Senior Solution Engineer Energy Jobs

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Quality Engineering team helps Airbnb build high-quality software efficiently. We enable Airbnb engineers to build highly testable systems by building and using tools leveraging AI. We own and continuously improve product test cases, automation coverage, test automation tools, environments, and frameworks. We navigate Airbnb’s massive codebase, identifying weak spots, and help design and implement testable fault-tolerant systems. The Difference You Will Make: Be a leader in Airbnb, leveraging AI to redefine and accelerate Quality Engineering As a Senior Automation Engineer, you will help us meet this challenge by building and maintaining automation coverage for features and releases. You will work directly with the product engineering team to develop and maintain our test tools, write and test product code, participate in design reviews to architect testable systems, and guide designs and code to enhance modularity and testability. You are eager to understand complex systems top to bottom and thrive working across technologies and codebases. In addition, you excel at working through ambiguity, concept validation, and implementing best-in-class solutions. As a global company, our mission is to develop and maintain the necessary quality engineering processes that scale to meet the needs of both our external customers and internal teams. We strive to ensure that our product and support workflows deliver a seamless experience for guests, hosts, and support agents. A Typical Day: Leverage AI and tooling to lead the implementation of a test automation strategy,

Role Description As an Infrastructure Engineer, your role will be crucial in shaping and constructing the robust systems that not only support our current flagship products but also lay the groundwork for the next wave of engineering innovations. From optimizing user experiences across various projects to ensuring seamless scalability and data integrity, you'll be at the forefront of shaping the technological backbone of our platform. Collaborating closely with cross-functional teams, you'll leverage your expertise to tackle audacious challenges and push the boundaries of what's possible. Your contributions will directly impact millions of users, as every line of code you write furthers our mission to revolutionize the way people work and collaborate. Join us in redefining the future, where your passion for building scalable, reliable systems will drive meaningful change on a global scale. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Build infrastructure capable of managing metadata for hundreds of billions of files, handling hundreds of petabytes of user data, and facilitating millions of concurrent connections. Lead the expansion of Dropbox's function as the data-fabric, connecting hundreds of millions of applications, devices, and services globally, while also driving initiatives to enhance interoperability and adaptability across diverse ecosystems. M easur e and optimiz e Dropbox's analytics platform to maintain its status as one of the most advanced in the industry for extracting meaningful insights from vast data volumes. Collaborat e with cross-functional teams to innovate and implement solutions that enhance the performance, reliability, and security of Dropbox's infrastructure, ensuring a seamless experience for users worldwide. Proactively identify new opportunities and drive imp

About the Team Join the engineering teams that bring OpenAI’s ideas safely to the world! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We’re seeking Software Engineers who can solve complex, high-impact problems across our stack. In this role, you’ll join a nimble team driving the deployment of OpenAI’s technology into new environments and infrastructure that power critical missions in the public sector. You’ll work cross-functionally with product, security, and compliance teams to build the functionality needed to deliver a scalable, reliable platform. You’ll also partner directly with customers to design and build new products and features that create real-world impact. From launching net-new capabilities to optimizing how we serve inference in unique, high-stakes environments, this role offers both breadth and technical depth—giving you the opportunity to shape the future of OpenAI’s technology where it matters most. This role is based in Washington D.C., San Francisco, CA or Seattle, WA. Occasional travel to customer sites is required for this role. In this role, you will: Own the development of new customer-facing ChatGPT and OpenAI API features end-to-end, both on-premises and in the cloud, for our public sector customers. Partner and directly embed with teams across the business, including engineering, security, and compliance, to enable our products to work within the unique constraints of new environments. Talk to users to understand their problems and design solutions to address them Work with the research team to get relevant feedback and iterate on their latest models, developing solutions specific for public sector customers at both the model & data

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. About the Team : The Identity and Access Management team is responsible for building a secure, reliable, and seamless identity platform for all Postman users. This team owns the systems behind authentication, session management, access control, service accounts, invites, and other foundational identity capabilities that power the product. Postman’s identity layer is a critical part of the product experience. It sits on the path of every authenticated request and enables users, teams, and systems to access Postman securely and collaborate effectively. The team works on a mix of core platform improvements, new product capabilities, and reliability/security investments. What You’ll Do: Design, build, and evolve backend systems that power Postman’s identity and authentication platform. Own projects end to end: clarify requirements, drive technical design, implement solutions, manage rollout, and support production. Work closely with Product, Design, and Engineering teams to scope, build, test, and launch new features and platform improvements. Improve system reliability, scalability, observability, and operational readiness for service

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity The Forward Deployed Engineering (FDE) team tackles some of Postman's most strategic technical challenges. We partner directly with enterprise customers to solve problems that don't fit neatly into existing product boundaries, building production-grade solutions that often become core product capabilities. As a Sr. Forward Deployed Engineer, you'll operate at the intersection of engineering, product, and customer success. You'll deploy Postman's critical infrastructure into customer environments, solve complex distributed systems challenges, and build the enterprise foundations that enable customers to safely adopt AI at scale. This isn't consulting or professional services. You're an engineer building production systems alongside customers, turning real-world deployments into durable platform capabilities used by thousands of organizations. This team will build 0-to-1 products from scratch - innovative, strategic initiatives designed to unlock hundreds of millions of dollars in new revenue. If you enjoy difficult engineering problems, working directly with customers, and building products from the field

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Sr. Data Cloud Engineer(s)(multiple positions) – Duties are using relational database systems, CI/CD pipeline, Kubernetes for application deployments, terraform IAC, Observability using Splunk, server-side GitHub REST API, & Snowflake, Spark, & Python to design, automate, implement & maintain data architecture patterns in AWS & GCP for data collection infrastructure & pipelines for multi-region cloud-based big data IaaS & PaaS solutions including performing requirements & document use technology analysis; coordinating data integration & ETL processes; supporting data security, integrity & cost controls; automating data processes utilizing Cloud Composer & develop SQL scripts for data modeling; performing end-to-end pipeline load performance testing; supporting technology upgrades through PostgreSQL & Cloud SQL cloud migrations; performing SQL & NoSQL database tuning & maintenance; providing guidance on data management & SQL optimization; & developing data warehousing management policies. Requires Bach degree in Comp Science, Comp Engineering, Information Technology (IT) or related field & 5 yrs exp in job duties as stated. Position is with Dun & Bradstreet in Jacksonville, FL. Inquire and send resume through Dun & Bradstreet’s job board at https://jobs.lever.co/dnb. Position is under Sr. Data Cloud Engineer for Jacksonville, FL. #LI-DNI

Forward Deployed Senior Software Engineer (Migration Tooling – RunMyJobs) OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leader in full-stack automation fabric solutions for mission-critical business processes. Our flagship SaaS platform, RunMyJobs (RMJ) , is the first composable automation platform specifically built for ERP environments. We enable organizations to orchestrate, manage, and monitor workflows across applications, services, and infrastructure — in the cloud or on premises. Our global team of automation experts, engineers, and customer success professionals work together to deliver seamless automation transformations. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT We are seeking a Forward Deployed Software Engineer focused on migration tooling and customer onboarding to RunMyJobs (RMJ) . This role is part of an exciting new Forward Deployed Engineering team within the Global Professional Services team, at the intersection of Product Engineering and Go To Market teams. In this role, you will operate at the intersection of engineering and delivery. Your primary focus will be designing, building, and enhancing migration frameworks, tooling, and automation accelerators that enable customers to smoothly transition from legacy schedulers and automation platforms into RMJ. You will work closely with: Migration Architects to design scalable and reusable migration patterns Professional Services to enable efficient customer onboarding Engineering & Product to improve platform capabilities based on field learnings Customers (occasionally) to validate requirements, troubleshoot edge cases, and ensure successful implementations This is a forward-deployed engineering role — highly technical, impact-driv

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . As a Software Dev Senior Engineer , you will own the reliability, scalability, and operational excellence of our Cloud-based services. You will define and enforce reliability standards, drive the adoption of SRE practices across engineering teams, and build the systems and tooling that keep our production infrastructure healthy. We follow a DevOps model: Development and Operations teams are integrated, and the SRE function acts as the reliability layer — setting Service Level Objectives, managing error budgets, and continuously reducing toil through engineering. Key Responsibilities: Define, publish, and continuously refine Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs ) for all critical services, partnering with product and engineering leadership. Own the error budget framework: track consumption, enforce error budget policies, and drive reliability investments when budgets are at risk. Lead the design and implementation of comprehensive observability platforms — metrics, structured logging, and distributed tracing — to ensure full visibility into pro

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Position Summary The Senior Software Engineer will manage, support, and customize SonicWall's Oracle Agile PLM platform and support its modernization toward Oracle Fusion Cloud PLM. Beyond core PLM, this role owns EDI and system-to-system integrations between Oracle and other enterprise systems — ERP, CRM, the data platform, and external/partner systems — and contributes to SonicWall's agentic AI initiatives by building AI-assisted automations within the PLM and integration landscape. This is a hands-on, full-stack engineering role with a high degree of autonomy, operating within our established delivery, change, and security processes. The ideal candidate can operate and extend the PLM platform, deliver robust Oracle-to-external integrations, and apply modern AI tooling to reduce manual effort and accelerate product and transactional data flows across the enterprise. Key Responsibilities PLM platform: Manage, support, and customize Oracle Agile PLM (Product Collaboration, PQM, PG&C), and support the roadmap toward Oracle Fusion Cloud PLM. Deliver product changes: Interface with users to de

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . About the Role SonicWall is a global leader in cybersecurity, offering firewalls, secure access solutions, and threat intelligence that protect millions of networks for enterprises, governments, and service providers worldwide. SonicWall’s portfolio includes next-generation firewalls (NGFW), centralized management, wireless network management, secure mobile access, cloud security, and endpoint security. All these solutions are coordinated and managed through SonicWall's Unified Management (UM) architecture. We invite you to join our team in developing innovative network security management solutions for SonicWall's Network Security Manager (NSM), a centralized management and analytics platform within the SonicWall Unified Management (UM) ecosystem. In this role, you will help build secure and scalable software capabilities that integrate with SonicWall's Unified Management (UM) platform and Shared Services Platform (SSP) to meet the unique operational needs of enterprise customers, Managed Service Providers (MSPs), and Managed Security Service Providers (MSSPs) around the globe. You will design and build c

NVIDIA is well positioned as the 'AI Computing Company', our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We are looking for a Senior Software QA Test Development Engineer to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage 10s of 1000s of resources in a simple and controlled fashion, allowing engineers to focus on engineering and automation, rather than being burdened by manual operational tasks. SWQA test developer engineers at NVIDIA are responsible for creating test plans, execution, and reporting, as well as developing scripts for test automation, designing and developing tools for the QA team, and developing integration tests for validation. As a test developer, you must identify weak spots and constantly design better and more creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. The ideal candidate must have strong programming skills and hands-on experience using AI development tools to improve quality and productivity across the end-to-end QA workflow. This includes leveraging AI assistants for test automation, code generation, debugging, and enhancing testing efficiency. During the interview process, we will assess your ability to effectively use AI development tools and evaluate your programming capabilities to ensure you can deliver high-quality solutions. What you’ll be doing: Architect, implement, and evolve scalable agentic end to end SWQA workflow, automated test frameworks, infrastructure, and tooling for complex software products. Define test strategy and quality gates across functional, integration, regression, reliability, and release-validation workflows. Build and maintain high-value automated coverage for Linux-based, co

We are looking for a talented Senior System Software Engineer to help build NVIDIA Halos, our full-stack safety critical platform for physical AI: autonomous vehicles, humanoids, industrial robots, and intelligent machines that sense, decide, and act in the real world. This role is equally grounded in ISO 26262 functional safety engineering and embedded systems, rich operating systems, virtualization, accelerated computing. If you have a good understanding of System Software development on Real Time OS (RTOS), ARM architecture, Virtualization, and experience with ISO 26262 safety lifecycle, we want to hear from you! We are a leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing, and autonomous vehicle and robotics safety platforms. NVIDIA gives automakers, tier-1 suppliers, automotive research institutions, and startups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for autonomous vehicles. Our unified computing architecture makes it possible to train deep neural networks in the data center on the NVIDIA DGX™, and then seamlessly run them on NVIDIA's Halos platform inside the vehicle. Leading vehicle manufacturers, tier 1 suppliers, mapping and simulation companies, software and sensor providers, and startups around the world are developing on the NVIDIA Halos® platform to deliver the best solutions for the new world of mobility. As a System Software Engineer, you will get an opportunity to work on high-performance NVIDIA edge AI platforms running complex mixed-criticality software stacks across QNX, Linux, hypervisors, safety partitions, accelerators, and real-time AI workloads, and work alongside industry experts in diverse teams and projects. <

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips. What you'll be doing: As a senior member in our team, you will work with pre-silicon and post-silicon data analytics - visualization, insights and modeling. Design and uphold sturdy data pipelines and ETL processes for the ingestion and processing of DFX Engineering data from various origins Lead engineering efforts by collaborating with cross-functional teams (execution, analytics, data science, product) to define data requirements and ensure data quality and consistency You will work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods. In addition, you will help develop and deploy DFT methodologies for our next generation products using Gen AI solutions. You will also help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: BSEE (or equivalent experience) with 5&#43;, MSEE with 3&#43;, or PhD wi

We are seeking a highly skilled and experienced Staff Network Site Reliability Engineer (SRE) to join our Enterprise Network Operations and SRE team. In this role, you will be pivotal in implementing our vision for a reliable and efficient network infrastructure. The ideal candidate is passionate about network operations and committed to enhancing the user experience. You'll have the opportunity to solve complex network challenges using hands-on debugging and by focusing on network automation, observability, documentation, and operational excellence. This is a critical position focused on ensuring user satisfaction and brilliance in network operations. What you'll be doing: Owning the operational aspect of the network infrastructure, ensuring its high availability and reliability, actively working on network incidents and service requests. Partnering with architecture and deployment teams to guarantee that new implementations are supportable and align with production standards. Advocating for and implementing automation to reduce toil and improve operational efficiency. Minimizing manual operational tasks to achieve and maintain Service Level Objectives (SLOs). Monitoring network performance, identifying areas for improvement, and collaborating with relevant teams to implement refinements. Proactively identifying and mitigating network risks to promote continuous improvement. Collaborating with domain experts across functions to resolve production issues swiftly and effectively, ensuring customer happiness. Conducting blameless postmortems and following through on Root Cause Analyses (RCAs). Discovering opportunities for operational improvements and teaming up with colleagues to devise solutions that enhance excellence and sustainability in network operations. Developing knowledge base articles for automa

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will be working with the team that created communication libraries like NCCL, NVSHMEM & technology like GPUDirect -- for scaling Deep Learning and HPC applications. Your customers will have diverse multi-GPU demands, ranging from training on scales up to 100K GPUs to inference down at microsecond latency. Communication performance between the GPUs has a direct impact on AI applications. Your work in AI toolkits will make all of those easier for the community. This is an outstanding opportunity for someone with an AI background to advance the state of the art in this space. Are you ready to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Integrate new communication libraries features in AI frameworks: from PoC to performance analysis to production Perform deep analysis of AI workloads and frameworks to identify multi-GPU communication requirements and opportunities. Collaborate hands-on with teams working on the latest AI models. Improve AI compilers to hide communications or perform automatic fusion. Conduct in-depth AI workload performance characterization on multi-GPU clusters. Design fault-tolerant and elastic solutions for large-scale or dynamic AI workloads. Author