. The Accelerator Capacity Engineering (ACE) team is responsible for making sure every chip in that fleet is accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.

As an engineer on ACE, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.

You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.

What This Team Owns

The team’s work spans three functional areas. Depending on your background and interests, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:

• Data infrastructure — collecting, normalizing, and serving the fleet-wide data that powers everything else. This means building pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalizing billing and usage data across cloud providers, and maintaining the BigQuery layer that the rest of the org queries against. Correctness, completeness, and latency matter here.

• Fleet observability — making the state of the accelerator fleet legible and actionable in real time. This means building cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and driving systemic improvements to scheduling and fragmentation. The work sits at the intersection of Kubernetes operations and cross-team coordination.

• Compute efficiency — measuring and improving how effectively every major workload uses the hardware it’s running on. This means instrumenting utilization metrics across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and collaborating directly with system-owning teams to close efficiency gaps.

• Internal compute tooling — building the platforms and interfaces that make capacity data usable across the org. This includes capacity planning tools, workload attribution systems, cost dashboards, and self-service APIs. The consumers are research engineers, infrastructure teams, finance, and leadership — each with different needs and different levels of technical depth. The work involves product thinking as much as engineering: figuring out what people actually need, defining schema contracts, and making the data discoverable.

You will be placed on a pod based on your background and interests. We are especially focused on hiring for Data Platform, but strong candidates for any of the three active pods will move forward.

What You’ll Do

• Build and operate data pipelines that ingest accelerator occupancy, utilization, and cost data from multiple cloud providers into BigQuery. Own data completeness, latency SLOs, gap detection, and backfill automation.

• Develop and maintain observability infrastructure — Prometheus recording rules, Grafana dashboards, and alerting systems — that surface actionable signals about fleet health, occupancy, and efficiency.

• Instrument and analyze compute efficiency metrics across training, inference, and eval workloads. Build benchmarking infrastructure, establish per-config baselines, and work with system-owning teams to improve utilization.

• Build internal tooling and platforms that enable capacity planning, workload attribution, and cluster debugging. The consumers are other engineering teams, finance, and leadership — not external users.

• Operate Kubernetes-native systems at scale — deploying data collection agents, managing workload labeling infrastructure, and understanding how taints, reservations, and scheduling affect capacity.

• Normalize and reconcile data across heterogeneous sources — including AWS, GCP, and Azure billing exports, vendor-specific telemetry formats, and internal systems with different schemas and billing arrangements.

• Collaborate across organizational boundaries with research engineering, infrastructure, inference, and finance teams. Gather requirements from technical stakeholders, translate them into useful systems, and communicate trade-offs to non-technical audiences.

You May Be a Good Fit If You Have

• 5+ years of software engineering experience with a strong track record building and operating production systems. You write code every day — this is a hands-on engineering role, not a planning or coordination role.

• Kubernetes fluency at operational depth — you’ve operated production K8s at meaningful scale, not just written manifests. Comfort with scheduling, taints, labels, node management, and debugging cluster-level issues.

• Data pipeline engineering experience — designing, building, and owning the full lifecycle of production data pipelines. Experience with data warehouses (BigQuery preferred), schema management, streaming ingestion, SLOs for latency and completeness, and a strong instinct for correctness.

• Observability tooling experience — Prometheus, PromQL, and Grafana are in the critical path for this team. Experience writing recording rules, understanding metric semantics, and building monitoring systems that engineering teams actually rely on.

• Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.

• Familiarity with at least one major cloud provider (AWS, GCP, or Azure) at the infrastructure level — compute, billing, usage APIs, cost management tooling. Multi-cloud experience is a strong plus.

• High autonomy and strong cross-team communication. You can gather your own requirements, navigate ambiguity, and work across organizational boundaries. Scrappiness and ownership matter more than polish.

Strong Candidates May Also Have

• Multi-cloud data ingestion experience — especially working with AWS and GCP APIs, billing exports, or vendor-specific telemetry formats. Experience normalizing data from external providers with different billing arrangements is directly applicable.

• Accelerator infrastructure familiarity — GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience working with ML training/inference systems at the hardware level.

• Performance engineering and benchmarking experience — building benchmark harnesses, establishing baselines, reasoning about compute efficiency (FLOPs utilization, memory bandwidth, interconnect throughput), and working with system teams to diagnose and improve performance.

• Data-as-product thinking — experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just building pipelines, but thinking about how platform data gets consumed.

• Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or large-scale ML environment. FinOps, chargeback systems, or infrastructure cost modeling.

Familiarity with ClickHouse, Terraform, or Rust. ClickHouse is the team’s current streaming store; Terraform for infrastructure-as-code; Rust for high-performance data collection agents.

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.

Responsibilities

• Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
• Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
• Participate in a 24/7 on-call rotation to resolve critical issues
• Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice

You may be a good fit if you

• Have 6+ years of experience in software development and operating distributed systems
• Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
• Have deep experience using and extending containerization technologies, preferably Kubernetes
• Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
• Possess a customer focused mindset, treating internal developers as your primary users
• Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
• Prefer automation over manual processes ("allergic to ops work")
• We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil

Strong candidates may also have experience with

• Designing and implementing secure, multi-tenant runtime environments from first principles
• Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
• Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
• Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
• Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426182

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, or remotely in the United States region.

Responsibilities

• Manage a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
• Help develop a clear technical vision and comprehensive roadmap for our runtime environment, balancing long-term strategic infrastructure goals with immediate engineering needs
• Contribute through light hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
• Act as the primary liaison for the Fleet Management team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations

You may be a good fit if you:

• Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
• Possess a customer-focused mindset, treating internal developers as your primary users
• Value efficiency in processes and operations, and have a track record of optimizing team workflows
• Prefer automation over manual processes ("allergic to ops work"), fostering a culture of building software solutions to eliminate toil
• Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
• Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
• Have a high level of empathy, responsibility, ownership, and accountability
• Excellent verbal and written technical communication skills

Strong candidates may also have experience with:

• Leading major architectural shifts, such as migrating teams from traditional IaC to Operator-driven lifecycle management
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426152

What we offer:

• Competitive compensation package including equity and annual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits)
• MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
• Flexible PTO, 10 paid holidays, and generous parental leave policies
• Our office is centrally located in Mountain View, CA
• Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
• Long Term Disability, Short Term Disability, Life Insurance
• Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) 
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)

About You and The Role  

Zipline is looking for a Senior Flight Test Engineer to lead comprehensive flight test campaigns and integrate automated testing infrastructure into our flight test program. Your work will help enable Zipline to continuously test, learn, and deploy improvements to our global delivery service.

In this role, you will develop a deep understanding of Zipline’s end-to-end logistics system and work closely with cross-functional partners to generate rapid insights into changes across hardware, software, and operations. Your work will serve as the final line of defense before software and hardware are deployed globally to perform critical real-world deliveries.

You’ll own system-level flight test campaigns from planning through execution and analysis. This role is ideal for someone who enjoys translating complex engineering questions into effective test programs and using data and automation to accelerate learning.

Do you enjoy designing system-level test campaigns and owning the outcome end-to-end? Are you collaborative and motivated to integrate the needs of multiple engineering teams into a unified test strategy? Are you passionate about bringing automation, tooling, and data analytics into flight testing to increase speed and insight? If so, we’d love to hear from you.

What You'll Do  

• Develop and execute flight test campaigns to validate aircraft performance, delivery operations, docking systems, and fleet orchestration.
  
  
• Ensure flight testing is used for the highest-value learning opportunities, and recommend alternative test approaches when more efficient methods exist.
  
  
• Collaborate with electrical, mechanical, and software teams to define system-level flight test objectives and success criteria.
  
  
• Assess hardware and software readiness for testing and make sound judgments on risk posture and flight readiness.
  
  
• Identify and remove technical and programmatic roadblocks that slow down flight testing.
  
  
• Own or coordinate key aspects of flight operations, including preflight preparation, flight execution, and incident reporting.
  
  
• Analyze flight test data to identify anomalies, trends, and opportunities for rapid iteration.
  
  
• Track test progress and introduce new tools, processes, and workflows that enable safe and efficient testing.
  
  
• Develop and integrate software tooling and automated test infrastructure to improve test precision, insight, capacity, and velocity.
  
  
  

What You'll Bring 

• 3+ years designing, developing or validating autonomous, robotic, systems (UAS experience preferred).
  
  
• Experience maintaining and enforcing safety in a fast-paced and rapidly evolving environment.
  
  
• Strong experience analyzing and interpreting test data.
  
  
• Experience bringing up and debugging hardware and software systems for automated platforms.
  
  
• A systems-level mindset, with the ability to balance risks and priorities across structures, aerodynamics, embedded systems, and software teams.
  
  
• Strong judgment on when to move quickly with pragmatic solutions and when to invest in long-term infrastructure or tooling.
  
  
• Willingness to travel domestically and internationally for flight testing (approximately 2–6 weeks per year).
  
  
• Comfort working outdoors and supporting flight test activities in varying weather conditions.
  
  

What Else You Need to Know  

The starting cash range for this role is $130,000 - $200,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft is seeking a talented Manager of AV Strategy & Business Operations to join the Lyft Autonomous team. This role sits at the intersection of corporate strategy, financial modeling, and business operations as we scale autonomous vehicle partnerships across the United States and Europe.

The successful candidate will excel at strategic analysis, building financial models, and delivering data-driven insights to inform long-term plans and decision making. This person will work closely with cross-functional teams spanning FP&A, Fleet Operations, Legal, and Marketplace - and will need to operate comfortably across international markets and external partner organizations.

This individual will report directly to the Director of AV Strategy, Lyft Autonomous.

Responsibilities: 

• Strategic Planning & Market Analysis
  • Support ongoing strategic planning and go-to-market efforts across US and global markets.
  • Monitor industry trends, competitive dynamics, and partnership developments to inform Lyft strategic positioning.
  • Synthesize regulatory and political developments to assess impacts to launch plans, partner discussions, and market prioritization.
  • Conduct structured analysis and make data-driven recommendations for strategic choices such as potential investments, partnerships, and other opportunities.
  • Develop board-level materials, strategy presentations, and internal briefings that translate complex workstreams into clear narratives and recommendations.
• Strategic Finance & Financial Modeling
  • Design and build complex financial models to evaluate AV partnership economics, fleet deployment scenarios, and investment opportunities.
  • Support AV planning and decision making by creating short-term and long-term financial projections, scenario analyses, and sensitivity models.
  • Build and maintain commercial P&Ls for individual partnerships and markets, and support investment evaluation and execution, including financial due diligence.
  • Prepare financial analyses for leadership decisions, including total cost of ownership, fleet operations, and infrastructure planning.
  • Prepare deal overviews, investment memos, and board-level reviews for potential AV partnerships and strategic investments.
• GTM Planning & Business Operations
  • Collaborate with European teams and US operations to coordinate launch planning across multiple concurrent markets and AV partners.
  • Develop blueprints for AV deployments, including regulatory engagement, fleet logistics, real estate and infrastructure, and operational readiness.
  • Partner with FP&A, Product, Fleet Operations, Strategy, and Legal teams to support key AV initiatives and autonomous deployments.
  • Support partner management by tracking milestones, identifying blockers, and ensuring alignment between commercial agreements and operational execution.
  • Work closely with fleet operations teams to streamline workflows, improve fleet utilization, and enhance reporting capabilities.

Experience: 

Required

• Bachelor’s degree in Finance, Business, Economics, or related field; MBA or relevant advanced degree is a plus.
• 5+ years of experience in business operations, strategy, finance, or a similar analytical role, ideally within a high-growth tech environment or management consulting.
• Proficiency in financial modeling, forecasting, and data analysis with strong command of Excel, SQL, and data visualization tools.
• Excellent communication skills with proven ability to translate complex financial and strategic concepts for both technical and non-technical audiences.
• Demonstrated experience working with senior leaders and external partners to drive business outcomes.
• Strong analytical mindset with focus on detail, accuracy, and strategic thinking.

Preferred

• 3+ years prior experience with Autonomous Vehicles or adjacent mobility sectors.
• Experience with corporate development, M&A, or investment analysis.
• Experience conducting competitive landscape analysis and capability benchmarking.
• Familiarity with fleet management, asset utilization models, or mobility operations.
• Knowledge of European mobility markets and regulatory environments.
• Experience operating in matrixed or multi-entity organizational structures, particularly across US and international teams.
• Experience preparing board-level materials and executive communications.

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the New York City area is $132,000 - $165,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft is seeking a talented Manager of AV Strategy & Business Operations to join the Lyft Autonomous team. This role sits at the intersection of corporate strategy, financial modeling, and business operations as we scale autonomous vehicle partnerships across the United States and Europe.

The successful candidate will excel at strategic analysis, building financial models, and delivering data-driven insights to inform long-term plans and decision making. This person will work closely with cross-functional teams spanning FP&A, Fleet Operations, Legal, and Marketplace - and will need to operate comfortably across international markets and external partner organizations.

This individual will report directly to the Director of AV Strategy, Lyft Autonomous.

Responsibilities: 

• Strategic Planning & Market Analysis
  • Support ongoing strategic planning and go-to-market efforts across US and global markets.
  • Monitor industry trends, competitive dynamics, and partnership developments to inform Lyft strategic positioning.
  • Synthesize regulatory and political developments to assess impacts to launch plans, partner discussions, and market prioritization.
  • Conduct structured analysis and make data-driven recommendations for strategic choices such as potential investments, partnerships, and other opportunities.
  • Develop board-level materials, strategy presentations, and internal briefings that translate complex workstreams into clear narratives and recommendations.
• Strategic Finance & Financial Modeling
  • Design and build complex financial models to evaluate AV partnership economics, fleet deployment scenarios, and investment opportunities.
  • Support AV planning and decision making by creating short-term and long-term financial projections, scenario analyses, and sensitivity models.
  • Build and maintain commercial P&Ls for individual partnerships and markets, and support investment evaluation and execution, including financial due diligence.
  • Prepare financial analyses for leadership decisions, including total cost of ownership, fleet operations, and infrastructure planning.
  • Prepare deal overviews, investment memos, and board-level reviews for potential AV partnerships and strategic investments.
• GTM Planning & Business Operations
  • Collaborate with European teams and US operations to coordinate launch planning across multiple concurrent markets and AV partners.
  • Develop blueprints for AV deployments, including regulatory engagement, fleet logistics, real estate and infrastructure, and operational readiness.
  • Partner with FP&A, Product, Fleet Operations, Strategy, and Legal teams to support key AV initiatives and autonomous deployments.
  • Support partner management by tracking milestones, identifying blockers, and ensuring alignment between commercial agreements and operational execution.
  • Work closely with fleet operations teams to streamline workflows, improve fleet utilization, and enhance reporting capabilities.

Experience: 

Required

• Bachelor’s degree in Finance, Business, Economics, or related field; MBA or relevant advanced degree is a plus.
• 5+ years of experience in business operations, strategy, finance, or a similar analytical role, ideally within a high-growth tech environment or management consulting.
• Proficiency in financial modeling, forecasting, and data analysis with strong command of Excel, SQL, and data visualization tools.
• Excellent communication skills with proven ability to translate complex financial and strategic concepts for both technical and non-technical audiences.
• Demonstrated experience working with senior leaders and external partners to drive business outcomes.
• Strong analytical mindset with focus on detail, accuracy, and strategic thinking.

Preferred

• 3+ years prior experience with Autonomous Vehicles or adjacent mobility sectors.
• Experience with corporate development, M&A, or investment analysis.
• Experience conducting competitive landscape analysis and capability benchmarking.
• Familiarity with fleet management, asset utilization models, or mobility operations.
• Knowledge of European mobility markets and regulatory environments.
• Experience operating in matrixed or multi-entity organizational structures, particularly across US and international teams.
• Experience preparing board-level materials and executive communications.

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $132,000 - $165,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

About Fellow

At Fellow, we’re on a mission to help people brew ridiculously good coffee at home. But we’re more than just beautifully designed kettles and grinders—we’re a brand built on innovation, community, and culture. We believe great coffee isn’t just about the final cup; it’s about the experience, the ritual, and the people who make it all happen.

We’re looking for a VP of Software to own the entire software ecosystem—spanning Embedded Firmware, Control Systems, Mobile Apps, and Cloud Backend.

Your mission is to build the "machine that builds the machine." We are looking for a systems thinker obsessed with operational leverage–someone who ensures that as our product line expands from kettles and grinders to complex brewing ecosystems, our engineering velocity accelerates, and system reliability improves at scale.

This role is based in our San Francisco, CA office and requires regular in-office presence in accordance with company policy. 

Who You Are

You’re an experienced engineering leader who has built and led multidisciplinary teams across software, hardware, product, and design. You know how to align functions around a shared roadmap, make clear tradeoffs, and create accountability without friction. As products grow more complex, you understand how to structure teams, processes, and architecture to scale. You foster a culture of ownership, close collaboration, and open communication.

You care deeply about how software is built. You’ve implemented automated CI/CD pipelines and strong testing practices that support complex products, reducing manual work and improving reliability. You use metrics to understand delivery performance and team health, pairing data with sound judgment. You’re pragmatic, curious, and motivated to build products that are both technically rigorous and thoughtfully designed. You’re motivated by raising the bar, not maintaining the status quo.

What You’ll Do

• Scale the Engineering Organization: Design the team structure, process, and operating systems that allow us to ship high-quality firmware, mobile, and cloud services with extreme efficiency.
• Set the Technical Direction: Lead the technical roadmap for our embedded systems, control logic, mobile interfaces, and cloud services. You’ll ensure the "brain" of our hardware is as elegant as its exterior.
• Raise the Bar on Engineering Quality: Establish best practices for CI/CD, automated testing, code review, and release management—especially for complex hardware-software integrations where reliability is critical.
• Consolidate & Modularize: Drive the evolution of our codebase architecture. You will lead the effort to consolidate repositories into a modular, reusable architecture that speeds up development for future product launches.
• Lead Cross-Functional Execution: You will bridge the gap between technical constraints and user delight, ensuring our digital experiences are as intuitive as a manual pour-over.
• Increase Development Velocity: Identify and remove bottlenecks in the development lifecycle. Invest in tooling, automation, and modern workflows (including AI-assisted development where appropriate) to optimize the engineering “inner loop”—improving cycle time and release confidence.
• Own Delivery & Reliability: Be accountable for predictable execution, system performance, and post-launch stability across our connected products.
• Hire and Develop Exceptional Talent: Recruit, mentor, and retain a high-performing engineering team. Create a culture of ownership, transparency, and continuous improvement.
• Strategic Leadership: Work closely with the CEO and hardware teams on major architectural and "build vs. buy" decisions, helping define the long-term future of connected specialty coffee.

Qualifications

• 12+ years of experience in software engineering, with deep hands-on experience in both "hard" embedded systems engineering (C/C++, RTOS, Control systems) and "soft" engineering (Cloud-native, Mobile, UX).
• Proven track record of scaling an engineering organization from early stage to high-growth, including building and leading teams across multiple disciplines.
• Demonstrated success delivering connected products where hardware and software are tightly integrated, with ownership across architecture, reliability, and lifecycle management.
• Deep expertise in IoT ecosystems, including OTA (Over-the-Air) updates, fleet management, and sensor fusion.
• Experience establishing modern development practices, including CI/CD, automated testing, release management, and metrics-driven delivery.
• A portfolio of shipped products where software and hardware interact seamlessly.
• Strong technical judgment across modern applications and embedded stacks (i.e.React, Node.js, AWS, C/C++), with the ability to evaluate tradeoffs and evolve architectural decisions as the company scales.
• Strong executive communication skills, with experience partnering closely with CEO-level leadership and presenting technical strategy to senior stakeholders or boards.

Why You’ll Love This Role

• A creative, fast-moving environment where ideas turn into action.
• Competitive compensation including employee equity plan
• Generous paid time off plan
• 401k with company contribution after 6 months of employment
• Medical/dental/vision insurance
• Better Yourself Wellness credit & Better Your Community donation matching
• Monthly Fitness Stipend
• Summer Fridays
• Paid Parental Leave
• Generous discount on Fellow products
• Best coffee anywhere

Salary Range: $240k - $280k plus bonus & generous equity package

Our highest goal at Fellow is creating a safe, inclusive, and rewarding environment where everyone can bring their whole selves to work and thrive. We are committed to building diverse teams and strongly encourage people from underrepresented groups, including but not limited to women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. 

Fellow is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity, gender expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws.

P-2679_3410281

About the team/role

We’re hiring an ML Engineer (P2) to build and ship the AI systems that power Checkr’s core products. This role sits on the ML team inside Checkr’s Data & ML organization within Engineering.

Checkr runs millions of background checks a year. The ML team builds the systems that make those checks faster, more accurate, and cheaper to operate: document processing, charge classification, entity resolution, and in-product intelligence. These are production services that Product Engineering depends on daily.

This is not a research role or a notebook role. You’ll own ML services end-to-end: design them, code them, deploy them, monitor them. We need someone who writes production software, builds with LLMs and APIs as first-class tools, and can tell the difference between working code and AI slop. If you’ve spent the last few years building AI-native software and you care deeply about engineering craft, we want to talk.

This role sits in the central Data & ML team within the Engineering organization. You will partner daily with Product Engineering, Product, and cross-functional teams. You’ll also contribute to Checkr’s broader AI strategy, including our initiative to deploy our agentic fleet and build scalable context with our semantic layer.

We are looking for someone based in San Francisco who has built ML systems in fast-moving, impact-first environments. Less process, more shipping. Less paperwork, more results.

What you’ll do

• Build and deploy ML/AI services. Design, develop, and ship ML models and AI systems that Product Engineering teams rely on. You write the model code, the API layer, the monitoring, and the tests. Not notebooks; production services.
• Design with LLMs and APIs. Use LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems. You know when to call an LLM, when to fine-tune, when to use a classical model, and when to write a rule. You think about cost, latency, and quality together.
• Ship production software. Write clean, well-structured code with solid OOP, proper abstractions, error handling, and tests. Your code gets reviewed by SWEs and passes. CI/CD is how you work, not something you bolt on at the end.
• Partner with product and engineering. Translate business problems into ML solutions. Define API contracts with product engineers. Explain your approach clearly to non-ML partners and leave the room with alignment, not confusion.
• Evaluate and iterate fast. Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance. Ship and iterate; don’t wait for perfect.
• Ship AI-powered workflows. Put AI to work on your own processes: automate pipelines, build agentic workflows, and contribute reusable skills and context to Checkr’s agentic platform. The expectation is that our teams operate AI-first.

What you bring

• A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience
• 4+ years building software professionally, with at least 2 of those building ML systems that run in production
• Strong Python fluency; you write clean, testable, well-structured code with solid OOP instincts. Not scripts; software
• Hands-on experience using LLM APIs in production systems: prompt engineering, structured outputs, function calling, cost management, and evaluation
• You’ve built and maintained APIs, worked with CI/CD pipelines, and shipped code that other engineers depend on
• Comfortable with distributed systems concepts: queues, async processing, caching, horizontal scaling
• Experience with NLP tasks in production: classification, extraction, entity resolution, summarization
• Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal
• You can evaluate tradeoffs: fine-tune vs. prompt, hosted vs. self-deployed, classical ML vs. LLM, rule vs. model
• Strong communication skills; you explain technical decisions clearly to engineers and non-engineers alike, without hiding behind jargon
• You use AI tools (Copilot, Claude, etc.) to move faster, but you understand every line they produce. You can spot AI slop and you don’t ship it
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

Nice to have

• Experience with MLOps platforms (MLflow, SageMaker, Vertex, or similar)
• Background in document processing, OCR, or information extraction
• Experience with PySpark or large-scale data processing
• Ruby experience (Checkr’s platform runs on Rails)
• Familiarity with compliance-sensitive domains (fintech, legal tech, HR tech)
• Working knowledge of dbt, Snowflake, or modern ELT/data transformation tools

What you’ll get

• A fast-paced, low-bureaucracy environment where shipping matters more than process
• Direct exposure to executive and C-level decision-making
• A seat on the Data & ML team shaping Checkr’s AI strategy
• Learning and development allowance
• Competitive cash and equity compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

About the role

Anthropic runs some of the largest Kubernetes clusters in the industry. We have fleets of hundreds of thousands of nodes across multiple cloud providers and datacenters to train, research, and serve frontier AI models. The Kubernetes Platform team owns the Kubernetes control plane that makes those clusters work.

We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure.

We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow.

Key responsibilities

• Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption
• Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us
• Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on
• Build and maintain custom controllers, operators, and CRDs
• Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities
• Collaborate with cloud providers on required features and escalations
• Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures

Minimum qualifications

• Significant software engineering experience building and operating production distributed systems
• Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++)
• Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters
• Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes
• A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on
• Strong written and verbal communication; comfort building consensus with internal stakeholders

Preferred qualifications

• Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar
• Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents)
• Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments)
• Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL
• Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code
• Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF
• 8+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects

NÜ Metal is CoreWeave’s Hardware New Product Introduction (NPI) team, a multidisciplinary group of mechanical, thermal, electrical, and power engineers that takes new GPU and server platforms from early concept through validation, integration, and large-scale production across our data centers. The team bridges hardware design, manufacturing partners, and data center operations to de-risk new platforms early and ensure each new generation of high-density, often liquid-cooled hardware lands in the fleet reliably, efficiently, and at scale. 

What You’ll Do

• Own the architecture, design, and evolution of thermals for high-density, GPU-accelerated data centers.
• Design, validate, and optimize rack-level and server-level thermal solutions.
• Partner closely with data center teams to define end-to-end thermal architecture—from building infrastructure through the rack.
• Collaborate with world-class engineers developing next-generation AI/ML hardware platforms.
• Advise on data center secondary loop layout, commissioning, and operation
• Review and evaluate JDM/ODM thermal designs, including thermal simulations; independently run simulations as needed.
• Debug complex thermal and system-level issues, incorporating learnings into future designs.
• Collaborate with vendors and internal teams to manage heterogeneous deployments, ensuring a cohesive thermal strategy across varying CDUs, server platforms, and facilities. 
• Drive thermal designs from early concept through mass production.
• Ensure designs meet high standards for efficiency, safety, reliability, and scalability.
• Partner with manufacturing teams to support production readiness and ramp.
• Actively contribute to architectural discussions, providing strong hardware design guidance and tradeoff analysis.
• Mentor and support the growth of junior engineers.
  
  

Who You Are

Minimum Qualifications:

• 10+ years of thermal management experience 
• Bachelor’s Degree in Mechanical Engineering, Aerospace Engineering, or a related technical field
• Experience in heatsinks, thermal interface materials, liquid cooling, heat exchangers and fans

Preferred Qualifications:

• 10+ years of experience designing complex thermal systems for hyperscale data centers
• Experience in liquid cooled data center architectures, including cold plates, wetted material compatibility, and CDUs
• Strong thermal design expertise
• Experience leading cross-functional design efforts in fast-paced environments
• Strong documentation and design review practices
• Excellent negotiation and stakeholder-management skills
• Understanding of rack-level thermal requirements and their impact on upstream infrastructure, including CDUs, facility piping, and chillers

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You'll Do:

The Security Foundations organization at CoreWeave keeps CoreWeave Cloud secure by design, from data centers and GPU fleets to the platform layers powering our customers' AI workloads. The PKI & Secrets team owns the cryptographic infrastructure underpinning the confidentiality, integrity, and authenticity of CoreWeave's data and systems: PKI, secrets management, HSMs, key management, and code signing.

We partner with teams across the company to deliver cryptographic services that are secure, reliable, and easy to use at scale.

About the Role:

As a Staff Security Engineer on the PKI & Secrets team, you will shape how CoreWeave manages cryptographic infrastructure across its global fleet. You'll design and operate PKI hierarchies, secrets management platforms, HSM infrastructure, and key management systems; working hands-on with engineering teams to integrate these capabilities into their services and workflows.

In this role, you will:

• Contribute to the design, implementation, and operation of CoreWeave's PKI infrastructure, including CA hierarchies, issuance policies, certificate lifecycle management, and trust distribution across Kubernetes clusters and bare-metal hosts.
• Manage and evolve secrets management platforms, including access policies, secret lifecycle governance, and integration patterns using External Secrets Operator and cert-manager.
• Operate and scale HSM infrastructure, including PKCS#11 integration, key ceremony procedures, and high-availability designs backing our certificate authorities and signing services.
• Contribute to the design of key management and data encryption solutions for internal and customer-facing use cases, including envelope encryption and KMS API design.
• Deliver PKI-based solutions supporting workload identity, mutual TLS, and hardware attestation.
• Maintain and extend code signing infrastructure for firmware images, UEFI binaries, container images, and application binaries.
• Develop and enforce cryptographic best practices and policies, and contribute to post-quantum cryptography readiness.

Who You Are:

• (8)+ years of experience in security engineering or infrastructure engineering.
• Strong understanding of PKI concepts including CA hierarchies, certificate profiles, issuance policies, revocation, and trust distribution.
• Hands-on experience operating HashiCorp Vault or similar secrets management platforms in production.
• Experience with hardware security modules (HSMs), PKCS#11 interfaces, and key ceremony procedures.
• Solid understanding of applied cryptography: symmetric and asymmetric algorithms, digital signatures, envelope encryption, and TLS.
• Proficiency in Go, Python, or similar languages, with the ability to build production tooling and automation.
• Experience with Kubernetes, including cert-manager, trust-manager, or External Secrets Operator.
• Demonstrated ability to drive cross-functional initiatives across infrastructure, platform, and product teams.

Preferred:

• Experience operating PKI backed by HSMs in a cloud provider or hyperscaler environment.
• Familiarity with code signing workflows (Authenticode, Cosign/Sigstore, transparency logs, timestamping).
• Experience with KMS design, including customer-managed keys and multi-tenant key isolation.
• Understanding of hardware attestation and workload identity (TPM, SPDM, SPIFFE/SPIRE).
• Exposure to post-quantum cryptography standards and migration planning.

Wondering if you're a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams, even if you aren't a 100% skill or experience match. If some of this describes you, we'd love to talk.

• You think deeply about how trust is established in complex distributed systems — and you enjoy making that infrastructure invisible to the teams that depend on it.
• You're comfortable operating at multiple levels of abstraction, from HSM key ceremonies to Kubernetes operator design and developer experience.
• You're a pragmatic builder who ships durable solutions in fast-moving environments.

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

About This Role

CoreWeave is building one of the world's largest AI-focused cloud infrastructure platforms. We're standing up new data centers at an extraordinary pace, and the complexity of planning, tracking, and orchestrating each build demands purpose-built tooling that doesn't exist today.

We're forming a new team dedicated to building that tooling in-house. The goal: a high-performance internal platform that gives network engineers, fleet engineers, and operations teams the ability to plan, visualize, and manage massive amounts of physical infrastructure across dozens of sites.

As the founding frontend engineer on this team, you'll own the UI layer for these tools. You'll work alongside backend engineers to build applications that handle the full scope of datacenter infrastructure: network switches, GPUs, servers, optical transceivers, PDUs, cooling systems, cable cutsheets, rack elevations, overheads, and more. Performance is non-negotiable. These tools need to render and interact with millions of objects per build without breaking a sweat.

You'll make foundational technology decisions, establish the patterns and architecture that the team builds on, and have a direct hand in how quickly CoreWeave brings data centers online.

What You'll Build

• Extremely high-performance interfaces for visualizing and planning datacenter infrastructure, often rendering massive amounts of structured records (device inventories, cable plans, rack assignments, power allocations) with sub-second interaction and filtering.
• Interactive planning tools for rack elevations, floor layouts, power distribution, and network topology that let engineers design, model, and validate builds before physical work begins.
• Data-dense views and dashboards that serve as the authoritative source for build planning and asset tracking across CoreWeave's global footprint.
• The frontend architecture from the ground up: component library, state management, data fetching patterns, and build tooling designed to scale with the team and product scope.
• Tight integrations with backend APIs (likely gRPC, GraphQL, or REST), collaborating closely with backend engineers to shape API contracts that support the performance and data complexity the UI demands.

What We're Looking For

Core Technical Skills

• Deep proficiency with TypeScript and React. You should be the kind of engineer who understands React's rendering model at a low level and can make deliberate decisions about when and how components re-render.
• Demonstrated experience building interfaces that handle large, complex datasets with extreme performance requirements: virtualized rendering, canvas or WebGL-based visualization, efficient DOM management, or similar techniques.
• Strong understanding of frontend architecture: component design, state management (particularly for complex, interconnected data models), data fetching and caching patterns, and build tooling.
• Experience designing and consuming APIs with attention to type safety, pagination, caching, and error handling.
• Track record of frontend performance optimization: bundle analysis, runtime profiling, and making data-heavy UIs feel fast under real load.

Domain & Problem-Solving

• Genuine curiosity about (or direct experience with) physical datacenter infrastructure. The ideal candidate has a working understanding of servers, GPUs, network switches, optical transceivers, structured cabling, power distribution, and cooling. You don't need to be a network engineer, but you should be someone who finds this domain interesting and wants to understand how these systems relate and fit together.
• Ability to work directly with infrastructure engineers (the end users of what you build) to understand their workflows, identify pain points, and translate complex operational processes into clean, usable interfaces.
• Comfort working on a newly formed team where you'll be making early architectural decisions that compound over time. We need someone who is deliberate about tradeoffs and can move quickly without being reckless or sacrificing performance.

Experience & Leadership

• 7+ years of professional frontend engineering experience, with meaningful senior-level ownership of production systems. For Staff level: demonstrated ability to make foundational architectural decisions and influence technical direction beyond your immediate team.
• Strong communication skills. You'll be working across network engineering, fleet engineering, operations, and design. You need to explain technical decisions clearly and advocate for frontend concerns in cross-functional discussions.
• Strong sense of ownership for the systems you build and the people who depend on them.

Nice to Have

• Direct experience with datacenter operations, infrastructure planning, or familiarity with DCIM tools like NetBox or Sunbird.
• Experience working alongside backend teams writing Go, and comfort collaborating on API design across the stack.
• Exposure to Infrastructure-as-Code, Kubernetes, or cloud platform concepts. You won't be directly deploying infrastructure, but understanding the ecosystem helps you build better tools for the engineers who do.
• Experience with frontend observability, CI/CD pipelines, and modern build systems. We're building this team's practices from scratch, and having strong opinions about how to ship tooling matters.
• Familiarity with authentication, authorization, and frontend security best practices for internal tooling.

Why This Role Is Different

This isn't maintaining a mature product or building another CRUD application. You're building the infrastructure planning and visualization platform for one of the fastest-growing cloud providers in the world. The data is real and physical, the problems are tangible, and the tools you build will directly determine how quickly we can bring new AI capacity online.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You'll Do:

As a Sr. Technical Program Manager on the Capacity Delivery team, you will own the end-to-end delivery of our most critical data center infrastructure. You will be the single-threaded leader responsible for translating long-range capacity forecasts and complex customer requirements into fully commissioned infrastructure. This highly visible role requires deep cross-functional leadership across Engineering, Supply Chain, and Data Center Operations to solve technical challenges at hyperscale. Beyond delivering individual programs, you will be instrumental in designing the scalable, repeatable processes that define how we build our global fleet for the future.

Key Responsibilities:

• Drive the end-to-end execution of hyperscale data center builds and major capacity expansions, from planning to operational delivery.
• Develop and manage comprehensive program plans, defining scope, schedules, milestones, and dependencies for critical infrastructure initiatives.
• Translate capacity planning forecasts and stakeholder needs into actionable, technical program requirements
• Lead cross-functional execution with Data Center Operations, Engineering, and Supply Chain teams to mitigate risks to schedule and budget
• Develop and report on program status, risks, and key performance indicators (KPIs) to executive leadership and key stakeholders
• Proactively identify, track, and resolve complex technical and logistical issues, ensuring clear communication and timely escalation.
• Establish and lead scalable processes, KPIs, and respective SLAs across build teams

Who You Are:

• 10+ years of technical program management experience in a hyperscale cloud, data center, or critical infrastructure environment
• Direct experience managing the lifecycle of large-scale data center builds, retrofits, or major capacity expansions.
• Strong technical understanding of the data center stack, including power, cooling, networking, and GPU/server hardware infrastructure.
• Strong understanding of construction projects and respective milestones
• Expertise in project management methodologies (e.g., Agile, Critical Path) and tools (e.g., Jira, Asana).
• Demonstrated ability to lead and influence matrixed, cross-functional technical teams in a fast-paced, ambiguous environment.
• Exceptional communication skills, with the ability to articulate complex technical challenges and project plans to all levels of the organization.
• Ability to thrive in a fast-paced and dynamic environment, adapting to changing priorities and requirements
• This role requires occasional flexibility to overlap with EMEA working hours as needed

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You'll Do:

The Security Foundations organization at CoreWeave keeps CoreWeave Cloud secure by design, from data centers and GPU fleets to the platform layers powering our customers' AI workloads. The PKI & Secrets team owns the cryptographic infrastructure underpinning the confidentiality, integrity, and authenticity of CoreWeave's data and systems: PKI, secrets management, HSMs, key management, and code signing.

We partner with teams across the company to deliver cryptographic services that are secure, reliable, and easy to use at scale.

About the Role:

As a Senior Security Engineer on the PKI & Secrets team, you will shape how CoreWeave manages cryptographic infrastructure across its global fleet. You'll design and operate PKI hierarchies, secrets management platforms, HSM infrastructure, and key management systems; working hands-on with engineering teams to integrate these capabilities into their services and workflows.

In this role, you will:

• Contribute to the design, implementation, and operation of CoreWeave's PKI infrastructure, including CA hierarchies, issuance policies, certificate lifecycle management, and trust distribution across Kubernetes clusters and bare-metal hosts.
• Manage and evolve secrets management platforms, including access policies, secret lifecycle governance, and integration patterns using External Secrets Operator and cert-manager.
• Operate and scale HSM infrastructure, including PKCS#11 integration, key ceremony procedures, and high-availability designs backing our certificate authorities and signing services.
• Contribute to the design of key management and data encryption solutions for internal and customer-facing use cases, including envelope encryption and KMS API design.
• Deliver PKI-based solutions supporting workload identity, mutual TLS, and hardware attestation.
• Maintain and extend code signing infrastructure for firmware images, UEFI binaries, container images, and application binaries.
• Develop and enforce cryptographic best practices and policies, and contribute to post-quantum cryptography readiness.

Who You Are:

• (5)+ years of experience in security engineering or infrastructure engineering.
• Strong understanding of PKI concepts including CA hierarchies, certificate profiles, issuance policies, revocation, and trust distribution.
• Hands-on experience operating HashiCorp Vault or similar secrets management platforms in production.
• Experience with hardware security modules (HSMs), PKCS#11 interfaces, and key ceremony procedures.
• Solid understanding of applied cryptography: symmetric and asymmetric algorithms, digital signatures, envelope encryption, and TLS.
• Proficiency in Go, Python, or similar languages, with the ability to build production tooling and automation.
• Experience with Kubernetes, including cert-manager, trust-manager, or External Secrets Operator.
• Demonstrated ability to drive cross-functional initiatives across infrastructure, platform, and product teams.

Preferred

• Experience operating PKI backed by HSMs in a cloud provider or hyperscaler environment.
• Familiarity with code signing workflows (Authenticode, Cosign/Sigstore, transparency logs, timestamping).
• Experience with KMS design, including customer-managed keys and multi-tenant key isolation.
• Understanding of hardware attestation and workload identity (TPM, SPDM, SPIFFE/SPIRE).
• Exposure to post-quantum cryptography standards and migration planning.

Wondering if you're a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams, even if you aren't a 100% skill or experience match. If some of this describes you, we'd love to talk.

• You think deeply about how trust is established in complex distributed systems — and you enjoy making that infrastructure invisible to the teams that depend on it.
• You're comfortable operating at multiple levels of abstraction, from HSM key ceremonies to Kubernetes operator design and developer experience.
• You're a pragmatic builder who ships durable solutions in fast-moving environments.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The autonomous transition is a transformational opportunity for Lyft. Our strategy focuses on becoming the preferred marketplace, fleet, and operational partner for the world's best Autonomous Vehicle (AV) providers. Lyft will leverage our platform advantages and scale to enable the success of AV partners across the value chain, from AV technology providers to OEMs to fleet providers. This role will help shape the future of AV partnerships at Lyft by supporting the origination of new partner relationships and keeping a rapidly expanding pipeline of opportunities moving forward. You will work in a highly collaborative, fast-paced environment.

As a qualified candidate, you have a track record of managing multiple complex workstreams simultaneously and delivering high-quality outputs in a commercial or deal-making environment. You are a strong communicator who can prepare crisp, well-structured materials for senior audiences and represent Lyft professionally in partner-facing settings. You are able to coordinate across internal teams — strategy, finance, legal, and corporate development — to move deals forward efficiently. You uphold a high quality bar and have a strong appreciation for the details that matter in a commercial process. Above all, you are intellectually curious, energised by a full pipeline, and eager to develop deep expertise in the AV industry.

Responsibilities:

• Keep the pipeline moving by coordinating active AV partner conversations — scheduling meetings, setting agendas, tracking follow-ups, and making sure nothing falls through the cracks
• Make every partner interaction count by preparing crisp, well-structured materials for partner meetings, internal deal reviews, and leadership pipeline updates
• Accelerate deal momentum by drafting initial LOIs, MOUs, and term sheet inputs under the direction of the senior origination lead, turning alignment into written commitments
• Drive investment decision-making by working in close collaboration with the Corporate Development team — helping to evaluate partner opportunities, synthesise commercial context, and inform equity investment recommendations
• Give the team a clear view of the pipeline by maintaining accurate and up-to-date status, next steps, and open items across all active conversations
• Build the expertise to own deals independently over time by developing deep knowledge of different sectors — OEM, SDS, Fleet — and earning increasing responsibility for partner conversations
• Help senior leadership stay focused on the highest-value opportunities by supporting the origination lead in representing the pipeline clearly and confidently to senior stakeholders
• Stay ahead of the market by monitoring the AV ecosystem — tracking new entrants, funding rounds, partnerships, and competitive moves to inform pipeline prioritization and surface emerging opportunities

Experience:

• 3–5 years of experience in business development, strategy, or a similar commercial role
• Demonstrated ability to manage multiple active workstreams simultaneously with strong attention to detail
• Excellent written and verbal communication skills; able to prepare high-quality materials for senior internal and external audiences
• Strong cross-functional collaboration skills; comfortable working across strategy, finance, legal, and operations teams
• Genuine intellectual curiosity about the AV industry and appetite to develop expertise in a fast-moving space
• Familiarity with commercial document drafting — LOIs, MOUs, or term sheets — is a plus
• Prior experience in BD or a deal-making environment is a plus, as is prior exposure to equity investment processes, including experience at a corporate VC or in a corporate development function
• Knowledge of the AV, automotive, or mobility ecosystem is a plus

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $118,000 - $147,000 not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The autonomous transition is a transformational opportunity for Lyft. Our strategy focuses on becoming the preferred marketplace, fleet, and operational partner for the world's best Autonomous Vehicle (AV) providers. Lyft will leverage our platform advantages and scale to enable the success of AV partners across the value chain, from AV technology providers to OEMs to fleet providers. This role will help shape the future of AV partnerships at Lyft by crafting durable relationships with our partners and ensuring commercial success. You will work in a highly collaborative, fast-paced environment.

As a qualified candidate, you have a track record of owning complex, multi-stakeholder commercial relationships end-to-end — from deal close through ongoing management and growth. You are a strong communicator who can operate confidently at the executive level both internally and externally. You are able to coordinate across a wide range of internal teams — legal, finance, product, operations — without formal authority and keep multiple workstreams moving simultaneously. You uphold a high quality bar and have a strong appreciation for the commercial details that make or break a partnership. Above all, you are a builder who takes genuine pride in the quality of your partner relationships and the outcomes they deliver.

Responsibilities:

• Be the person partners trust to get things done — owning the commercial relationship for 1–2 active AV partnerships end-to-end as Lyft's primary external point of contact
• Maximize the value of each partnership by steering commercial terms, negotiating amendments, and proactively identifying opportunities to expand scope and scale over time
• Drive commercial momentum by running partner working sessions that negotiate and clarify terms, ensuring the right people are in the room, the agenda drives decisions, and follow-through is clear
• Keep a relentless grip on commercial milestones and contractual commitments, flagging risks early and resolving issues before they become problems
• Protect Lyft's contractual position by managing commercial reporting obligations under active partnership agreements, ensuring commitments are met on time and to a high standard
• Ensure operational reviews work for Lyft by overseeing participation in regular partner reviews, making sure commercial commitments are accurately represented and any issues surfaced are followed through
• Help shape how Lyft manages its most important relationships by designing and building a strategic partnership review process — establishing the cadence, format, and criteria by which partnership health and direction are assessed at the highest level
• Ensure deal value is fully realised by briefing Lyft's program management and operational teams fully on commercials, expectations, and contractual commitments at deal close and hand off
• Unlock Lyft's full internal capability by building a deep network across the organisation, leveraging cross-functional expertise to deliver on negotiation and partnership goals
• Stay ahead of each partner by developing a deep understanding of their business, strategy, and priorities — continuously identifying growth opportunities and strengthening long-term alignment
• Make Lyft a better partner over time by identifying lessons learned from active partnerships and translating them into improvements to how Lyft engages with the AV ecosystem

Experience:

• 7+ years of experience in strategic partnerships, business development, or account management, ideally in mobility, automotive, or technology
• Demonstrated track record of owning senior-level commercial relationships with complex, multi-party stakeholders
• Strong commercial instincts — able to understand complex deal structures, identify risks, and negotiate effectively
• Excellent cross-functional collaboration skills; comfortable driving alignment across legal, finance, product, and operations teams without direct authority
• Executive-level written and verbal communication skills; able to represent Lyft professionally in high-stakes partner settings
• Highly organised with the ability to manage multiple active partnerships simultaneously without losing precision on the details
• Genuine curiosity about the AV industry and appetite to develop deep expertise in a fast-moving space
• Experience with master framework agreements, technology deployment agreements, or similar long-form commercial structures is a plus
• Existing relationships in the AV, OEM, or mobility ecosystem are a plus

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $169,000 - $211,250, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Flexdrive, Lyft’s wholly-owned fleet management subsidiary, is undergoing a transformational shift from traditional rideshare fleet operations to autonomous vehicle fleet ownership and operations. We are seeking an AV Program Manager to lead the cross-functional operating plan that will prepare Flexdrive to receive, staff, and operate AV fleets at scale.

This role is the operational backbone of Flexdrive’s AV readiness initiative. You will own the master program timeline, coordinate cross-functional workstreams spanning infrastructure, people, fleet operations, treasury, legal, and finance, and ensure that all requirements are tracked, dependencies are surfaced, and deployment milestones are met. You will work directly with the Flexdrive CEO and a leadership team that includes heads of Operations, Fleet, Strategy, Infrastructure, FP&A, Treasury, Legal, and People.

This is not a traditional program management role. The work is high-stakes and foundational. If you thrive in ambiguity, can drive structure into complex multi-workstream programs, and have a bias toward action over perfect planning, this role is for you.

Why Join Us?

• Opportunity to build the operational foundation for AV fleet deployments in North America and Europe
• Direct partnership with the Flexdrive CEO and Lyft AV leadership on a transformational initiative
• Greenfield program management role—you will design the playbook, not inherit it
• High-visibility work that directly influences board-level AV strategy and investment decisions
• Collaborative, mission-driven team with a bias toward action and a belief that imperfect plans executed with vigor beat perfect plans executed too late

Responsibilities

• Program Planning & Execution
  • Own and maintain the master program timeline for the Flexdrive AV Operating Readiness, integrating deliverables and dependencies across multiple workstreams: Strategic Planning, Infrastructure, People, Fleet Operations, Treasury, Finance, and Legal.
  • Develop and manage the program’s RAID log (Risks, Assumptions, Issues, Dependencies), ensuring cross-functional blockers are identified early and escalated with clear recommendations
  • Drive weekly leadership syncs, monthly deep-dive reviews, and quarterly board updates—owning the preparation, facilitation, and follow-through for each
  • Translate upstream decisions (partner agreements, market selections) into operational requirements, updating the readiness roadmap in real time
• Cross-Functional Coordination
  • Serve as the connective tissue between workstream leads, ensuring that infrastructure timelines align with hiring plans, capital deployment schedules match construction milestones, and fleet operations readiness tracks to vehicle delivery dates
  • Partner with Infrastructure and Operations leads to align depot construction timelines with AV partner deployment schedules
  • Coordinate with People and Operations to ensure hiring, training, and certification programs are sequenced ahead of vehicle arrivals
  • Work with FP&A and Treasury to track investment spend against the capital deployment schedule and surface variance early
• Stakeholder Communication & Reporting
  • Build and deliver clear, concise status reporting to the Flexdrive CEO, Lyft AV leadership, and the Flexdrive board
  • Develop market readiness scorecards that provide at-a-glance visibility into each market’s progress against deployment milestones
  • Create and maintain program documentation including decision logs, meeting notes, and workstream status trackers
  • Prepare materials for Flexdrive board meetings and Lyft leadership reviews, translating operational detail into strategic narrative
• Process Design & Operational Excellence
  • Design and implement the program management operating model for AV readiness—this is a greenfield initiative and the cadence, tools, and processes will be built from scratch
  • Establish standardized frameworks for workstream reporting, investment ask formalization, and cross-functional dependency management
  • Identify and drive process improvements across workstreams, leveraging data to optimize timelines and resource allocation
  • Build repeatable playbooks for market readiness that scale  

Experience:

• Bachelor’s degree in Business, Operations, Engineering, or related field; MBA or relevant advanced degree is a plus
• 7+ years of experience in program management, business operations, or a similar cross-functional leadership role, ideally within high-growth tech, fleet management, logistics, or infrastructure-heavy environments
• Demonstrated experience managing complex, multi-workstream programs with 12–24 month timelines and significant pre-revenue or pre-launch investment requirements
• Strong command of program management tools and methodologies (Gantt charts, RAID logs, dependency mapping, critical path analysis)
• Excellent communication skills with proven ability to translate operational complexity into clear executive-level narratives for both internal leadership and board audiences
• Experience working directly with C-level executives and cross-functional leadership teams to drive decisions and accountability
• Strong analytical mindset with ability to identify risks, quantify trade-offs, and recommend courses of action with imperfect information
• Preferred
  • Experience with infrastructure buildout programs (depot construction, facility standup, real estate development)
  • Background in capital intensive projects, fleet management, automotive, mobility, or autonomous vehicle operations
  • Experience managing programs that span domestic and international markets, particularly European market entry
  • Familiarity with corporate entity formation, capital structure, or financial planning processes
  • Experience in a subsidiary or business unit operating within a larger corporate parent

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $132,000 - $165,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

Reporting to the Manager of Infra::Machines::Design, you will support sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.

What You’ll Be Doing:

• Act a member of the Sustaining Engineering team in the Infra::Machines::Design Organization
• Support server hardware, cabling, and networking hardware throughout its operational lifecycle 
• Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution
• Participate in 24/7 on-call rotation with other members of the team
• Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components
• Develop and maintain standards and practices for DigitalOcean hardware operations 
• Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns
• Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operations
• Coordinate with Ops teams on monitoring thresholds, failure modes and alerting
• Assist in troubleshooting cause of failures and work to prevent them in the future 
• Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience 
• Hands-on experience operating a cloud infrastructure at mid-tier scale or better
• An in-depth understanding of server hardware, firmware, and infrastructure
• Strong knowledge in troubleshooting techniques, Python and BASH
• Extra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience
• Clear communication and collaboration across key stakeholders 
• An insatiable passion for constant improvement

Compensation Range: 

• $83,000 - $104,000

*This is a remote role

JR: 2026-7565

#LI-Remote

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

Reporting to the Manager of Infra Machines Design, you will act as the team lead for sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.

What You’ll Be Doing:

• Act as technical lead for the Sustaining Engineering team in the Infra::Machines::Design Organization
• Support server hardware, cabling, and networking hardware throughout its operational lifecycle Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution
• Participate in 24/7 on-call rotation with other members of the team
• Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components
• Develop and maintain standards and practices for DigitalOcean hardware operations
• Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns
• Liase with DCOPS teams to develop, deliver, and support hardware-related runbooks
• Liase with vendor support teams regarding hardware and firmware issues and drive issues to resolution Identify gaps in tooling and operational processes and engage appropriate peer teams to close gaps
• Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operationsCoordinate with Ops teams on monitoring thresholds, failure modes and alerting
• Assist in troubleshooting cause of failures and work to prevent them in the future Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience
• Hands-on experience operating a cloud infrastructure at mid-tier scale or better
• An in-depth understanding of server hardware, firmware, and infrastructure
• Strong knowledge in troubleshooting techniques, Python and BASHExtra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience
• Clear communication and collaboration across key stakeholders An insatiable passion for constant improvement

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7601

#LI-Remote

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

We are looking for an entry-level hardware technologist with experience testing and deploying firmware to server hardware at scale. Reporting to the Manager of Infra::Machines::Design, the Firmware Qualification Engineer will qualify and deploy firmware packages across DigitalOcean products and components and join a team of engineers who have already paved the way for the many tens of thousands of servers in our infrastructure. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and explore new technologies to bring to our customers.

What You’ll Be Doing:

• Work with vendors and internal peer teams on qualifying, onboarding, and delivering new firmware to the DigitalOcean ecosystem
• Act as Tier 3 escalation on-call for triage, investigation, and resolution of system firmware issues in the DigitalOcean fleet (both customer-facing and internal)
• Participate in 24/7 on-call rotation with other members of the teamImprove existing firmware and hardware configuration automation/validation, for both hardware platforms and components (such as NIC, Storage and BMC)
• Engage with hardware vendors about new automation features and existing bugsHelp with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operations
• Coordinate with Ops teams on monitoring thresholds, failure modes and alertingAssist in troubleshooting causes of failures and work to prevent them in the future 
• Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience
• Strong understanding of x86 server hardware architecture and subsystems.
• Ideally, you’ve worked with non-x86 hardware too!Demonstrated professional proficiency in configuration management best-practices (we use Ansible and Chef)
• Experience automating server firmware components at large-scale using industry-standard tooling (Redfish, IPMI, etc) including a deep understanding of benchmarking, automating test frameworks, and process automation in general
• Practical knowledge of PXE boot, UEFI, Linux/OS boot, AMI/OEM BIOS distributions, OpenBMC/AMI/OEM BMC implementations, RAID and other storage resiliency technologies, and the full Network stack- from NIC firmware to TCP/IPAdept at Linux (or Unix) operating systems. You’ll be spending a lot of time working in one!
• Comfortable with version control systems (we use Git) and proficient in at least one programming language (such as Python or Go) Ability to participate in 24/7 on-call rotation with other members of the team
• Excellent communication skills, both within the team and with the broader company
• Have an insatiable passion for hardware, both new and old 

Compensation Range: 

• $83,000 - $104,000

*This is a remote role

JR: 2026-7606

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications.

We are seeking a Senior Engineer 2 to play a key role in our AI Infrastructure Control Plane team. This team's mission is to orchestrate and operate compute fleet, storage and networking for running AI workloads - inference, training, fine-tuning - at scale. In this high-impact role, you will be a primary technical architect and leader, responsible for building the foundational control plane services that power our large Gen AI model hosting infrastructure.

This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. You will bridge the gap between high-scale distributed systems and specialized AI inference orchestration to ensure our global platform remains simple, reliable, and accessible for developers building the next generation of AI applications.

What You’ll Do:

• Architectural Leadership: Drive the design and development of distributed services within our AI Infrastructure ecosystem, including complex orchestration for LLM inference and hosting services. Your focus will be the control plane orchestration of compute, networking, and storage for AI workloads.
• System Design: Create, refine, and assess system design proposals for our high-scale, multi-tenant inference cloud ecosystem, ensuring they meet rigorous standards for availability and resiliency.
• Operational Excellence: Lead the operational strategy for critical services, defining SLOs and leveraging advanced observability to maintain platform health in a high-scale environment.
• Cross-Functional Collaboration: Partner deeply with Product Management, TPMs, and Engineering Management peers to align technical roadmaps with business priorities.
• Strategic Growth: Work on new architecture initiatives that enable fleet optimization and help evolve DigitalOcean into a market leader for AI-native networking and infrastructure.

What You’ll Bring to DigitalOcean:

• Distributed Systems Mastery: Deep experience with distributed and cloud services, including messaging systems, databases, and infrastructure as code, observability, and security.
• Cloud Infrastructure Expertise: Advanced knowledge of cloud networking (VPCs, Load Balancers), containerization (Kubernetes), and cloud storage (block, object, NFS). Deep networking software experience (VLAN, RDMA, Ethernet, L3-L7 network protocols, etc) would be a plus.
• AI/ML Domain Knowledge: Proven experience building AI/ML products, specifically focusing on Gen AI platforms, LLM hosting, and inference workflows.
• Operational Track Record: Significant experience running customer-facing, high-availability services across multiple regions.
• Open Source Engagement: Experience integrating and building with open-source software and a bias for technical ownership.
• Software Engineering: Expert proficiency in GoLang or Python and familiarity with gRPC for service-to-service communication.

Compensation Range: 

• $139,200.00 - $174,000.00

*This is a remote role

JR: 2026-7623

#LI-Remote

DigitalOcean is seeking a Senior Engineer 2 to play a key technical role in our GPU Kernel and Performance team. DigitalOcean aims to be the Inference Cloud of choice for digitally native companies and you will help ensure we can offer the industry-leading performance for our inference services. You will be responsible for the architectural decisions that maximize throughput and minimize latency for the world’s most advanced large models. As an IC leader, you will act as a force multiplier for the engineering organization, solving the most complex bottlenecks in memory bandwidth and compute utilization while guiding the technical roadmap for our high-performance inference fleet.

What You’ll Do:

• Kernel Engineering: Design and implement high-performance GPU kernels using Triton and CUDA C++.
• Precision Optimization: Develop and deploy state-of-the-art quantization techniques (FP8, INT8, and experimental FP4) to double throughput without losing accuracy.
• Memory Magic: Optimize memory access patterns (SRAM vs. HBM3e) to eliminate bottlenecks in long-context attention mechanisms.
• Research to Production: Implement the latest architectural breakthroughs like FlashAttention-4 and TileLang directly into our production stack.

What You’ll Bring:

• Low-Level Mastery: Deep understanding of GPU architectures (SMs, Warp scheduling, Tensor Cores).
• The Toolkit: Expert-level Triton or CUDA. If you’ve contributed to the Triton compiler or wrote custom CUDA kernels for a major LLM, we want you.
• Math Foundation: Strong grasp of linear algebra and how it maps to parallel hardware.
• Performance Obsession: A track record of optimizing kernels to achieve >80% of theoretical hardware peak performance.

Compensation Range: 

• $167,200.00 to $209,000

*This is a remote role

JR:  2026-7593

#LI-Remote

What The Role Is

Reporting to the Director, Project Development, the Associate, Project Development is responsible for both supporting and directly managing the development of projects across the West region of the U.S. The Associate will be a key member of the regional team that is charged with the development and execution of the construction of Clearway Energy Group’s solar, wind, and storage project pipeline across California, Hawaii, and the Desert Southwest. The position will work with the Business Development, Origination, Engineering, Project Finance, and Construction teams across the full project lifecycle from origination to commissioning and all associated activities required to bring projects to successful commercial operation.

Candidates should have prior professional renewable energy project development experience with the ability across project siting, land and real estate, regulatory and environmental permitting, interconnection, transmission, and power marketing. Candidates should also have experience with engineering, procurement, and construction (EPC) engagement and have been through one or more successful project financing processes. Experience working in CAISO and the Western Electricity Coordinating Council (WECC) power and transmission markets is preferred.

What You'll Be Doing

• Manage and support the development of complex large-scale renewable energy projects from initial project proposal and siting, through to permitting, design, interconnection, approval, contracting, financing, and handover to construction.
• Identify, propose, and implement creative or alternative project development approaches that reduce exposure to permitting risks, optimize development schedules, or create additional project value.
• Support or manage due diligence on development-stage projects and portfolio acquisitions, including comparison and prioritization of multiple opportunities based on common siting, permitting, interconnection, power marketing, and other project metrics.
• Support the administration of development services agreements with local/regional development partners; manage a network of local project stakeholders (e.g., technical consultants, surveyors, land persons, etc.).
• Collaborate with the internal Land Acquisition team to perform and/or manage third-party-led land campaigns to secure adequate site control to support generation and interconnection facilities.
• Collaborate with the engineering team and external consultants to evaluate site layouts and constraints, technology options, schedule implications, interconnection applications, and studies.
• Coordinate and provide input to project interconnection requests, load-flow and congestion studies, and other necessary aspects of securing project transmission.
• Support the negotiation and diligence of critical project contracts and agreements, including PPAs, GIAs, Turbine Supply Agreements, and EPC contracts.
• Support projects through financing diligence efforts to support obtaining cash equity, tax equity, and/or project debt commitments before the start of construction, and at term conversion.
• Coordinate and strategize with the Origination team on the marketing of development-stage projects for new power purchase and offtake agreements, including submitting responses to Request for Proposals (RFPs).
• Create and manage project budgets and schedules, including navigating internal project stage-gate reviews and investment decisions.
• Help prepare and present materials describing project development opportunities to management.
• Maintain industry relationships/contacts and current knowledge of market drivers and industry trends to facilitate proactive development posture and early-mover positioning as opportunities materialize.

What You'll Bring

• A bachelor’s degree in engineering, business, economics, finance, environmental science, or a related field is required.
• Understanding and ability to navigate complex permitting pathways for energy projects in the western United States.
• Ability to travel as required to projects within the footprint of Clearway’s West Region (>25%).
• Minimum of 2 years of applicable experience in the renewable energy industry in the U.S., with direct experience and competence in full life-cycle development of utility-scale solar and/or wind projects.
• Experience and familiarity with all facets of land development: landowner engagement and negotiation/contracting, title resolution, subdivision, agricultural land use/water restrictions, land (ALTA) surveys, GIS, and other real estate elements as required.
• A high level of critical thought and a drive to manage and/or support multiple projects simultaneously.
• Experience managing project schedules and project budgets, as well as an understanding of key project value levers (commercial, financial, etc.).

What Would Be Nice

• Advanced study in business, finance, law, environmental science, or public policy is highly preferred.
• Experience and knowledge of governmental mandates, environmental regulations, or customer/market signals that impact or facilitate new development of renewable projects in Clearway’s West Region are preferred.
• Battery storage experience a plus.
• Knowledge of the CAISO and or WECC power and transmission markets is preferred.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

About the Role

Our mandate is to make inference deployment boring and unattended.

Anthropic serves Claude to millions of users across GPUs, TPUs, and Trainium — and every model update must reach production safely, quickly, and without disrupting service. We're building the systems that make inference deployment continuous and unattended.

As a Software Engineer on the Launch Engineering team, you'll design and build the deployment infrastructure that moves inference code from merge to production. This is a resource-constrained optimization problem at its core: validation and deployment consume the same accelerator chips that serve customer traffic — your deploys compete with live user requests for the same hardware. Every model brings different fleet sizes, startup times, and correctness requirements, so the system must adapt continuously. You'll build systems that navigate these constraints — orchestrating validation, scheduling deployments intelligently, and driving down cycle time from merge to production.

If you've built deployment systems at scale and gravitate toward the hardest problems at the intersection of automation and resource management, this team will give you an outsized scope to work on them.

Responsibilities

• Own deployment orchestration that continuously moves validated inference builds into production across GPU, TPU, and Trainium fleets, unattended under normal conditions
• Improve capacity-aware deployment scheduling to maximize deployment throughput against constrained accelerator budgets and variable fleet sizes
• Extend deployment observability — dashboards and tooling that answer "what code is running in production," "where is my commit," and "what validation passed for this deploy"
• Drive down cycle time from code merge to production with pipeline architectures that minimize serial dependencies and maximize parallelism
• Optimize fleet rollout strategies for large-scale deployments across thousands of GPU, TPU, and Trainium chips, minimizing disruption to serving capacity
• Evolve self-service model onboarding so that new models can be added to the continuous deployment pipeline without Launch Engineering involvement
• Partner across the Inference organization with teams owning validation, autoscaling, and model routing to integrate deployment automation with their systems

You May Be a Good Fit If You Have

• 5+ years of experience building deployment, release, or delivery infrastructure at scale
• Strong software engineering skills with experience designing systems that manage complex state machines and multi-stage pipelines
• Experience with deployment systems where resource constraints shape the design — whether that's fleet capacity, network bandwidth, hardware availability, or coordinated rollout windows
• A track record of building automation that measurably improves deployment velocity and reliability
• Proficiency with Kubernetes-based deployments, rolling update mechanics, and container orchestration
• Comfort working across the stack — from backend services and databases to CLI tools and web UIs
• Strong communication skills and the ability to work closely with oncall engineers, model teams, and infrastructure partners

Strong Candidates May Also Have

• Experience with ML inference or training infrastructure deployment, particularly across multiple accelerator types (GPU, TPU, Trainium)
• Background in capacity planning or resource-constrained scheduling (e.g., bin-packing, fleet management, job scheduling with hardware affinity)
• Experience with progressive delivery in systems with long validation cycles: canary/soak testing, blue-green deployments, traffic shifting, automated rollback
• Experience at companies with large-scale release engineering challenges (mobile release trains, monorepo deployments, multi-datacenter rollouts)
• Experience with Python and/or Rust in production systems

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP, Azure)
• Python or Rust

Representative projects:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

About the Role

Samsara is seeking a Sr. Product Marketing Manager — Release Marketing & Operations to build and run the operational foundation that powers our Product Marketing team. This is a unique role at the intersection of marketing craft and operational excellence — you will own the systems, processes, and programs that help PMMs do their best work at scale.

Your most visible and highest-impact ownership will be release marketing: you will drive how Samsara plans, aligns on, and communicates product innovation internally and to the market. You will be the connective tissue across PMO, R&D, Product, PMM, Sales, and Marketing leadership — keeping the launch calendar moving, the messaging coherent, and the organization aligned. You’ll also be at the forefront of envisioning how we evolve our launch approach to maximize impact. 

Beyond launch execution, you will also build the operational infrastructure that makes a world-class PMM team hum. This will range from standing up processes to crafting QBR materials to continuously improving how the team works.

This role is a rare combination: it requires someone who can run a rigorous cross-functional process, dream up ways to re-envision approaches, and has strong marketing instincts. 

This is a remote position open to candidates based in the US. 

You should apply if:

• You want to impact the industries that run our world: Your efforts will help Samsara communicate innovations that digitize large sectors of the global economy — from improving fleet safety to reducing emissions.

• You are a builder: You do not just execute existing playbooks — you design new ones. You thrive when given a blank canvas and a clear outcome.

• You love both the craft and the machinery: You care deeply about great marketing, and you are equally energized by making the systems behind it run better.

• You are energized by our opportunity: Samsara is growing fast, and this role sits at the center of ensuring our GTM motion scales with it. 

In this role, you will:

• Own the Product Launch Plan: Partner with R&D and PMM stakeholders to gather the full feature list, organize features into coherent narratives, and tier them based on strategic priority. Map launches to key market moments, and maintain the master launch plan as the single source of truth.

• Drive Cross-Functional Alignment: Run alignment sessions across Product, GTM, and Marketing leadership — owning the materials, driving to clear decisions, and tracking open items such as naming through to resolution.

• Coordinate Execution Across Tiers: Own the marketing planning and coordination meetings that keep launches on track. Partner with Demand Gen, Enablement, and Marketing leads to optimize timing, reduce messaging overlap, and amplify impact.

• Measure Launch Effectiveness: Track program-level metrics including comms engagement, sentiment, and product adoption. Provide regular reporting to PMM leadership and surface insights that inform future strategy.

• Evolve the Launch Playbook: Maintain a prioritized backlog of process gaps, convene cross-functional working groups to address root causes, and lead ongoing research into how Samsara's launch approach should evolve — especially by leveraging AI.

PMM Operations:

• Build and Run PMM Operational Programs: Design and lead high-impact team programs such as content audits, team offsites, etc. 

• Create Scalable Frameworks: Develop templates, playbooks, and toolkits that reduce friction and improve consistency across launches and PMM content.

• Elevate the PMM Team: Act as a force multiplier — identifying opportunities to improve how the team works and delivering on them.

Minimum Requirements:

• Experience: 5+ years in Product Marketing, Release Marketing, Product Ops or related role

• Operational Excellence: Proven ability to design and implement scalable processes and programs in a fast-moving environment — ideally related to new product launches and/or release marketing programs

• Cross-Functional Range: Strong track record of driving alignment across Product, Engineering, Sales, and Marketing organizations at multiple levels of seniority

• Communication: Exceptional written and verbal communication skills

• Agility: Comfortable operating in ambiguity, building without a playbook, and iterating quickly.

• AI-first Mindset: A track record of using technology – especially AI – to reimagine process and customer experiences

• Education: Bachelor's degree required.

An ideal candidate also has:

• Program Management Depth: Experience managing complex, multi-stakeholder programs with competing timelines and dependencies.

• PMM Team-Building Experience: Has helped a PMM team level up through operational improvements, shared rituals, or team programming.

• Strong Marketing Instincts: Can craft compelling messaging and identify content that will resonate or not with audiences

About the Role:

The Electro-Optical Systems team at Planet is seeking an Opto-Mechanical Engineer to help drive the design of payloads in Planet’s fleet of Earth-imaging satellites. Your mission will be to champion our payload design efforts, with a specific focus on opto-mechanical design and manufacturing. The ideal candidate will be a seasoned opto-mechanical designer who has led optical system engineering efforts across multiple programs from conceptual design through flight. As a member of the Electro-Optical Systems team within Planet’s Space Systems division, you will be a key contributor and stakeholder in Planet’s agile aerospace approach to spacecraft design, and will work hand-in-glove with optical engineering, structural analysis, thermal engineering,  and reliability & qualification, as well as the rest of Planet’s leading-edge spacecraft design and manufacturing teams. 

This is a full-time, in-office position based in our San Francisco HQ 5 days per week.

Impact You'll Own:

• Own the opto-mechanical manufacturing process of optical payloads on Planet’s next-generation satellites
• Design the manufacturing line for mid-volume production of optical payloads. Make first principle based, data-driven decisions throughout the design process to ensure efficient assembly and test processes
• Collaborate with cross-functional teams such as structural, thermal analysts and optical engineer groups to drive and perform analyses to ensure payloads meet stiffness, strength, thermal, and launch survivability requirements, as well as maintain on-orbit performance through STOP (Structural, Thermal, Optical Performance)
• Drive part and assembly design, manage fabrication with key vendors, perform failure analysis, and execute tolerance stackup and GD&T analyses to ensure precision and reliability
• Develop and maintain comprehensive design documentation 
• Lead technical presentations and reviews across all design review gates
• Support test planning and qualification test campaigns
• Be hands-on with flight and test hardware

What You Bring:

• Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, or a related technical field.
• 4+ years experience owning the development of opto-mechanical products from requirements through conceptual design, testing and manufacturing
• Experience designing for high-reliability space environments including launch survivability, vacuum conditions, on-orbit performance through thermal conditions (STOP)
• Experience in the design and fabrication of optical assemblies, incorporating components made from glass, carbon fiber, metals, ceramics, epoxies, as well as mechanisms and electrical elements
• Practical and direct engagement with hardware, from prototyping to production and testing phases
• Excellent analytical and problem-solving skills
• Experience working in a dynamic environment while driving projects to completion
• Good verbal and visual communication skills

What Makes You Stand Out:

• Expertise in optics / opto-mechanical manufacturing, metrology, alignment and calibration
• Ability to build out the manufacturing line for precision optical systems
• Experience with dynamic hardware builds, vibration and shock testing, telescope assembly, and optical performance testing
• Experience applying systems engineering principles to optimize optical payload integration, focusing on requirements management, trade-off analysis, and balancing system-level constraints such as cost, schedule, and performance
• Ability to drive manufacturers and DFM/DFA
• Proficiency in SolidWorks, Zemax, Matlab, Visual Basic, Python and/or C/C++

Application Deadline:

July 1, 2026 at 11:59pm PT

EAR/ITAR Requirements:

This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off 
• 16 Weeks of Paid Parental Leave
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Commuter Benefits (if local to an office)
• Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below.  Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

About the Role

We’re looking for an infrastructure research engineer to design, optimize, and scale the systems that power large AI models. Your work will make inference faster, more cost-effective, more reliable, and more reproducible to enable our teams to focus on advancing model capabilities rather than managing bottlenecks.

Our focus is on performant and efficient model inference both to power real-world applications and to accelerate research. This role is responsible for the infrastructure that ensures every experiment, evaluation, and deployment runs smoothly at scale.

Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.

What You’ll Do

• Work alongside researchers and engineers to bring cutting-edge AI models into production.
• Collaborate with research teams to enable high-performance inference for novel architectures.
• Design and implement new techniques, tools, and architectures that improve performance, latency, throughput, and efficiency.
• Optimize our codebase and compute fleet (e.g., GPUs) to fully utilize hardware FLOPs, bandwidth, and memory.
• Extend orchestration frameworks (e.g., Kubernetes, Ray, SLURM) for distributed inference, evaluation, and large-batch serving.
• Establish standards for reliability, observability, and reproducibility across the inference stack.
• Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.
  
  

Skills and Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent experience in computer science, engineering, or similar.
• Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.
• Experience with inference serving systems optimized for throughput and latency (e.g., SGLang, vLLM).
• Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
• A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.
• Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases

Preferred qualifications — we encourage you to apply if you meet some but not all of these:

• Experience training or supporting large-scale language models with hundreds of billions of parameters or more.
• Understanding of distributed compute systems, GPU parallelism, and hardware-aware optimizations.
• Contributions to open-source ML or systems infrastructure projects (e.g., SGLang, vLLM, PyTorch, Triton, DeepSpeed, XLA).
• Track record of improving research productivity through infrastructure design or process improvements.

Logistics

• Location: This role is based in San Francisco, California. 
• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

About The Role

Samsara’s mission is to improve industrial efficiency, safety, and quality at a massive scale, through the use of sensors and software. Our suite of IoT products and software platform brings the benefits of sensor data to traditional industries like transportation, food and beverage distribution, construction, state and local government, and K-12 education. We help our customers transport food, medicine, and other goods safely across the country, monitor deliveries for unsafe conditions, and help fleet managers improve the efficiency of their operations.

Samsara’s Product Design team is responsible for crafting user-friendly features, workflows, and interfaces that our customers use every day to run their operations. This involves talking to customers, working with engineers and product managers to understand problems, rapidly designing and iterating on mocks and user flows, and communicating ideas effectively to stakeholders. We also build design systems that underpin all our products to ensure a consistent and cohesive user experience.

We’re looking for an experienced product design director who will build out an already high-caliber group of designers and help shape the product experience for all our customers.

This is a remote position based in the United States or Canada. Relocation assistance will not be provided for this role.

In this role, you will: 

• Lead, grow, coach and mentor a team of design managers 
• Engage with customers to deeply understand their operations and people
• Ship high-quality designs based on these customer needs
• Collaborate with partners to define opportunities and deliver a best-in-class experiences
• Define and drive the product design strategy across product areas 
• Create and refine tools, systems and processes that improve team health and output
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices
• Hire, develop and lead an inclusive, engaged, and high performing team

Minimum requirements for the role:

• 4-6 years (or more) of product design management experience 
• Strong portfolio that showcases ability to lead teams that ship elegant solutions to complex problems

An ideal candidate also has:

• Track record of shipping step-changes to the UX that drive customer and business impact
• A history of hiring, growing and retaining great talent
• Proven ability to collaborate with cross-functional partners to ship high quality experiences
• Experience identifying and instituting changes that improve employee experiences
• Expertise in providing feedback that accelerates career growth and improves product quality
• A desire to improve yourself, the team, and product experiences

About the Role

We are looking for an experienced Senior Product Marketing Manager to drive the go-to-market strategy and adoption of our fast-growing Smart Trailers and Connected Equipment products, as well as launch product innovation.

The role is ideal for a strategic storyteller and well-rounded go-to-market thinker who loves blending customer empathy, technical depth, and go-to-market execution. You’ll shape how we bring innovations to market, craft compelling narratives that resonate with operational and fleet leaders for some of the world’s largest organizations, and ensure all teams are aligned around a unified strategy and story that drives impact. 

This is a high-impact, dynamic position on a mission-driven team; you will be a key player in a fast-moving part of the business with regular exposure to senior leadership, thriving in an environment that values proactive ownership over a predictable, step-by-step-driven day.

This is a remote position open to candidates based in the United States.

You should apply if:

• You are a strategic operator: You can connect the dots across product, sales, and marketing, turning customer insights into successful go-to-market strategies.
• You are a builder: You want to shape how a category-defining product grows and evolves, not just execute what’s already been defined. You can operate autonomously and make insights-driven decisions that drive business impact.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best across new offices.

In this role, you will: 

• Define and manage end-to-end GTM strategy for an entire product area, including messaging, positioning, launch planning, sales enablement, and customer adoption. 
• Fuel Product Adoption: Design and run marketing programs focused on driving the adoption and usage of recently launched products within our customer base.
• Be the Voice of the Customer: Engage regularly with customers through beta programs, feedback sessions, and events to build advocacy and gather insights.
• Empower Our Sales Team: Create and deliver high-impact sales enablement materials, including training, battlecards, competitor insights, and core messaging to help our sales team win.
• Create & Shape Content: Collaborate with marketing, comms, and video teams to create and vet compelling, customer-facing content that communicates our product value.
• Drive creative, multi-channel marketing campaigns that resonate with internal and external audiences. Partner with growth and demand generation teams to execute and measure results. 
• Measure What Matters: Analyze performance dashboards to measure product adoption, campaign effectiveness, and key business metrics, reporting on progress to leadership.

Minimum requirements for this role:

• 5+ years of relevant experience in core product marketing, or Management Consulting experience with a focus on enterprise sales and go to market. 
• Demonstrate a mission-critical, commercial mindset with deep empathy for B2B sales channels and experience helping them win deals.
• Excellent written and verbal communication skills. You’re comfortable presenting to internal and external audiences (large and small) and are an expert at creating and editing everything from pithy emails to detailed launch plans to training materials and more. 
• Excel at customer-centric storytelling, translating technical features into clear value, and eagerly engaging directly with customers.
• Act as a proactive, resilient self-starter who thrives in ambiguity and takes full ownership to drive complex problems to a solution.
• Strong cross-functional leader – you have on-the-job experience managing and communicating complex projects with many stakeholders. 
• Strong strategic and analytical skills, with the ability to synthesize complex data into clear, actionable insights.
• Bachelor’s degree required, MBA preferred.

An ideal candidate also has:

• Experience in B2B marketing.
• High sense of urgency and ambitious work ethic to drive business outcomes.
• Analytical chops to understand customer data and measure the effectiveness of marketing programs,

About the role:

Samsara is seeking a high-impact enterprise seller to bring our newest product lines to market at scale (Asset Tags, Fleet Apps, Multi-cam). This is a strategic overlay role working in partnership with our most senior Account Executives (AEs) across Select & Strategic accounts. You will lead the charge in scaling early-stage products, influencing GTM, and defining budget strategies within some of our largest customers.

About the Team

This emerging team will report into a Regional Sales Director (RSD) and consist of specialist sellers aligned by segment and product. AEs on the team are charged with the growth of one of two product focuses to start (Asset Tags or Fleet Apps), and will be incentivized on growth targets across a single AVP org. Sellers will drive growth through strategic, high-value deal execution; establishing the business case for emerging products at flagship reference customers; and cross-functionally partnering to establish the infrastructure and resources for other AEs across the segment to be successful.

This is a remote position open to candidates residing in the United States.

You should apply if: 

• You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You have an innate curiosity about how businesses work: One day you’ll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support in order to make a larger impact. 
• You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven’t been met with the type of technology we offer. Our customer's value earned trust and human relationships built over time.
• You want to be with the best: Samsara’s high-performance culture means you’ll be surrounded by the best and challenged to go farther than you have before. 
• You are a team player: At Samsara, sales is a team sport. We help each other out by sharing best practices and focusing on winning as a team.

In this role, you will: 

• Co-develop an emerging product pipeline with AEs across major accounts
• Drive pilot strategy and success metrics for early adoption
• Own executive-level discovery and storytelling for emerging SKUs
• Partner with GTM and Product to feed back insights and shape roadmap
• Build frameworks, assets, and insights that scale across the sales org
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• 5+ years in complex, full-cycle enterprise sales
• Proven track record of consistent quota over-achievement in complex accounts and $500k+ ARR transactions
• Demonstrated success with 6- and 7-figure deals
• Clear, confident communicator with strong customer instincts
• Demonstrated entrepreneurial spirit and ability to lead through influence

An ideal candidate also has:

• Overlay or new product launch experience
• Experience working with Product and Marketing to influence GTM strategy
• Ability to operate in strategic partnership with senior AEs and account teams
• Comfort in presenting to and influencing C-suite executives

About the role

Every day, the world’s largest fleets depend on maintenance operations to keep their vehicles and equipment running. When a truck breaks down on the side of a highway or a piece of heavy equipment fails on a job site, the cost isn’t just a repair bill — it’s missed deliveries, idle crews, compliance risk, and eroded customer trust. Despite the stakes, most maintenance teams still run on spreadsheets, whiteboards, and legacy systems that haven’t changed in decades. Samsara is changing that.

The Connected Asset Maintenance team is building Samsara’s next major product line — a modern, intelligent maintenance and asset management platform purpose-built for physical operations. We’re a few quarters in, moving fast, and building from the ground up. Think of this as a startup inside Samsara: a small, focused team with the full backing of a scaled platform, massive distribution, and millions of connected assets already generating the data that makes our product uniquely powerful.

We’re looking for a Principal Product Manager who will own a significant portion of our Maintenance product. You’ll report directly to the VP of Product & Engineering for the Business Unit. One week you might be in a maintenance garage watching a fleet technician diagnose an engine fault, and the next you’ll be whiteboarding a new workflow with your engineering team or jumping on a call with Sales to close a strategic deal. You’ll spend serious time on-site with customers — not just interviewing them, but learning their world: how work orders flow, how parts get tracked, how a maintenance director decides what gets fixed today versus next week. That depth of understanding is what separates good products from great ones in this space.

This is a remote position open to candidates residing in the US.

You should apply if

• You want to build something from scratch: You’re energized by the blank canvas of a new product, not intimidated by it. You love 0-to-1 and you know what it takes — the scrappiness, the speed, the willingness to do whatever the product needs.
• You’re deeply curious about how the physical world works: You believe the best product insights come from being where the work actually happens, and you’re energized — not drained — by time in the field.
• You’re already using AI to make yourself faster: You don’t just build AI products — you use AI tools daily in your own work (writing specs, analyzing customer data, prototyping ideas, accelerating research). You see this as table stakes, not a nice-to-have.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper-growth environment.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.

In this role, you will

• Become a domain expert in maintenance operations. Build deep, lasting relationships with customers — maintenance directors, fleet managers, technicians — and translate what you learn into product conviction that the team can rally around.
• Own the vision, strategy, and roadmap for your product area within Connected Asset Maintenance. Define where we’re going, why, and in what order — balancing customer value, technical feasibility, and business impact. Communicate it clearly to the team, to leadership, and to customers.
• Drive the full product lifecycle from discovery and definition through design, build, launch, and iteration. Set success criteria and stage-gates. Ensure we ship on time and at the quality bar our enterprise customers expect.
• Partner with Engineering and Design to build a world-class product. Bring strong opinions on UX and workflow design. Make crisp tradeoff decisions. Use AI tools aggressively to accelerate research, spec writing, and prototyping — and raise the bar for the team.
• Work cross-functionally with Sales, Customer Success, and Marketing to win strategic deals, drive adoption post-sale, and build the GTM playbook for a new product line. You’re not above jumping on a sales call or writing enablement materials.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role

• 6+ years in a software product management role, with demonstrated experience building a new product or business from early stages.
• A track record of deep customer engagement — building real relationships with customers and turning those insights into products that win.
• Strong technical fluency — you can go deep with engineers on data models, APIs, and system architecture, and you establish credibility quickly.
• Active use of AI tools in your day-to-day product work. You should be able to point to specific ways AI makes you faster and better today.
• Proven ability to set product vision and roadmaps, and to ship products that deliver measurable business results on tight timelines.
• Excellent communication skills — comfortable presenting to enterprise customers, senior executives, and cross-functional teams. Equally strong writing clear strategy documents and concise product specs.
• Comfort navigating ambiguity and driving clarity. You don’t wait for someone to tell you what to do — you figure it out and move.

An ideal candidate also has

• History of working on successful B2B enterprise products and working directly with large customers ($100K+ ARR).
• Experience as a founder or at an early-stage startup where you wore multiple hats and owned outcomes end-to-end.
• Bachelor’s or Master’s degree in a technical field.

About the role

Every day, the world’s largest fleets depend on maintenance operations to keep their vehicles and equipment running. When a truck breaks down on the side of a highway or a piece of heavy equipment fails on a job site, the cost isn’t just a repair bill — it’s missed deliveries, idle crews, compliance risk, and eroded customer trust. Despite the stakes, most maintenance teams still run on spreadsheets, whiteboards, and legacy systems that haven’t changed in decades. Samsara is changing that.

The Connected Asset Maintenance team is building Samsara’s next major product line — a modern, intelligent maintenance and asset management platform purpose-built for physical operations. We’re a few quarters in, moving fast, and building from the ground up. Think of this as a startup inside Samsara: a small, focused team with the full backing of a scaled platform, massive distribution, and millions of connected assets already generating the data that makes our product uniquely powerful.

We’re looking for a Principal Product Manager who will own a significant portion of our Maintenance product. You’ll report directly to the VP of Product & Engineering for the Business Unit. One week you might be in a maintenance garage watching a fleet technician diagnose an engine fault, and the next you’ll be whiteboarding a new workflow with your engineering team or jumping on a call with Sales to close a strategic deal. You’ll spend serious time on-site with customers — not just interviewing them, but learning their world: how work orders flow, how parts get tracked, how a maintenance director decides what gets fixed today versus next week. That depth of understanding is what separates good products from great ones in this space.

This is a remote position open to candidates residing in Canada.

You should apply if

• You want to build something from scratch: You’re energized by the blank canvas of a new product, not intimidated by it. You love 0-to-1 and you know what it takes — the scrappiness, the speed, the willingness to do whatever the product needs.
• You’re deeply curious about how the physical world works: You believe the best product insights come from being where the work actually happens, and you’re energized — not drained — by time in the field.
• You’re already using AI to make yourself faster: You don’t just build AI products — you use AI tools daily in your own work (writing specs, analyzing customer data, prototyping ideas, accelerating research). You see this as table stakes, not a nice-to-have.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper-growth environment.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.

In this role, you will

• Become a domain expert in maintenance operations. Build deep, lasting relationships with customers — maintenance directors, fleet managers, technicians — and translate what you learn into product conviction that the team can rally around.
• Own the vision, strategy, and roadmap for your product area within Connected Asset Maintenance. Define where we’re going, why, and in what order — balancing customer value, technical feasibility, and business impact. Communicate it clearly to the team, to leadership, and to customers.
• Drive the full product lifecycle from discovery and definition through design, build, launch, and iteration. Set success criteria and stage-gates. Ensure we ship on time and at the quality bar our enterprise customers expect.
• Partner with Engineering and Design to build a world-class product. Bring strong opinions on UX and workflow design. Make crisp tradeoff decisions. Use AI tools aggressively to accelerate research, spec writing, and prototyping — and raise the bar for the team.
• Work cross-functionally with Sales, Customer Success, and Marketing to win strategic deals, drive adoption post-sale, and build the GTM playbook for a new product line. You’re not above jumping on a sales call or writing enablement materials.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role

• 6+ years in a software product management role, with demonstrated experience building a new product or business from early stages.
• A track record of deep customer engagement — building real relationships with customers and turning those insights into products that win.
• Strong technical fluency — you can go deep with engineers on data models, APIs, and system architecture, and you establish credibility quickly.
• Active use of AI tools in your day-to-day product work. You should be able to point to specific ways AI makes you faster and better today.
• Proven ability to set product vision and roadmaps, and to ship products that deliver measurable business results on tight timelines.
• Excellent communication skills — comfortable presenting to enterprise customers, senior executives, and cross-functional teams. Equally strong writing clear strategy documents and concise product specs.
• Comfort navigating ambiguity and driving clarity. You don’t wait for someone to tell you what to do — you figure it out and move.

An ideal candidate also has

• History of working on successful B2B enterprise products and working directly with large customers ($100K+ ARR).
• Experience as a founder or at an early-stage startup where you wore multiple hats and owned outcomes end-to-end.
• Bachelor’s or Master’s degree in a technical field.

You are a hands-on engineer who builds the software and processes that keep a large fleet of GPU servers healthy and productive. You write systems and tooling for managing 1000s of servers including  provisioning, health monitoring, error detection, and recovery — and when something breaks that automation can’t fix, you drive resolution with partners.

Key responsibilities

• Build and maintain Python fleet tracking system that manages the full lifecycle of servers including contracting and procurement, target use, pricing, availability, health, RMAs, etc
• Build server management tooling that automates provisioning, health checks, GPU diagnostics, recovery and alerting
• Create and maintain metrics, dashboards, and alerting for hardware health across the fleet (GPU errors, disk failures, network issues, thermals)
• Leverage AI to an extreme level to build tools and automate alerting and recovery
• Implement and enforce OS-level security: hardening baselines, SELinux/AppArmor policies, SSH key management, vulnerability scanning, and compliance automation
• Manage and optimize distributed and local storage systems supporting model weights, checkpoints, and ephemeral scratch: NVMe arrays, NFS, parallel file systems, and object storage
• Tune Linux systems for AI workloads: kernel parameters, NUMA topology, CPU pinning, hugepages, I/O schedulers, and GPU driver stack optimization (NVIDIA drivers, CUDA, container runtimes)
• Develop a suite of automated error detection and recovery processes
• Work with partners to solve technical issues

Requirements

• 3+ years experience managing bare-metal and cloud based server fleets at scale (100+ nodes)
• Strong software engineering skills in Python; you write production tooling, not scripts
• Deep Linux systems knowledge: boot process, kernel tuning, networking, storage, systemd, cgroups, namespaces, performance profiling
• Strong experience with configuration management and infrastructure-as-code: Ansible, Terraform, cloud-init
• Solid understanding of storage technologies: LVM, RAID, NVMe, NFS, Lustre or GPFS, and Linux I/O stack tuning
• Familiarity with hardware diagnostics and failure modes (GPUs, NVMe, NICs, memory)
• Experience building internal tools or dashboards for infrastructure visibility
• Excellent communication and ability to drive technical decisions across teams
• Self-starter who executes quickly, takes ownership, and constantly seeks improvement

Nice to have

• Familiarity with network configuration and diagnostics (VLAN, VXLAN, ECMP, BGP, tcpdump)
• Experience with NVIDIA GPU infrastructure: driver management, health monitoring, DCGM, NVLink/NVSwitch diagnostics, RDMA, InfiniBand/RoCEv2
• Experience with AMD GPUs
• Experience with bare metal and VM provisioning (PXE/iPXE, Kickstart, libvirt, Qemu/KVM)
• Experience with compliance frameworks relevant to cloud providers (SOC 2, ISO 27001)

Compensation

• $180,000-250,000 plus equity + benefits

Location

• San Francisco, CA (we are open to remote in the US for Senior and Staff levels)

What we offer at fal

• Interesting and challenging work
• A lot of learning and growth opportunities
• We are offering relocation assistance to San Francisco.
• We offer relocation assistance to San Francisco.
• Health, dental, and vision insurance (US)
• Regular team events and offsites

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

Senior Software Engineer - Infrastructure

As a Senior Software Engineer on the Infrastructure team, you will be an early contributor to the growing team to support a rapidly expanding fleet of satellites. 

Speed and reliability aren’t luxuries here; they’re lifelines. When a satellite is orbiting thousands of miles above Earth, minutes matter. Our developers need to iterate and deploy rapidly to fix mission-critical issues and push improvements that keep spacecraft healthy and missions on track. You’ll be the one making sure our CI pipelines aren’t just efficient, but blazing fast, so our engineers can respond to the unexpected in real time. You’ll own every aspect of the development workflow including AI assistant tools, language upgrades, build systems, pre-commit checks, and emerging projects to help unlock developer velocity. 

If you’re excited by the idea of supporting spacecraft with infrastructure that’s as mission-critical as the satellites themselves, this is your launchpad.

This role supports both commercial and U.S. Government programs.

Role

• Maintain and streamline a CI pipeline integrating with a mix of real and simulated hardware
• Introduce and optimize build tools and workflows to accelerate development
• Automate release, deployment, and monitoring tooling for development and production systems
• Implement and own the proliferation of metrics and performance tracking in development, CI, production, and mission contexts
• Lead initiatives that improve developer productivity and developer experience

Requirements

• 6+ years experience in Infrastructure and DevOps engineering
• Bachelor of Science in a related discipline (e.g. Computer Science, Information Technology)
• Proficiency with Python or other scripting language
• Experience with scaling build systems such as, but not limited to: Bazel, CMake, or Pants
• Strong Experience with Linux
• Experience working with CI tools such as Gitlab, Github, Jenkins, Tekton or others
• Strong written and oral communication skills
• Highly motivated, self-starting, and able to perform duties autonomously without much supervision

Bonus

• Bazel build system
• Code coverage reporting
• AI tooling for developers
• Remote development environments
• Flaky test management and infrastructure