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Project Coordinator Solar Jobs

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Explore current project coordinator solar jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Palantir
📍 United States• Internship• From $10K/mo
Just now

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Forward Deployed Engineer, Internship Forward Deployed Engineering is a radical commitment to the outcome. This is Palantir’s operating ethos. We pioneered this unique position, embedding engineers directly with our customers to tackle their most pressing challenges head-on. As an FDE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. From hospital beds to factory floors, Forward Deployed Engineers (FDEs) embed themselves in the customer’s reality until the problem is theirs. This requires walking many miles in a customer’s shoes, building past the perimeter of what the product currently offers, and deviating from every pre-existing formula to solve the problem. Whether that problem is “How do we predict and mitigate wildfire risks across a power grid?” or “How can we analyze and adapt a global supply chain to deliver critical parts on time?” You’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. Core Responsibilities To solve mission-critical problems by deploying software and AI into the high stakes operations of the world’s leading institutions. This requires a ruthless commitment to truth-seeking and prioritizing real outcomes. The work is difficult. The stakes are real. You will work in small, high-trust teams and own projects end-to-end, from the first conversation with a customer, to shipping the product that changes how they operate. You will embed with the customer, the chaos, and the consequences, and will be entrusted with real ownership to: Collaborate with engineers to make architecture and design decisions Wrestle with

javascripttypescriptpython
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M
Modal
📍 New York• Full-time• $150K – $270K/yr
Just now

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We’re looking for an Infrastructure Security Engineer to design and secure the core systems that power our platform. This role focuses on building security directly into our infrastructure—from container isolation and orchestration to identity and secrets management in a multi-tenant, cloud-native environment. You’ll work closely with engineering teams to define secure primitives and ensure our platform is resilient, scalable, and trustworthy by design. This is a hands-on, deeply technical role focused on real systems, not compliance or policy. What You'll Do: Platform & Runtime Security Design and improve isolation mechanisms for multi-tenant workloads (containers, sandboxing, execution environments) Strengthen boundaries between customers, workloads, and internal systems Identify and mitigate risks in distributed, dynamic compute environments Container & Orchestration Security Secure and

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O
OpenAI
📍 San Francisco• Full-time• Remote• $380K – $500K/yr
Just now

About The Team The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing multimodal data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs. About The Role We’re looking to advance how OpenAI prepares, curates, synthesizes and understands multimodal data at scale. You’ll work on research and production problems like synthesizing multimodal content (images, audio, and video) and their supervisions, improving noisy data pipelines, building better quality filters, using models to automate data prep, and measuring whether changes in the dataset improve model performance. We Expect You To Have a strong track record of new or improved ML ideas, through publications, projects, or applied research. Own and drive a research agenda, from choosing the right multimodal data problems to carrying long-running work through to impact. Be excited by OpenAI’s empirical, collaborative approach to research. Nice To Have Experience with multimodal learning, audio, vision, video, synthetic data, or data-centric ML. Thoughtfulness about AI’s impact, including privacy, provenance, and data quality. Experience building high-performance deep learning or large-scale data processing systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of

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F
Freddiemac
📍 United States• Full-time• $94K – $140K/yr
Just now

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you a smart, curious, self-motivated professional with a passion for multifamily real estate? Or have you worked at a commercial real estate firm, commercial bank, or commercial real estate developer? If so, Freddie Mac might be the employer for you! We are looking for a Multifamily Asset Management Professional to join the Structured Transactions group. This group falls within asset management and addresses related functions for Freddie Mac structured loans. These loans represent a multi-billion-dollar, long-term portfolio exposure to Freddie Mac but also represent a significant contribution to some of Freddie Mac’s most meaningful corporate housing affordability objectives. The hired candidate will analyze, process, and manage a variety of loan level consent requests, complete underwriting analysis, and work with legal counsel as appropriate to make recommendations to management on certain credit decisions and regular requests. The candidate will also work on various other projects within the Structured Transactions group purview, including financial analysis of lease-up loans, deal level analysis and consents, and portfolio level reporting. Our Impact: The Structured Transactions Team within Freddie Mac Multifamily Asset Management is responsible for asset management of the most complex portfolio and securitized loans, including bonds, Tax-Exempt Loans, Transitional Lines of Credit and related activities, Hedges, and the Low-Income Housing Tax Credit (LIHTC) Equity portfolio. We work with various groups at Freddie Mac, the Optigo network, and the US Multifamily industry. Your

Excelfinancecustomer service
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Baseten
📍 San Francisco• Full-time• Remote• $165K – $330K/yr
Just now

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs, observability, and debugging workflows, you'll build the tools customers rely on every day to manage mission-critical inference deployments. Few teams at Baseten have as much breadth and visibility as Dedicated Inference. The team is often at the forefront of new product development, giving engineers the opportunity to shape the experience of some of our most important customers. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Dedicated Inference team: Chains for multi-component workflows Asynchronous inference Model APIs for frontier models Model training built for production inference RESPONSIBILITIES Implement new features and products for the team Design ergonomic APIs and abstractions to solve customer problems Fix bugs and resolve customer issues with urgency Work across the stack - regardless of where you start, you’ll end up touching both React Components and Kubernetes Pods Work closely with the product and forward deployed engineering teams to develop and drive new product ideas REQUIREMENTS Bachelor's degree or higher in Computer Science or related field Proficient coding abilities in one or more popular programming or scripting languages; Python, Go, or JavaScript proficiency is a

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O
OpenAI
📍 San Francisco• Full-time• Remote• $266K – $445K/yr
Just now

About the Team OpenAI’s Applications Engineering organization builds and operates the products (such as ChatGPT & Codex) that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About the Role We’re hiring Backend Software Engineers to design and implement safe services and infrastructure that power our core products. What You’ll Do Architect, build, and improve scalable backend systems and APIs. Drive performance, reliability, and safety across distributed services. Implement data storage, retrieval, compute, and integration solutions. Participate in long-term architectural planning and technical design reviews. Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. You Might Thrive Here If You: Have strong experience with distributed systems, APIs, and backend languages (e.g., Go, Python, Rust, C++). Have experience setting up and maintaining production backend services and data pipelines. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Enjoy building resilient services that handle large scale and complexity. Are self-directed and enjoy figuring out the best way to solve a particular problem Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek

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S
Sentry
📍 San Francisco• Full-time• Remote• $140K – $160K/yr
Just now

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role: The Solutions Engineering team at Sentry is responsible for helping our largest customers successfully embed Sentry into their applications and workflows, from integrating our SDK to making sure alerts and issues make it to the right place at the right time. Solutions Engineers will be interfacing with customers to ensure optimal implementation and utilization ensuring that: Developers can effectively identify and resolve slowdowns and errors in their applications. Development teams increase developer productivity and customer satisfaction. In this role you will Understand customers' pain points and objectives and translate those into implementation and onboarding plans to meet those objectives and demonstrate business value. Develop best practices, educational offerings, and content around error and performance management, open-source, or the Sentry product (ex: “how-to” articles and/or videos on specific functionality of the product). Act as a trusted advisor and subject-matter expert for customers to assist with instrumenting software engineering and monitoring best practices Provide workshop-level interaction to customers in order to drive the maturity of use and broader adoption. Work cross-functionally (internally) to provide feedback to the product and development teams and align Sentry's product roadmap with improving time to value-delivered. You’ll love this job if you Enjoy talking about technology and interfacing with engineers and engineering leaders. Appreciate working in a dynamic environment, on a variety of projects with customers from lots of different industries. Love flexing your creative b

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B
Baseten
📍 San Francisco• Full-time• Remote• $165K – $330K/yr
Just now

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: Multi-cloud capacity management Inference on B200 GPUs Multi-node inference Fractional H100 GPUs for efficient model serving RESPONSIBILITIES Develop infrastructure components for our ML inference platform using Python and Go Implement and maintain Kubernetes deployments for model serving Contribute to our inference orchestration layer for model deployments Build and enhance monitoring systems for model performance metrics Implement efficient resource management solutions for ML workloads Support infrastructure automation to improve ML deployment workflows Work closely with team members to implement technical solutions Help balance performance optimization with system reliability Participate in technical discussions around infrastructure improvements Learn and apply infrastructure best practices REQUIREMENTS Bachelor's degree or higher in Computer Science or related field Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus Working knowledge of Kubernetes and containerizati

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M
Modal
📍 San Francisco• Full-time• $180K – $220K/yr
Just now

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Modal builds the infrastructure that lets engineers run AI workloads without the usual pain. To do this well, we need exceptional people – and that’s where you come in. As the first dedicated GTM recruiter on our Talent team, you’ll own sales, GTM, and other G&A searches end-to-end. You’ll work closely with our Head of Talent, founders, and GTM leads to shape how we hire and help bring in the people who will define what Modal becomes. What you’ll do: Drive full-cycle recruiting for key hires across GTM and G&A functions (sourcing, pitching, guiding interviews, and closing candidates) Partner with GTM leaders to understand the real work and calibrate on what great looks like Help set our hiring bar and how we evaluate talent Execute creative top-of-funnel strategies that resonate with a strong community of experienced GTM talent Deliver a fast, respectful, honest candidate experience Bring

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Palantir
📍 United States• Full-time• Hybrid• $135K – $145K/yr
Just now

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Forward Deployed Engineer, New Grad Forward Deployed Engineering is a radical commitment to the outcome. This is Palantir’s operating ethos. We pioneered this unique position, embedding engineers directly with our customers to tackle their most pressing challenges head-on. As an FDE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. From hospital beds to factory floors, Forward Deployed Engineers (FDEs) embed themselves in the customer’s reality until the problem is theirs. This requires walking many miles in a customer’s shoes, building past the perimeter of what the product currently offers, and deviating from every pre-existing formula to solve the problem. Whether that problem is “How do we predict and mitigate wildfire risks across a power grid?” or “How can we analyze and adapt a global supply chain to deliver critical parts on time?” You’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. Core Responsibilities To solve mission-critical problems by deploying software and AI into the high stakes operations of the world’s leading institutions. This requires a ruthless commitment to truth-seeking and prioritizing real outcomes. The work is difficult. The stakes are real. You will work in small, high-trust teams and own projects end-to-end, from the first conversation with a customer, to shipping the product that changes how they operate. You will embed with the customer, the chaos, and the consequences, and will be entrusted with real ownership to: Collaborate with engineers to make architecture and design decisions Wrestle with dat

javascripttypescriptpython
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P
Palantir
📍 United States• Full-time• Hybrid• $135K – $145K/yr
Just now

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Forward Deployed Engineer, New Grad Forward Deployed Engineering is a radical commitment to the outcome. This is Palantir’s operating ethos. We pioneered this unique position, embedding engineers directly with our customers to tackle their most pressing challenges head-on. As an FDE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. From hospital beds to factory floors, Forward Deployed Engineers (FDEs) embed themselves in the customer’s reality until the problem is theirs. This requires walking many miles in a customer’s shoes, building past the perimeter of what the product currently offers, and deviating from every pre-existing formula to solve the problem. Whether that problem is “How do we predict and mitigate wildfire risks across a power grid?” or “How can we analyze and adapt a global supply chain to deliver critical parts on time?” You’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. Core Responsibilities To solve mission-critical problems by deploying software and AI into the high stakes operations of the world’s leading institutions. This requires a ruthless commitment to truth-seeking and prioritizing real outcomes. The work is difficult. The stakes are real. You will work in small, high-trust teams and own projects end-to-end, from the first conversation with a customer, to shipping the product that changes how they operate. You will embed with the customer, the chaos, and the consequences, and will be entrusted with real ownership to: Collaborate with engineers to make architecture and design decisions Wrestle with dat

javascripttypescriptpython
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P
Palantir
📍 United States• Full-time• Hybrid• $135K – $200K/yr
Just now

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As an Information Security Engineer, you are responsible for the security of Palantir’s people and infrastructure around the globe. Your technical expertise is second only to your integrity and real passion for security and technology in general. Our ideal candidate works well on a team, is highly motivated, and enjoys solving problems and taking on new challenges. In this role, you’ll be the first line of defense for protecting Palantir. Your team is responsible for the 24/7 prevention, detection, and investigation of security events and active attacks across our entire infrastructure. Your work will directly impact the success of Palantir's mission as you seek to make it challenging for our adversaries and protect our global network. Core Responsibilities Build, run, and own infrastructure and automation to detect, contain, and eradicate security threats. Develop alerting and detection strategies to identify malicious or anomalous behavior. Develop new and novel defensive techniques to identify or counteract changes in adversary techniques and tactics. Dissect network, host, memory, and other artifacts originating from multiple operating systems and applications. Investigate enterprise-wide operations to uncover sophisticated and undetected threats. Partner closely with other members of the Information Security team to lead changes in the company's network defense posture. What We Value Broad exposure to multiple security subject areas, including a strong background in forensics or threat intelligence. Deep exposure in Incident Response or Detection Engineering. Desire to furt

pythonawsazure
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M
Modal
📍 New York• Full-time• $150K – $270K/yr
Just now

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform. This is an engineering role focused on automation. You'll build detections, investigation tooling, and response capabilities that scale with our infrastructure, using AI where it meaningfully improves signal, investigation speed, and operational effectiveness. You'll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient. What You'll Work On: Detection Engineering Design and build high-fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systems Continuously improve detections based on telemetry, threat intelligence, and lessons learned from incidents Improve visibility across cloud infrastructure, containers, identity system

sqlkuberneteslinux
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P
Palantir
📍 United States• Full-time• Hybrid• $135K – $200K/yr
Just now

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As an Information Security Engineer, you are responsible for the security of Palantir’s people and infrastructure around the globe. Your technical expertise is second only to your integrity and real passion for security and technology in general. Our ideal candidate works well on a team, is highly motivated, and enjoys solving problems and taking on new challenges. In this role, you’ll be the first line of defense for protecting Palantir. Your team is responsible for the 24/7 prevention, detection, and investigation of security events and active attacks across our entire infrastructure. Your work will directly impact the success of Palantir's mission as you seek to make it challenging for our adversaries and protect our global network. Core Responsibilities Build, run, and own infrastructure and automation to detect, contain, and eradicate security threats. Develop alerting and detection strategies to identify malicious or anomalous behavior. Develop new and novel defensive techniques to identify or counteract changes in adversary techniques and tactics. Dissect network, host, memory, and other artifacts originating from multiple operating systems and applications. Investigate enterprise-wide operations to uncover sophisticated and undetected threats. Partner closely with other members of the Information Security team to lead changes in the company's network defense posture. What We Value Broad exposure to multiple security subject areas, including a strong background in forensics or threat intelligence. Deep exposure in Incident Response or Detection Engineering. Desire to furt

pythonawsazure
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O
OpenAI
📍 San Francisco• Full-time• $230K – $385K/yr
Just now

About the Team Codex is OpenAI’s coding agent, helping developers write, review, and debug software. The broader Codex group combines research, engineering, design, and product to advance what AI agents can do. Codex Enterprise builds the agents and product capabilities that help organizations use Codex in their software development workflows. Unlike individual consumers, people at organizations work in teams, and our scope includes a product experience that works for those teams, building extensibility and discovery primitives, supporting enterprise administration and governance, and the capabilities that help us deploy Codex to organizations at scale. We help turn new agent capabilities into useful products that organizations can trust. About the Role We’re looking for a backend or backend-leaning full-stack engineer who pairs technical depth with strong product taste. You’ll build new products and major capabilities, help determine what shape they should take, and own the work from an ambiguous starting point through launch. Working closely with product managers and Forward Deployed Engineers, you’ll turn emerging needs and deployment insights into scalable product capabilities. The emphasis is on deeply technical product building, independent problem-solving, and thoughtful decisions about both user experience and system design. In this role, you will: Shape new Codex Enterprise products and features, applying product judgment to decide what to build and how it should work. Own projects from exploration through architecture, implementation, launch, and production operations, using feedback to guide ongoing iteration. Build ecosystem capabilities such as plugins, skills, hooks, and discovery experiences, alongside services for enterprise administration, governance, and usage visibility. Design reliable, secure, observable backend systems that support Codex experiences across web, IDEs, CLI, and CI/CD. Partner with product managers and Forward Deployed Engineers t

artificial intelligenceai
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