Member, technical staff jobs in New York

Who We Are At City Storage Systems (CSS), we are dedicated to building Infrastructure for Better Food. Our mission is to empower restaurateurs worldwide to thrive in the online food delivery market. By making food more affordable, of higher quality, and convenient, we're transforming the industry for everyone, from budding entrepreneurs opening their first restaurant to global quick-service chains. What You'll Do As a backend-focused Software Engineer at CSS, you'll play a crucial role in our data-driven development team, helping to advance our state-of-the-art menu platform. Your responsibilities will include: Data-Driven Development: Contribute to our data-centric development efforts. Project Planning: Participate in strategic planning for various internal tools. Agile Methodologies: Implement and test software using agile methodologies. Collaborative Teamwork: Work closely with a team to enhance and support our technology. Code Contribution: Write, debug, maintain, and test code across multiple projects. Architectural Design: Design scalable systems with a focus on robust architecture. Continuous Improvement: Engage in continuous improvement initiatives. Innovation: Drive innovation within the team and support technological advancements at CSS. What the Team Focuses On Our menu platform (check our tech blog) offers comprehensive menu management features designed to streamline restaurant operations, enhance customer experiences, and optimize performance. It serves as a single source of truth for menus, seamlessly integrating with online channels such as DoorDash, UberEats, and Grubhub and offline point-of-sale (POS) systems like Square, Toast, and NCR. Key capabilities include updating menus with new items, pricing, and taxes, performing A/B testing on different structures, setting availability by channel, creating combos and promotions, managing ingredients and SKUs, and configuring operational hours. Additionally, our platform features automated linking to ensure POS and online menus are always synchronized, minimizing discrepancies. Boasting a 99.9% availability rate, our platform supports a vast network of brands in the US and worldwide, ensuring uninterrupted service. Over 100,000 restaurateurs use our platform daily to streamline their operations and consistently express high satisfaction. What We're Looking For Education: Bachelor's Degree in Computer Science or equivalent. Experience: 7-10 years of experience in a relevant role. Individual Contribution: Proven track record of significant contributions in previous roles, demonstrating your impact. Architectural Skills: Ability to design and create robust architecture from scratch and evolve existing systems. Communication Skills: Strong communication and presentation skills, with the ability to collaborate with non-engineering stakeholders. Technical Expertise: Experience designing and implementing scalable, reliable, and efficient distributed systems. Familiarity with Java / Go / Kotlin is required. Concurrency: Experience building systems that can execute multiple tasks while managing overlapping run-time and space complexities simultaneously. Application Maintenance: Experience in maintaining and extending large-scale, high-traffic applications. Why Join Us Growing Market: You'll be part of an $80 billion market projected to reach at least $500 billion by 2030 in the US alone. Industry Impact: Join a team that is transforming the restaurant industry and helping restaurants succeed in online food delivery. Collaborative Environment: Benefit from the support and guidance of experienced colleagues and managers, who will help you learn, grow, and achieve your goals. Work closely with other teams to ensure our customers' success. Additional Information This role is based in our Mountain View office. We look forward to sharing more about a meaningful career at CSS!

Software Engineer Infrastructure and Security (AI Platform) We are partnered with a fast moving AI company that recently closed an eight figure seed round and is now building the core technical foundation that will support their next phase of growth. The founders are experienced second time operators moving with serious velocity and they have brought us in to help make a mission critical early hire. This is a rare opportunity to join at the ground level and take full ownership of the infrastructure, security posture, and enterprise readiness of a product already gaining strong traction with financial and enterprise customers. What You Will Do Design build and maintain scalable secure and resilient cloud infrastructure for a high performance AI platform. Define and implement cloud security standards authentication guardrails and enterprise grade controls such as SSO RBAC and audit logging. Lead the companies readiness for SOC2 and ISO compliance and partner closely with the founders to navigate enterprise requirements. Own the technical architecture for any infrastructure or security blockers encountered with large customers. Build robust observability systems including metrics logging and tracing to support reliability at scale. Design and ship production systems end to end from concept to architecture to deployment. Collaborate with AI engineering and product teams to ensure infrastructure supports rapid iteration growth and enterprise expansion. What We Are Looking For Four or more years of hands on experience across backend engineering infrastructure or security engineering. Strong cloud security fundamentals with Azure experience especially helpful. A proven ability to architect and maintain production grade cloud systems. Experience building secure scalable services with strong engineering rigor. Comfort working directly with fast moving founders in an AI native environment. Experience preparing for or leading SOC2 or ISO compliance efforts is a major plus. Location Fully onsite in New York City. Compensation Competitive salary combined with meaningful early equity based on the level of ownership and long term impact. At CodeRed Partners we are committed to supporting equal opportunity employers and helping build diverse and inclusive teams. People are at the center of everything we do and we are proud to partner with companies shaping the future of AI through technical excellence trust and authentic collaboration.

The Trading and Risk Management System (TRMS) team is responsible for developing, supporting and maintaining our front and back office trading web applications using Python, the proprietary Beacon Dependency Graph and Glint, the Beacon UI framework. The successful candidate will help TRMS continue to grow, exercising an eye for detail across all aspects of the development lifecycle while maintaining organization and good code hygiene. This Principal Engineer should be able to effectively communicate both with internal teams and with clients. The successful candidate values teamwork and collaboration and is willing to mentor junior developers. In this senior role, the candidate will have responsibility for defining the company's technological vision, making strategic decisions, driving innovation, and setting new industry standards. Across all levels, a successful software development engineer will demonstrate strong problem-solving skills, clear communication, excellent coding abilities, a keen understanding of the software ecosystem, and a cooperative team player attitude. Responsibilities: Advocate for Clearwater's technical vision, strategy, and established standards for software systems. Collaborate with our clients (asset managers, hedge funds, insurance companies, investment banks and commodities trading companies) to adapt and customize our cloud-hosted Trading Risk Management platform. Measure and share the results of software teams and help them create improvement. Identify and remove systemic blockers to success. Establish best practices and processes that improve execution and collaboration on any team. Create alignment between multiple divisions and teams towards common standards and best practices. Participate in code reviews and provide feedback to the team. Influence the prioritization of the overall Clearwater roadmap. Influence and lead high-priority and complex projects and initiatives. Model and encourage a culture of communication and collaboration in their team, division, and department. Deemed a mentor of mentors and capable of mentoring engineers at all levels. Required Skills: Exceptional leadership and mentorship skills, including having led an engineering team (either as a tech lead or manager). Enthusiasm for software work in a software-as-a-service company. Driven by client satisfaction, possessing Empathy for clients and desire to solve customer problems Strong teamwork skills. Ability to manage own time and deliver expected results on time. Commitment to continuous learning and improvement. Exceptional analytical skills. Strong computer skills, including proficiency in Microsoft Office. Excellent attention to detail and strong documentation skills. Outstanding verbal and written communication skills. Strong organizational and interpersonal skills. Exceptional problem-solving abilities. Education and Experience: Bachelor's degree in computer science/related field or comparable experience. 12+ years of enterprise software development experience with strong experience in Python or other OOP languages Must have domain industry experience and deep knowledge of trading and risk management systems Professional experience with running software systems on a public-cloud provider. About Clearwater Analytics: Clearwater Analytics (NYSE: CWAN) is transforming investment management with the industry's most comprehensive cloud-native platform for institutional investors across global public and private markets. While legacy systems create risk, inefficiency, and data fragmentation, Clearwater's single-instance, multi-tenant architecture delivers real-time data and AI-driven insights throughout the investment lifecycle. The platform eliminates information silos by integrating portfolio management, trading, investment accounting, reconciliation, regulatory reporting, performance, compliance, and risk analytics in one unified system. Serving leading insurers, asset managers, hedge funds, banks, corporations, and governments, Clearwater supports over $8.8 trillion in assets globally. Learn more at ****************************

Job Description Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role: Captions is seeking a Machine Learning Engineer to partner closely with our Researchers and bring large-scale multimodal video diffusion models into production. You'll be responsible for optimizing and deploying state-of-the-art generative models (tens to hundreds of billions of parameters) to deliver low-latency, high-throughput inference at scale. This is a unique opportunity to work on cutting-edge AI-spanning audio-video generation, diffusion architectures, and temporal modeling-and ensure these innovations reach millions of creators worldwide. Responsibilities: Inference & Deployment Develop high-performance GPU-based inference pipelines for large multimodal diffusion models. Build, optimize, and maintain serving infrastructure to deliver low-latency predictions at large scale. Collaborate with DevOps teams to containerize models, manage autoscaling, and ensure uptime SLAs. Model Optimization & Fine-Tuning Leverage techniques like quantization, pruning, and distillation to reduce latency and memory footprint without compromising quality. Implement continuous fine-tuning workflows to adapt models based on real-world data and feedback. Production MLOps Design and maintain automated CI/CD pipelines for model deployment, versioning, and rollback. Implement robust monitoring (latency, throughput, concept drift) and alerting for critical production systems. Performance & Scaling Explore cutting-edge GPU acceleration frameworks (e.g., TensorRT, Triton, TorchServe) to continuously improve throughput and reduce costs. Requirements: Technical Expertise Proven experience deploying deep learning models on GPU-based infrastructure (NVIDIA GPUs, CUDA, TensorRT, etc.). Strong knowledge of containerization (Docker, Kubernetes) and microservice architectures for ML model serving. Proficiency with Python and at least one deep learning framework (PyTorch, TensorFlow). Model Optimization Familiarity with compression techniques (quantization, pruning, distillation) for large-scale models. Experience profiling and optimizing model inference (batching, concurrency, hardware utilization). Infrastructure Hands-on experience with ML pipeline orchestration (Airflow, Kubeflow, Argo) and automated CI/CD for ML. Strong grasp of logging, monitoring, and alerting tools (Prometheus, Grafana, etc.) in distributed systems. Domain Experience Exposure to diffusion models, multimodal video generation, or large-scale generative architectures. Experience with distributed training frameworks (FSDP, DeepSpeed, Megatron-LM) or HPC environments. Benefits: Comprehensive medical, dental, and vision plans 401K with employer match Commuter Benefits Catered lunch multiple days per week Dinner stipend every night if you're working late and want a bite! Grubhub subscription Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) Multiple team offsites per year with team events every month Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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. Please note benefits apply to full time employees only. Compensation Range: $200K - $300K

Job Description Stuut is transforming accounts receivable for B2B companies-making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We're hiring a Member of Technical Staff - Fullstack to design, build, and scale end-to-end systems that power Stuut's platform for B2B financial operations. You'll work closely with Product, Design, Backend, and Frontend teams, as well as customers to deliver seamless, high-performance experiences across the entire stack. This is a high-impact role for someone who can own projects from inception through scaling, think across systems, and deliver reliable, user-centered solutions. You'll play a critical role in shaping Stuut's engineering culture and product experience, ensuring our full stack systems are both elegant and scalable as we grow. What You'll Do Drive Stuut's full stack technical vision through cross-functional collaboration across product, design, and engineering. Lead complex projects spanning frontend, backend, and system integrations, from API design to polished user experiences. Build end-to-end features - from database schema to production-ready UI - ensuring seamless data flow, scalability, and performance. Design and implement robust backend services, APIs, and microservices while crafting intuitive, responsive frontend experiences. Continuously improve engineering processes, tools, and systems to scale productivity, reliability, and velocity across the stack. Recruit, mentor, and develop top engineering talent, fostering a culture of excellence, humility, and speed. Engage directly with customers to understand and solve complex workflow challenges through comprehensive full stack solutions. You Might Be a Fit If You… Have 5+ years of full stack engineering experience with a track record of delivering products at scale. Are highly skilled in Python and TypeScript, with experience building both robust backend services and modern frontend applications. Have strong expertise in database design, API development, and system architecture. Are proficient in modern frameworks like Vue.js, React, or Angular (frontend) and Django, FastAPI, Flask, or Node.js (backend). Have hands-on experience with cloud platforms (AWS, GCP, Azure), containerization, and CI/CD pipelines. Thrive in early-stage startup environments, eager to build systems and processes from scratch. Enjoy engaging directly with customers to shape technical solutions around real-world needs. Have experience mentoring engineers and shaping high-performing engineering cultures. Are committed to continuous learning and mastering your craft across the stack, with a focus on solving customer pain points through practical, scalable solutions. Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) Medical, dental & vision insurance coverage for you 401(k) & Match Equity Flexible PTO Parental Leave Compensation Range: $185K - $250K

At Fluidstack, we're building the infrastructure for abundant intelligence. We partner with top AI labs, governments, and enterprises - including Mistral, Poolside, Black Forest Labs, Meta, and more - to unlock compute at the speed of light. We're working with urgency to make AGI a reality. As such, our team is highly motivated and committed to delivering world-class infrastructure. We treat our customers' outcomes as our own, taking pride in the systems we build and the trust we earn. If you're motivated by purpose, obsessed with excellence, and ready to work very hard to accelerate the future of intelligence, join us in building what's next. About the Role Fluidstack, a leading cloud provider, is looking for a Member of Technical Staff, DCIM to build and refine internal tooling that streamlines how we buy, track, deploy, and operate data-center hardware. You will develop asset-management, inventory, visualization, and operational-insight tools for engineering, operations, and support teams. Working cross-functionally, you'll deliver scalable, reliable, user-friendly solutions while mentoring peers and shaping our technical direction. Focus DCIM tooling & efficiency - Create purpose-built software for asset and inventory management, digital twins, deployment automation, and operational dashboards; partner with the data team to surface actionable insights. Support critical infrastructure - Work with engineering to define and ship software that accelerates the build-out and scaling of Fluidstack data centers. Foster technical excellence - Mentor engineers and uphold high standards in architecture, design, and code reviews. Build vs. buy decisions - Collaborate with product to weigh in-house development against third-party options for scalability, cost, and efficiency. Cross-functional collaboration - Align with support, operations, and product teams to ensure tools meet growth and operational needs. Scalability & reliability - Design fault-tolerant systems that stay resilient as our footprint grows. Promote best practices - Champion modern development workflows, CI/CD, and infrastructure-as-code to boost speed and quality. End-to-end ownership - Lead projects from concept through deployment, delivering measurable impact. About You 5+ years coding in Go, Rust, Java, C++, or similar, with deep knowledge of distributed-system design patterns and scalability. Experience with NetBox for managing our multi-datacenter network infrastructure Hands-on with Docker, Kubernetes, Ansible, Terraform, and modern CI/CD pipelines (GitLab, GitHub Actions, CircleCI). Solid grasp of data structures, algorithms, and concurrency/multithreading. Comfortable with TCP/IP, network programming, and Unix/Linux environments. Balance trade-offs to deliver scalable, reliable, and efficient infrastructure. Build strong cross-team relationships and drive shared success. Bachelor's in Computer Science (or equivalent) and 5-8+ years professional experience. Convey complex ideas succinctly to technical and non-technical stakeholders alike. Salary & Benefits Competitive total compensation package (salary + equity). Retirement or pension plan, in line with local norms. Health, dental, and vision insurance. Generous PTO policy, in line with local norms. The base salary range for this position is $200,000 - $250,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options. We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Why Work with Us? At Ausable Chasm, one of America's oldest natural attractions, we're committed to providing a clean, safe, and welcoming environment for both our guests and staff. As part of the Building Maintenance team, you'll play a key role in ensuring the smooth operation and upkeep of our facilities, contributing to unforgettable experiences for our visitors. Your Mission: To maintain a clean, safe, and well-functioning environment by performing essential maintenance tasks and supporting company operations, ensuring a high-quality experience for guests and staff alike. What You'll Do: Perform routine cleaning duties, including bathrooms, floors, and other janitorial tasks, ensuring all spaces meet cleanliness standards. Maintain and restock materials and cleaning supplies to support daily operations. Proactively address maintenance needs by relaying any issues related to mechanical, electrical, and plumbing systems to the Maintenance Manager. Collaborate with managers, guides, and coworkers to ensure seamless communication and operations. Conduct regular inspections of facilities and equipment to ensure safety and functionality. Uphold a professional appearance for yourself and maintain assigned areas to a high standard. Support other departments as needed to enhance the overall guest experience. Perform additional duties as assigned. What We Offer: A dynamic work environment at one of America's most breathtaking attractions. Opportunities to contribute meaningfully to guest experiences. A supportive team culture and opportunities for skill development. Apply today to help maintain the beauty and functionality of Ausable Chasm and be part of a team that values excellence, teamwork, and adventure!

Category-defining tech. Career-defining work. Lots of tech companies disrupt. But, many fail when they try to scale. We're different. CockroachDB makes it easier for companies to build and scale apps. This is how and why we're helping some of the most innovative companies on the planet. We tackle problems head-on and focus on solutions that create lasting impact. Because when our customers win, we all win. The Role CockroachDB provides the backbone of storing data on a global scale. Our core mission on the SRE team is to operate at scale a secure & reliable Cockroach Cloud product. We provide consultation, planning, architectural oversight, concrete designs, development, and implementation that improve the resilience, efficiency, performance, and availability of our Cloud Service. We also take pride in being good on-call engineers. We believe regular reflection on the experience of being on-call can contribute in the short, medium, & long term to improvements to the core product, including to CRDB itself. As a Site Reliability Engineer you'll help manage and scale our CockroachCloud service, a fully managed global offering of CockroachDB spanning multiple cloud providers. You will oversee our production system, ensuring that we can provide stable and scalable infrastructure as we deliver CockroachDB to our customers. You Will Manage the infrastructure for cloud services, including running internal production systems and hosting CockroachDB for our external customers. Design, write and deliver software and systems to increase product reliability and operational efficiency. Develop custom tools as necessary. Keep a complex system running and solve problems relating to mission-critical services. Design, implement, operate, and troubleshoot the automation and monitoring of production clusters to maximize performance and availability. Drive the company through disaster recovery tests, where we manually turn down pieces of CockroachDB to test its overall resilience to failures. Participate in an on-call rotation for our production systems and hosted services. The Expectations In your first 30 days, you will onboard and be exposed to our current internal and customer-facing production systems. Working with our existing SRE and engineering teams, you will pair on production operations and build out runbooks for the operation of different systems. We believe that it's essential for you to take this first month to become familiar with our technology and our company. After 3 months, you'll be fully integrated into the team. You will develop and own tooling for reliability, automation, and other issues related to CockroachCloud's stability and scalability. You will identify new opportunities for automating processes, streamlining delivery, deploying new core functionality, and building great tools. You will help make CockroachCloud the best platform to host CockroachDB on by bringing your expertise to our database. You Have Expertise in analyzing, monitoring, and troubleshooting large-scale distributed systems. Experience in software development using one or more of the following: Go, C, C++, Python, Java. Proficiency working with algorithms, data structures, and production troubleshooting. Expertise in working with major cloud providers (AWS, Azure, GCP, etc.) and Cloud APIs. Debugged and optimized code and to automate routine tasks. Working knowledge of web and network protocols and standards (HTTP, TLS, DNS, etc.) Prior on-call experience, exhibiting sense of ownership, attention to detail, and urgency. Experience building collaborative relationships with your colleagues. You enjoy being part of the code review process and partnering with your teammates on challenging problems. The Team We are a group of software engineers first & foremost. We use software engineering as a means to achieve our mission; this is the SRE way. The SRE team is currently distributed across North America (5) and India (4). Reporting to Tom Schmidt - Director, Production Engineering Tom recently joined Cockroach Labs as manager of Site Reliability Engineering and has taken responsibility for Cockroach Cloud's production operations. Tom joined Cockroach Labs after 15 years at IBM where he initially contributed in a wide variety of technical leadership roles, generally focussing on quality and automation across compiler development, test frameworks, CICD, and more. Over the past 7 years, Tom has become an enthusiastic advocate of the Site Reliability Engineering discipline, presenting on the topic at conferences, developing certification curriculum, and securing multiple patents. Tom was also a primary contributor towards the establishment of IBMs formal SRE profession and was recognized as one of the first three SRE Thought Leaders within the company. Most recently, Tom transitioned into a management role where he introduced Site Reliability Engineering to the IBM Business Analytics organization, building an SRE team from the ground up, eventually managing over 20 individuals across 3 unique project areas while establishing practices that now guide over 80 engineers internationally. Cockroach Labs presented a new and unique opportunity to gain experience in a high paced startup environment, laying the foundation for scalable reliability as we prepare for the rapid growth of our Cockroach Cloud offering. Beyond the business, Tom is blessed to call himself a proud father of a 4 year old boy, and otherwise enjoys finding balance between spending time in nature (hiking, camping, exploring) and testing his mettle in competitive gaming. Jordan Lewis - VP, Engineering Jordan is the Head of Engineering for Cockroach Labs. He's responsible for the teams that build, maintain and keep CockroachDB reliably serving the needs of Cockroach Labs' most demanding customer base. He joined Cockroach Labs as a database engineer in 2016 when it was just 25 people before moving into engineering leadership and most recently moving to lead the Cloud organization. Jordan lives in his hometown of Brooklyn NY with his wife. Outside of work he enjoys folk music and riding his electric scooter around town. Cockroach Labs is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. If you need additional accommodations to feel comfortable during your interview process, please email us at accessibility@cockroachlabs.com. Cockroach Labs has a hybrid work model, with Roachers that are local to one of our offices coming in on Mondays, Tuesdays, and Thursdays and working flexibly the rest of the week. While we've learned valuable lessons working remotely, nothing can replace the connection, creativity, and fun that occurs when Roachers get together and we are committed to fostering a workplace that encourages collaboration and allows us all to do our best work. Benefits Stock Options Medical Insurance Vision Insurance Dental Insurance Life and Disability Insurance Professional Development Funds Flexible Time Off Paid Holidays Paid Sick Days Paid Parental Leave Retirement Benefits Mental Wellbeing Benefits And more! The annual anticipated base salary range for U.S. candidates for this role is listed in USD below. Salary is one component of the Cockroach Labs' Total Rewards package, which also includes, for each employee: stock options, medical insurance, vision insurance, dental insurance, life and disability insurance, funds towards professional development resources, flexible paid time off, 11 paid holidays a year, 10 paid sick days a year, paid parental leave, a 401(k) plan, and wellbeing benefits. We set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. Actual salaries may vary and fall outside of this range depending on factors such as a candidate's qualifications, geographic location, skills, experience, and competencies. In addition, we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. Salaries for candidates outside the U.S. will vary based on local compensation structures. This position will remain posted until filled. Applicants should apply via our Careers Page. Annual Anticipated Base Salary Range (U.S)$154,000-$203,950 USD

About Us: Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. Companies like Suno, Lovable, and Substack rely on Modal to move from prototype to production without the burden of managing infrastructure. We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit high 8-figure ARR and recently raised a Series B at a $1.1B valuation. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno. Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. 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 are looking for strong engineers with experience in making ML systems performant at scale. If you are interested in contributing to open-source projects and Modal's container runtime to push language and diffusion models towards higher throughput and lower latency, we'd love to hear from you! Requirements: 5+ years of experience writing high-quality, high-performance code. Experience working with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT). Familiarity with Nvidia GPU architecture and CUDA. Experience with ML performance engineering (tell us a story about boosting GPU performance - debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc). Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc). Ability to work in-person, in our NYC, San Francisco or Stockholm office.

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You'll architect, build, and maintain the distributed systems, APIs, and backend infrastructure that power world-class AI research and deployment. Your work will enable rapid experimentation, robust data flows, and scalable compute. This is a hands-on role for someone who thrives in small, high-agency teams. Responsibilities Design and implement scalable backend services, data pipelines, and APIs Build infrastructure for high-throughput, low-latency AI/ML workflows Set up and manage databases (SQL/NoSQL), including schema design, replication, indexing, and performance optimization Optimize for performance, reliability, and security at every layer Implement observability best practices (logging, tracing, monitoring, performance tuning) Work closely with research and infra teams to support experimental velocity Contribute to core engineering culture, including code reviews and mentorship Requirements 3+ years building distributed systems or high-availability backends (preferably in fast-moving or high-stakes environments) Strong proficiency in Python and at least one systems language (e.g., Go, Rust, C++) Experience with cloud platforms, containerization, and orchestration (AWS/GCP/Azure, Docker, Kubernetes) Database setup, management, and optimization experience (SQL/NoSQL) Relentless focus on code quality, correctness, and performance Comfortable leveraging modern AI coding tools (Cursor, Claude Code, Codex, etc.) to increase productivity & code output while maintaining high code quality, maintainability, and structure Bonus - Agentic workflows / applied AI integration Experience supporting or integrating agentic AI workflows into backend systems (e.g., LangChain, LangGraph, Semantic Kernel, Haystack, or custom frameworks) Familiarity with persistence/checkpointing, streaming pipelines, and vector/knowledge store integrations Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you. Work on AI with a massive market opportunity Early team of repeat founders backed by top investors High agency, talent dense, zero bureaucracy

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? Our team is a fast-growing group of researchers and engineers focused on building reliable ML systems and pushing the boundaries of LLM inference efficiency. We develop techniques that improve how models execute in production, driving lower latency, higher throughput, and consistent quality across diverse workloads. As an engineer on this team, you'll work across the inference stack to improve core performance metrics by diving deep into model execution, identifying bottlenecks, and developing innovative optimizations. You'll collaborate closely with modeling and systems teams to experiment, measure, and ship improvements that meaningfully accelerate inference. As the team evolves, you'll have opportunities to build expertise in advanced performance techniques, including GPU/CUDA optimizations, kernel-level improvements, and model execution strategies for MoE and large-scale architectures. Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. You may be a good fit for the Model Efficiency team if you have: 5+ years of experience writing high-performance, production-quality code Strong programming skills in C++ or Python (Rust/Go also welcome) Experience working with large language models and familiarity with the LLM inference ecosystem (e.g., vLLM, SGLang, etc.) Ability to diagnose and resolve performance bottlenecks across the model execution stack A strong bias for action - you ship fast, measure impact, and iterate It's a big plus if you have experience with: GPU programming, CUDA, or low-level systems optimization Language modeling with transformers (MoE, speculative decoding, KV-cache optimizations) Scaling performance-critical distributed systems (e.g., computation, search, storage) If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: 🤝 An open and inclusive culture and work environment 🧑 💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement 🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ✈️ 6 weeks of vacation (30 working days!)

About Us Chakra Labs' mission is to encode human taste into intelligence. We source differentiated, proprietary data from end consumers - giving AI teams access to mission critical datasets for inference and post-training Why you should work with us You will get to touch the latest and greatest technologies across the data, AI, and infrastructure stack. You will get mentored by an experienced and qualified team. Some of our people: Nirmal Krishnan - CEO Formerly: Microsoft, Hedge Fund, Head of Engineering at Artemis. Alex Fung - CTO Formerly: Snap for 5+ years (built Snap Map, led Snap's crypto efforts), Founding Engineer at TipLink You will get paid a very competitive cash package with top benefits and a $30 daily meal stipend. We also provide a compelling equity package. Why you shouldn't work with us This is our life's work. We have fun, but we work hard. If you want to clock a 9-5, this probably isn't a great fit. There's no clear playbook for success. Data and AI are constantly shifting. Adding in a distributed component in terms of sourcing labor - we are constantly learning and shifting. While we have a clear mission and vision, if you're uncomfortable with ambiguity this role will be challenging for you. About You You are user obsessed and love the small details. Hover shadows. Gradients. Getting the perfect margins and padding in components. You don't have to know these front-end technologies, but they don't terrify you: Next.js, Typescript, Tailwind ShadCN Prisma WalletConnect You love front-end, but you're comfortable thinking about the bigger picture. Making back-end changes. Spinning up a database. Playing with AWS to ensure a secure deployment. You don't need to be a subject matter experience here, but you are not easily intimidated. Experience: we don't believe in hard and fast rules here. Roughly 3-5 years of experience is what we're looking for, but more or less experience works as long as the above expectations resonate with you.

TensorZero enables a data and learning flywheel for optimizing LLM applications: a feedback loop that turns production metrics and human feedback into smarter, faster, and cheaper models and agents. Today, we provide an open-source stack for building industrial-grade LLM applications that unifies an LLM gateway, observability, optimization, evaluation, and experimentation. You can take what you need, adopt incrementally, and complement with other tools. Over time, these components enable you to set up a principled feedback loop for your LLM application. The data you collect is tied to your KPIs, ports across model providers, and compounds into a competitive advantage for your business. Our vision is to automate much of LLM engineering. We're laying the foundation for that with open-source TensorZero. For example, with our data model and end-to-end workflow, we will be able to proactively suggest new variants (e.g. a new fine-tuned model), backtest it on historical data (e.g. using diverse techniques from reinforcement learning), enable a gradual, live A/B test, and repeat the process. With a tool like this, engineers can focus on higher-level workflows - deciding what data goes in and out of these models, how to measure success, which behaviors to incentivize and disincentivize, and so on - and leave the low-level implementation details to an automated system. This is the future we see for LLM engineering as a discipline. For more details, see: GitHub Repository Announcement: TensorZero Raises $7.3M Seed Round to Build an Open-Source Stack for Industrial-Grade LLM Applications Case Study: Automating Code Changelogs at a Large Bank with LLMs Essay: Think of LLM Applications as POMDPs - Not Agents VentureBeat: TensorZero nabs $7.3M seed to solve the messy world of enterprise LLM development Role We are looking for a Member of Technical Staff with a background in front-end engineering. The vast majority of your work will be open source. You'll have an opportunity to continue to master your current skills with the flexibility to learn new ones from scratch. As a preview, if you joined today, you'd take on our open-source UI that helps engineers manage the entire TensorZero operation - think of it like the AWS Console for TensorZero. The UI streamlines workflows for observability, optimization (e.g. fine-tuning), evaluations, and more. Team & Culture We're a small, deeply technical team based in NYC (in person). As an early contributor, you'll work closely with us and have a significant impact on the project's future and vision. Viraj Mehta (Co-Founder & CTO) is an ML researcher with deep expertise in reinforcement learning, generative modeling, and LLMs. He received a PhD from CMU with an emphasis on data-efficient RL for nuclear fusion and LLMs, and previously worked in machine learning at KKR and a fintech startup. He holds a BS in math and an MS in computer science from Stanford. Gabriel Bianconi (Co-Founder & CEO) was the chief product officer at Ondo Finance ($20B+ valuation) and previously spent years consulting on machine learning for companies ranging from early-stage tech startups to some of the largest financial firms. He holds BS and MS degrees in computer science from Stanford. Aaron Hill (MTS) is a back-end engineer with deep expertise in Rust. He became one of the maintainers of the Rust compiler… while still in college. Later, he worked on back-end infrastructure at AWS and Svix. He's also an active contributor to many notable open-source Rust projects (e.g. Ruffle). Andrew Jesson (MTS) is an ML researcher with deep expertise in Bayesian ML, causal inference, RL, and LLMs. He recently completed a postdoc at Columbia and previously received a PhD from Oxford, during which he interned at Meta. He has 3.3k+ citations and several first-author papers at NeurIPS and other top ML venues. Alan Mishler (MTS) is an ML researcher with a background in causal inference, sequential decision making, uncertainty quantification, and algorithmic fairness (1.2k+ citations). Previously, he was an AI Research Lead at JPMorgan AI Research and received a PhD in Statistics from CMU, during which he interned at Google and Box. Shuyang Li (MTS) previously was a staff software engineer at Google focused on next-generation search infrastructure, LLM-based search, and many other specialized search products (local, travel, shopping, maps, enterprise, etc.). Before that, he worked on ML/analytics products at Palantir and graduated summa cum laude from Notre Dame. _____ You? What We Offer Competitive compensation - We believe that great talent deserves great compensation (salary, equity, benefits), even at an early-stage startup. Open-source contributions - The vast majority of your work will be open-source and public. Learning and growth opportunities - You'll join with a background in front-end but will have the opportunity (& be encouraged) to expand your skill set way beyond that (curious about Rust or ML?). Small, technical, in-person team - You'll work alongside a 100% technical team and help shape our vision, culture, and engineering practices. Best-in-class investors - We're lucky to be backed by leading funds like FirstMark (backed ClickHouse), Bessemer (backed Anthropic), Bedrock (backed OpenAI), and many angels. We have years of runway and a long-term mindset. We're Looking For Strong technical background - You've tackled hard technical problems. You're comfortable driving large projects from inception to deployment (to start, TensorZero's observability dashboard). Passionate about your craft & design - You're excited about the idea of re-thinking developer tooling from first principles to build interfaces and workflows that don't just work but also delight. Background in front-end SWE - We've started building POCs using Remix and Tailwind, but ultimately we're not experts in this area (for now!). You'll complement the team with a strong background and technical leadership (esp. React). Hungry for personal growth - There are no speed limits at TensorZero. You're excited about learning and contributing across the stack. In-person in NYC - We work in-person five days a week in NYC. We work hard and obsess about the craft - but maintain and encourage a healthy lifestyle with a long-term mindset. You can find us on Github: ****************************************

Software Engineer Valthos Inc. Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity. The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature's evolving mutational landscape. We are a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT's Broad Institute and DeepMind making the latest advances in computational biology accessible in the real-world for federal and commercial use. We are seeking full stack software engineers to design and implement a platform that will allow Valthos to bring frontier methods to the end users, scientific and technical. Your day-to-day experience will range from implementing complex distributed systems, managing container-based scalable infrastructure, building REST APIs, integrating open source solutions, understanding the needs of our users and adapting our software to suit. You'll collaborate closely with technical and non-technical counterparts to understand our developers' and customers' problems and build software and infrastructure to tackle them. The Role Work with the AI Engineers and Computational Biologists to design and build high-scale, opinionated APIs that are data/GPU intensive Prototype and develop interactive workflow UIs for life-science users Iterate on and create data visualization tools that provide users with model results and context to understand them Work with users to develop SDK for technical users Develop and maintain a secure cloud environment for Valthos data and results. Build distributed systems that efficiently/predictably process large-scale user data using both CPUs and GPUs Build and maintain the backend infrastructure required for scaling out storage and compute Design and build Valthos storage and search systems. Expect rapidly increasing scale and latency requirements. Develop and maintain the systems and services that underpin the productivity of our development teams. Everything from our internal dev environments to managing automated deployments to our production infrastructure. Qualifications (required) Experience implementing or working on distributed systems and their associated technologies (Kubernetes, Docker, etc) Working knowledge of the full application stack (Web UX frameworks, API design and development, data modeling, RDBs, etc). Preference for working in a fast-paced, autonomous environment Qualifications (preferred) Experience working with AWS or other IaaS providers. Experience working with large scale data and it's associated technologies (parquet, pandas, etc) Experience building data pipelines and asynchronous data processing Experience working with biological data (sequences) and bioinformatics tools Contributions to open-source projects If there is a fit, we'll schedule two technical interviews. The final step is an onsite in our office, where you'll work on a small project, discuss ideas, and work with the wider team.

About Basis Basis equips accountants with a team of AI agents to take on real workflows. We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment. Built in New York City. Read more about Basis here. About the Team The Agent Data team ensures Basis agents have accurate data at low latency to do their jobs. About the Role As an Agent Data engineer at Basis you'll own projects completely from scoping to delivery. You'll be the Responsible Party (RP) for the systems you design. That means you decide how to build them, how to measure success, and when they're ready to ship. We trust you to manage yourself. You'll plan your own projects, work closely with your pod, and take full responsibility for execution and quality. You'll build systems that serve every part of Basis: AI, product, and internal agents. And you'll make those systems fast, reliable, and easy to understand. What you'll be doing: Build and standardize our data platform Design data pipelines that ingest, validate, and transform accounting data into clean, reliable datasets. Define schemas and data contracts that balance flexibility with correctness. Build validation, lineage tracking, and drift detection into every pipeline. Create interfaces that make data discoverable, computable, and observable throughout the system. Model the domain as a system Translate accounting concepts into well-structured ontologies: entities, relationships, and rules. Create abstractions that help AI systems reason safely about real-world constraints. Design for clarity: make complex workflows understandable through schema, code, and documentation. Lead through clarity and technical excellence Own the architectural vision for your area and keep it consistent over time. Run effective design reviews that challenge assumptions and drive alignment. Mentor engineers on how to think about systems: from load testing to schema design to observability patterns. Simplify aggressively-removing accidental complexity and enforcing clean, stable abstractions. 📍 Location: NYC, Flatiron office. In-person team.

Anterior is on a mission to transform healthcare administration, making it seamless and invisible so clinicians can focus on delivering care. We've built an AI-powered platform designed by clinicians, for clinicians, to simplify administrative workflows and improve patient outcomes. By combining clinical expertise with cutting-edge technology, we're revolutionizing healthcare operations with responsible AI. We're growing rapidly and are backed by world-class investors including Sequoia, New Enterprise Associates (NEA), and Neo along with notable angels including the founders of DeepMind, Google AI, and Inflection AI. You can learn more about us here. Anterior is improving the experience of healthcare for everyone. We're working on the cutting edge of using technology to make clinical decisioning frictionless. We're building exciting tech for huge customers and we trust in the foundations: keep it simple, build strong foundations and the rest will follow. The Team: At Anterior, engineers share a strong "sense of product" and solve meaningful problems that simplify healthcare workflows. We collaborate in multidisciplinary teams to deliver secure, scalable, and user-focused solutions guided by best practices and modular design. We value diverse experiences and skill sets, continually expanding our team to tackle modern healthcare's challenges with creativity and precision. About You You have a passion for doing things The Right Way, you believe Less is More, you want to focus on foundations of system design and architecture (pacelc, consistency guarantees), you care as much about the code you do not write, you're tired of the hype treadmill and care about the fundamentals. You have battle scars from overengineered and underperforming slop, and you care about writing code that lasts. We're hiring from infra to frontend, there is room all the way up and down the stack. Come share your proudest firefighting story with us in an interview, bring your GitHub, and let's see if we're a good fit. If you're a junior passionate about coding and hacking: it's always ok to apply, shoot us a link to some of your work and let's talk anyway Tech Langs: Python / Go / TS, React (and HTMX if you can help!) Infra: Nix, CDKTF, AWS What's in it for you This is an opportunity to join the formative stages of a company that is working with cutting-edge technology to have a meaningful impact in healthcare. We're at an exciting inflection point, and you will be working with a world-class team, will hold significant responsibility, and will be given the opportunity to learn and grow rapidly. We take pride in our strong apprenticeship and coaching culture. We expect our early hires to become leaders both within our company and across the industry. You'll be given a lot of responsibility and and the opportunity for rapid growth. Benefits: Early-Stage Equity Competitive, top-of-market salary 100% covered health, dental, and vision insurance Catered lunches and a stocked kitchen Commuter benefits Company Laptop along w/ tools you need to succeed Learning & development budget Team-building events Flexible PTO

We're assisting a well-funded startup with their search for a Member of Technical Staff - Frontend or Design Engineering. Their product is an open-source platform that creates a feedback loop for optimizing LLM applications - turning production data into smarter, faster, and cheaper models. This role will work onsite in their NY office. The role: The vast majority of your work will be open source. You'll have an opportunity to continue to master your current skills with the flexibility to learn new ones from scratch. If you joined today, you'd take on the open-source UI that helps engineers manage the entire platform operation - think of it like the AWS Console for the platform. The UI streamlines workflows for observability, optimizing (e.g. fine-tuning), evaluations, and more. What you'll bring: Strong technical background - You've tackled hard technical problems. You're comfortable driving large projects from inception to deployment (to start, the observability dashboard). Passionate about your craft & design - You're excited about the idea of re-thinking developer tooling from first principles to build interfaces and workflows that don't just work but also delight. Background in front-end SWE - They've started building POCs using Remix and Tailwind, but ultimately they're not experts in this area (for now!). You'll complement the team with a strong background and technical leadership (esp. React). Hungry for personal growth - There are no speed limits. You're excited about learning and contributing across the stack. In-person in NYC - They work in-person five days a week in NYC. They work hard and obsess about the craft - but maintain and encourage a healthy lifestyle with a long-term mindset.

Job Description The Retail Staff Member will work closely with our Taproom Manager, Assistant Managers and the rest of our exceptional team to help make the Tree House experience the best experience the industry has to offer. This opportunity promises an invigorating and exciting environment where good work is done so we always look for flexibility and a sense of humor in addition to other valuable traits like intent, hard work, and good communication skills. Our newly built facility sits in the heart of Saratoga Springs' most popular destinations: Saratoga Performing Arts Center, Saratoga Spa State Park and Saratoga Race Course. This beautiful Adirondack inspired property boasts an expansive indoor and outdoor experience to bring our world-renowned products to the people of New York! This position is part-time, with strong preference given to candidates who have availability 3-4 days per week, nights/weekends primarily. As a Retail Staff Member, you will be responsible for the following: Providing a welcoming, educated experience for all guests, delivering exceptional customer service throughout all interactions, and representing the Tree House brand to the general public with enthusiasm and a helpful attitude Educating our customers on the history of Tree House, our philosophy, and our beer Can packing, can sales, and checkout operation Speedy and accurate draft pours with great care for the product Flavor profile assessment and the ability to guide customers through their decision-making process with ease and efficiency. Assuring clean facilities Organizing and assisting with merchandise inventory including log record keeping Tirelessly working to maintain the friendly and welcoming atmosphere at Tree House Many other retail related tasks as needed Applicant Requirements: Relevant experience in a fast-paced retail environment Refined and educated beer palate Impeccable communication and customer service skills Bartending Experience with TIPS certification strongly preferred Able to push, pull, bend, and lift up to 50lbs consistently and be on your feet standing/walking for the majority of your shift You are self-motivated and able to work autonomously, with a focused and hardworking attitude A quick learner who is able to work with minimal or no supervision Ability to multitask, professionally, in time sensitive situations Ability to troubleshoot issues and/or pivot plans quickly in order to coordinate corrective actions needed Demonstrated meticulous attention to detail in processing payments Understanding and knowledge of the needs of artisan product consumers / broad craft beer knowledge & passion Desire to learn about the history of Tree House, our vision, and our beer; longstanding knowledge of Tree House's history and beer archive is a plus Flexible schedule and a willingness to work nights and weekends as needed to ensure coverage and that retail needs are met Benefits and Perks! Wellness reimbursement EAP (Employee Assistance Program) Birthday Paid Day Off 56 hours of sick time per year at an accrued rate of 1 hour for every 30 hours worked 401k with company match, 100% vested starting at enrollment Paid volunteer hours Pet Insurance available at discounted group rate Complimentary nutrition consultations Annual Employee Benefit Card: preloaded $500 credit for Beer, Merch or other products Discount of 50% on all products for personal use 2 free drafts and 2 free crew cans per shift 2 free drafts per guest for your immediate family when visiting 2 items per year embroidery benefit We look for flexibility in scheduling, with availability during peak business hours. Consistent Thursday through Sunday availability is necessary to apply for this position. This position is part-time and pays $20/hour + tips. Base salary is only one component of the total compensation package, as this role is eligible for participation in the company growth bonus program and a robust benefit and perk package. At Tree House, we work as a team and we work very hard. . . with purpose and intent. We do not cut corners and we do not take the easy route. We encourage dissent, critical thinking, and an ongoing desire to improve. Our goal is to make the best beverages in the world and to serve them in the most friendly and memorable environment possible - that is our obsession, and that is what drives us to do what we do. Tree House Brewing is proud to be an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We welcome all applicants who believe they meet the minimum requirements of available positions, with or without reasonable accommodation, to apply.

About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role: As a Software Engineer on our Cloud Infrastructure team, you'll be at the forefront, architecting and building the foundational systems that power Fireworks AI's revolutionary generative AI platform. You'll spearhead the creation of one of the world's first virtual clouds, seamlessly serving AI workloads across the globe and every cloud provider. Your mission: to deliver unparalleled reliability, efficiency, and scalability, fueling the world's most innovative AI products.This is a highly technical role requiring deep expertise in distributed systems, cloud-native infrastructure, and machine learning platforms. You'll partner closely with engineering partners, product teams, and infrastructure stakeholders to design solutions that balance performance, cost-efficiency, and operational simplicity across compute, storage, and networking layers. Key Responsibilities: Architect and build scalable, resilient, and high-performance backend infrastructure to support distributed training, inference, and data processing pipelines. Lead technical design discussions, mentor other engineers, and establish best practices for building and operating large-scale ML infrastructure. Design and implement core backend services (e.g., job schedulers, resource managers, autoscalers, model serving layers) with a focus on efficiency and low latency. Drive infrastructure optimization initiatives, including compute cost reduction, storage lifecycle management, and network performance tuning. Collaborate cross-functionally with ML, DevOps, and product teams to translate research and product needs into robust infrastructure solutions. Continuously evaluate and integrate cloud-native and open-source technologies (e.g., Kubernetes, Ray, Kubeflow, MLFlow) to enhance our platform's capabilities and reliability. Own end-to-end systems from design to deployment and observability, with a strong emphasis on reliability, fault tolerance, and operational excellence. Minimum qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience). 5+ years of experience designing and building backend infrastructure in cloud environments (e.g., AWS, GCP, Azure). Proven experience in ML infrastructure and tooling (e.g., PyTorch, TensorFlow, Vertex AI, SageMaker, Kubernetes, etc.). Strong software development skills in languages like Python, or C++. Deep understanding of distributed systems fundamentals: scheduling, orchestration, storage, networking, and compute optimization. Preferred qualifications: Master's or PhD in Computer Science or related field. Experience leading infrastructure projects supporting large-scale ML/AI workloads or high-throughput systems. Familiarity with infrastructure-as-code and CI/CD tooling (e.g., Terraform, ArgoCD, GitOps). Track record of driving system performance, reliability, and cost-efficiency improvements. Contributions to open-source cloud or ML infrastructure projects a plus. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted. Base Pay Range (Plus Equity)$175,000-$220,000 USDWhy Fireworks AI? Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. Build What's Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI-no bureaucracy, just results. Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.