Data Platform Engineer - Member of Technical Staff

About Us:At Fireworks, we are pioneering the future of generative AI infrastructure. Our platform is recognized for delivering the highest-quality models with the industry's fastest and most scalable inference capabilities. With an independent benchmark as the leader in LLM inference speed, we are at the forefront of innovation, working on advanced projects including our proprietary function calling and multimodal models. As a Series C company valued at $4 billion, we are backed by esteemed investors such as Benchmark, Sequoia, Lightspeed, Index, and Evantic. Our team is made up of ambitious builders, including veterans from Meta PyTorch and Google Vertex AI.The RoleWe are seeking a skilled Data Platform Engineer specializing in Order-to-Cash (OTC) Revenue Transformation and AI Application Enablement. This role will involve taking ownership of and evolving the comprehensive billing, revenue, and business data pipeline—from usage metering and invoice generation to revenue recognition and financial reporting. You will be positioned at the nexus of Engineering, Finance, and Data, ensuring precise capture, billing, recognition, and reconciliation of every dollar generated across our five revenue streams.This impactful, cross-functional role requires hands-on engagement with our billing platform (e.g., Orb), accounting systems, data warehouse (BigQuery), and cloud marketplaces (AWS, GCP). Ultimately, you will contribute to the design of AI-enabled workflow agents that automate reconciliation, anomaly detection, and revenue operations once the core data infrastructure is fortified.

About Us:At Fireworks AI, we are revolutionizing the landscape of generative AI infrastructure. Our advanced platform provides the highest quality models with unparalleled speed and scalability in inference. We have been recognized as the industry leader in Large Language Model (LLM) inference speed and are committed to innovative projects, including our proprietary function calling and multimodal models. As a Series C company valued at $4 billion, we are backed by esteemed investors such as Benchmark, Sequoia, Lightspeed, Index, and Evantic. Our team consists of passionate builders, many of whom are veterans from Meta PyTorch and Google Vertex AI.The Role:As a vital contributor to our backend systems, you will help shape the foundation of Fireworks:Our primary web applicationModel and fine-tuning job orchestrationBilling and enterprise functionalitiesUser accounts, organization management, and access controlsPolicy enforcement and governanceAPIs and developer toolsAnd many exciting projects!This is platform engineering with tangible product impact. Your contributions will directly influence how our customers interact with AI. You will collaborate closely with product, frontend, infrastructure, and go-to-market teams to deliver comprehensive features rather than just completing tickets.

About Us:At Fireworks AI, we are at the forefront of generative AI infrastructure innovation. We provide cutting-edge models with unmatched inference speed and scalability, establishing ourselves as leaders in the industry. Our projects include groundbreaking function calling and multimodal models, solidifying our reputation for excellence. As a Series C company valued at $4 billion, we are backed by esteemed investors such as Benchmark, Sequoia, Lightspeed, Index, and Evantic. Our dynamic team, composed of veterans from Meta PyTorch and Google Vertex AI, thrives on collaboration and ambition.The RoleJoin us in developing the fundamental systems that drive Fireworks AI, ranging from customer-centric APIs and product features to the distributed infrastructure facilitating AI workloads on a massive scale.This position is a comprehensive full-stack backend and infrastructure role. You will design systems, deliver products, and take ownership of the entire process from inception to deployment.What You’ll Work OnAPIs, web backend, and developer toolingModel training, fine-tuning, and inference orchestrationJob scheduling, autoscaling, and model servingBilling, enterprise features, and access controlCross-cloud infrastructure (compute, storage, networking)Global scale GPU cluster managementWhat You’ll DoDevelop and scale backend services and distributed systemsEnsure system reliability from design through productionCollaborate directly with customers to address real-world challengesEnhance performance, cost-effectiveness, and developer experienceRapidly implement AI tools to automate processesYou Might Be a Fit IfYou are eager to engage in the AI revolutionYou enjoy building infrastructure and backend systems that enhance productsYou think critically about systems, trade-offs, and their impactsYou demonstrate ownership and drive initiatives across teams

About Us:At Fireworks AI, we are at the forefront of developing innovative generative AI infrastructure. Our platform is recognized for delivering top-tier models and the industry's fastest, most scalable inference capabilities. As an industry leader in LLM inference speed, we are pushing boundaries with groundbreaking projects, including our own function calling and multimodal models. Fireworks is a Series C startup valued at $4 billion, supported by premier investors such as Benchmark, Sequoia, Lightspeed, Index, and Evantic. Our passionate and collaborative team is comprised of seasoned professionals from Meta PyTorch and Google Vertex AI.The Role: We are seeking a Training Infrastructure Engineer to design, build, and optimize the infrastructure that underpins our large-scale model training operations. Your contributions will be pivotal in establishing high-performance AI training infrastructure. You'll work closely with AI researchers and engineers to develop robust training pipelines, optimize distributed training workloads, and guarantee the reliability of model development.

Welcome to Moonlake, where we leverage AI to craft immersive world simulations.Mission: Join us as an Applied AI Research Engineer focused on designing and coding intelligent agents (post-training and systems).Scope of Work:Design agentic systems: Develop tool catalogs, function calls, program synthesis, repair loops, and control mechanisms such as ReAct, Reflexion, ToT, and LangGraph, along with self-verification and sandboxed execution.Evaluation mindset: Create comprehensive task suites for multi-step coding, including full-stack LLM engineering, prompt libraries, routing, retrieval, KV-cache management, streaming, and telemetry.Security and isolation: Implement Docker/firejail, manage network egress controls, maintain secrets hygiene, and ensure dependency pinning for supply-chain integrity.Strong post-training capabilities: Conduct supervised fine-tuning, preference and trace reinforcement learning (DPO/RLAIF/RLHF), dataset curation, reward shaping, and safety filtering.Technical Signals:Experience shipping agents that successfully navigate real repository test suites from start to finish.Published research in the fields of agentic systems and code generation, contributing to frameworks or open-source evaluations such as LangGraph, AutoGen, Guidance, LEAP, and SWE-bench variants.Developed datasets from execution traces, demonstrating significant enhancements from data over parameters.We are committed to maintaining an on-site, collaborative team environment based in San Mateo.

Join our innovative team at Moonlake, where we harness the power of AI to create dynamic, real-time interactive content.Our Mission: To deliver exceptional product-level user experiences and full-stack solutions, transforming research insights into captivating, market-ready products swiftly.Key Qualifications:Exemplary product acumen; experience in rapid prototyping and ownership from inception to launch.Technical stack familiarity: Next.js/React, Tailwind/shadcn, edge/serverless architectures (Vercel/Cloudflare), tRPC/GraphQL, data synchronization, and authentication protocols.Ability to design and implement model endpoints, observability hooks, feature flags, and experimentation toggles.Technical Competencies:A portfolio showcasing polished AI applications in a production environment.Experience in developing and deploying design systems with a strong focus on performance metrics.We pride ourselves on being an on-site team, located in the vibrant city of San Mateo.

Verkada seeks a Senior Staff Software Engineer to join the Platform Infrastructure team in San Mateo, CA. This senior technical position focuses on shaping and improving the core infrastructure that underpins Verkada's products, with particular attention to performance and scalability. Key Responsibilities Lead the design, building, and ongoing support of platform infrastructure. Partner with engineering teams to deliver software solutions that enable the platform to grow and adapt. Spot opportunities to improve reliability and efficiency, and guide initiatives to address them. Collaboration Frequent collaboration with cross-functional teams is central to this role. The goal is to ensure that infrastructure evolves to meet the demands of both current and future products.

Join us at Moonlake, where we harness the power of AI to create immersive world simulations.Model Development & ArchitectureDesign and refine innovative 2D/3D/image/video/audio diffusion architectures.Engage in conditioning tasks involving text, images, poses, layouts, and control signals with multi-modal encoders and guidance strategies.Training & OptimizationConduct large-scale diffusion training to enhance model performance.Focus on improving sample quality while optimizing computational resources through advanced objectives, distillation, and consistency models.Control & AlignmentImplement cutting-edge techniques such as ControlNet, LoRA, and IP-Adapters to manage style, identity, geometry, and control.Develop robust editing, inpainting, and personalization pipelines, including DreamBooth and custom subject/style tuning.Our vibrant team is dedicated to working on-site, currently located in San Mateo.

Welcome to Moonlake, where we harness AI to create immersive world simulations.Our Mission: To enhance throughput, latency, and cost efficiency—deploying our models 2–10 times faster and more affordably, all while maintaining quality.Key Responsibilities:Optimize GPU performance through CUDA/Triton kernels, FlashAttention, paged attention, and CUDA Graphs.Manage the serving stack, including TensorRT-LLM/Triton Inference Server, vLLM/TGI; implement continuous batching and on-GPU KV reuse; explore speculative decoding/medusa and mixture-of-agents routing.Enhance parallelism via FSDP/ZeRO, TP/PP/expert parallel, and fine-tune NCCL.Implement quantization/PEFT techniques such as AWQ/GPTQ/FP8 and LoRA/DoRA serving.Oversee systems like Ray/k8s/Argo, ensuring observability with Prom/Grafana/OpenTelemetry, autoscaling, A/B testing infrastructure, and canary deployments with rollback capabilities.Ideal Candidate Profile:Candidates should have prior experience in infrastructure-heavy startups, particularly at companies like Databricks or Roblox. We are dedicated to fostering a collaborative, in-person team environment in San Mateo.

About Us:At Fireworks AI, we are pioneering the next generation of generative AI infrastructure. Our innovative platform is designed to deliver the highest quality models with unparalleled speed and scalability in inference. Recognized as a leader in LLM inference speed, we continuously push the boundaries of technology through transformative projects, including our proprietary function calling and multimodal models. As a Series C company valued at $4 billion, we are supported by esteemed investors like Benchmark, Sequoia, Lightspeed, Index, and Evantic. Our team is a dynamic blend of visionaries and builders, with a strong foundation from Meta PyTorch and Google Vertex AI.The Role:As a Member of the Technical Staff specializing in Cluster Management at Fireworks AI, you will be pivotal in ensuring our world-scale virtual AI cloud operates reliably, efficiently, and at peak performance. Your expertise in large-scale distributed systems, cloud infrastructure, and operational excellence will be essential as you collaborate with top-tier software engineers and AI specialists to elevate our advanced AI platforms, addressing the rapid growth and evolving needs of our applications. This position is ideal for individuals passionate about building resilient, observable, and automated systems that drive customer success.

Skydio stands at the forefront of drone technology, recognized as the premier U.S. drone manufacturer and a global leader in autonomous flight. Our innovative team merges extensive knowledge in artificial intelligence with top-tier hardware and software development, operational excellence, and an unwavering commitment to customer satisfaction. We aim to empower a diverse range of drone users, from utility inspectors to first responders and military personnel, enhancing their operational capabilities and safety.About the Role:We are seeking a pivotal member of our Data Team to drive Skydio's data-centric decision-making processes and product development. In this role, you will create systems that gather, transform, and store data from a vast fleet of autonomous drones, generating insights that enhance the intelligence, safety, and capabilities of our vehicles. You will have the chance to shape our data architecture, advocate for cutting-edge tools like Databricks and Palantir Foundry, and introduce AI-assisted analytics across the organization.This role goes beyond traditional data positions; you will engage with complex challenges at the convergence of autonomy, AI, and large-scale telemetry, transforming raw flight data into actionable intelligence that impacts the real world!Key Contributions:Develop predictive models to anticipate hardware failures, such as propeller and battery issues, enabling proactive mitigation strategies.Create 3D maps detailing cellular and radio connectivity within operational airspace, aiding customers in understanding safe and reliable flight zones for their drones.Establish a company-wide data lakehouse that underpins analytics, dashboards, and machine learning — designed to be secure, scalable, and exceptionally fast.Implement AI-driven data tools that empower every Skydio team member to explore data, derive insights, and construct pipelines independently.Your Impact:Design and expand the data infrastructure capable of ingesting live telemetry from thousands of autonomous drones, ensuring reliability and efficiency to support future flight intelligence advancements.Enhance our Databricks and Palantir Foundry environments, enabling all Skydio employees to query data, define tasks, and build insightful dashboards — transforming raw telemetry into useful insights.Build data systems that genuinely empower our products with data-driven capabilities, from predictive analytics to enhanced decision-making.

Join Moonlake, the forefront of AI technology for crafting immersive world simulations.Your Role: Design and train advanced embodied agents capable of perceiving their environment through vision, depth, and language; reasoning through memory and planning; and acting with precision in both continuous and discrete control.We are dedicated to fostering a collaborative, in-person team environment based in San Mateo, CA.

Join Moonlake, a pioneering company at the forefront of artificial intelligence dedicated to crafting immersive world simulations.As a member of our Technical Staff, you will design and train advanced embodied agents capable of perception through vision, depth, and language, along with reasoning abilities including memory and planning, to execute actions through both continuous and discrete control methods.We pride ourselves on maintaining a collaborative and innovative team environment, currently operating from our San Mateo headquarters.

About Us:At Fireworks, we are at the forefront of generative AI infrastructure. Our platform stands out by delivering the highest-quality models with the fastest and most scalable inference capabilities in the industry. Recognized as a leader in LLM inference speed through independent benchmarking, we are spearheading innovation with projects like our proprietary function calling and multimodal models. As a Series C company valued at $4 billion and supported by leading investors such as Benchmark, Sequoia, Lightspeed, Index, and Evantic, we are a dynamic and collaborative team founded by veterans from Meta PyTorch and Google Vertex AI.We are in search of a Technical Staff Member for Evals & Post-Training Product to play a pivotal role in shaping how developers enhance models on our Fireworks platform. This position operates at the crossroads of product engineering, developer experience, and model quality.In this role, you will create products and workflows that establish a continuous connection between evaluation and post-training. You will facilitate internal teams in executing evaluations at scale, empower external developers through our open-source Eval Protocol SDK, and oversee critical product experiences aimed at fine-tuning custom models on Fireworks.Your work will span the entire stack—from APIs, SDKs, and backend systems to user-facing components in the web application—enabling users to easily create evaluations, interpret results, fine-tune models, and iterate swiftly. Additionally, you will engage directly with customers and internal teams to identify pain points, support real-world use cases, and transform recurring challenges into efficient product features.

Why Choose PlayStation?At PlayStation, we pride ourselves on being more than just the ultimate gaming destination; we are also a premier workplace. Recognized globally for our innovation in entertainment, we develop the PlayStation family of products and services, including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and critically acclaimed software titles from PlayStation Studios.We are committed to fostering an inclusive environment that champions diversity and empowers our team members. If you are passionate about technology, innovation, and gaming, we encourage you to explore our open positions and be a part of our expanding global family.PlayStation operates under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.Senior Director of Data Platform Engineering & OperationsSan Mateo, CAAs the Senior Director of Data Platform Engineering & Operations, you will play a pivotal role at SIE, spearheading innovation and scalability across our robust data and AI platform ecosystem. Your leadership will encompass managing critical platforms such as Data Infrastructure (including Streaming, Ingestion, Warehouse, and Data Ocean), Experimentation and Audience Platforms, along with Governance and Data Observability tools.In this capacity, your mission will be to ensure that SIE’s platforms efficiently handle vast amounts of data, providing insights that enhance experiences for Players, Creators, Publishers, and the broader Enterprise. By facilitating data-driven decision-making at scale, you will influence the future of personalized gaming, operational efficiency, and enterprise productivity through cutting-edge AI and machine learning technologies.As a strategic visionary, you will define and implement the roadmap for SIE’s data and AI platform ecosystem, ensuring that solutions are scalable and aligned with key business objectives across gaming, content creation, and enterprise operations. Reporting directly to the VP of Data & AI, you will lead global teams of engineers and data experts to construct platforms that democratize data and revolutionize decision-making across the organization. Candidates with a proven track record in similar leadership roles will be given priority consideration.

Join the innovative team at Moonlake, where we harness the power of AI to create real-time interactive content.Mission: Elevate performance metrics by enhancing throughput, reducing latency, and optimizing costs - deploying our models 2–10 times faster and at lower costs without compromising quality.Scope of Work:GPU Performance: Expertise in CUDA/Triton kernels, FlashAttention family, paged attention, and CUDA Graphs.Serving Stack: Proficiency with TensorRT-LLM/Triton Inference Server, vLLM/TGI; continuous batching; on-GPU KV reuse; speculative decoding/medusa; and mixture-of-agents routing.Parallelism: Experience with FSDP/ZeRO, TP/PP/expert parallel; NCCL tuning.Quantization/PEFT: Familiarity with AWQ/GPTQ/FP8; LoRA/DoRA serving.Systems: Knowledge of Ray/k8s/Argo, observability tools (Prom/Grafana/OpenTelemetry), autoscaling, A/B infrastructure, and canary + rollback.Tech Signals:Ideal candidates will have previous experience at infrastructure-heavy startups such as Databricks or Roblox.We are dedicated to maintaining an on-site, in-person team based in San Mateo.

Who We AreVerkada is revolutionizing the way organizations safeguard their personnel and properties through an integrated, AI-driven platform. As a frontrunner in cloud-based physical security solutions, Verkada empowers organizations to enhance safety and operational efficiency via a unified software platform that encompasses video security, access control, air quality monitoring, alarms, intercom systems, and visitor management.Over 30,000 organizations globally, including over 100 Fortune 500 companies, rely on Verkada for a seamless physical security solution that simplifies management, provides intelligent control, and supports scalable deployments. Established in 2016, Verkada has experienced rapid growth, boasting 15 locations and over 2,200 dedicated employees.About the RoleAs a vital member of our Infrastructure team, you will be responsible for constructing data infrastructure, pipelines, and services that enable teams to harness data for informed decision-making and deliver high-quality features to users. We prioritize tools over rigid processes, automation over manual operations, metrics over subjective observations, iterative improvement over perfection, and proactive measures over reactive responses.This position requires an in-office presence at our headquarters in San Mateo, CA, as we are dedicated to fostering a vibrant in-office culture.What You'll DoDesign and develop robust, scalable, and efficient data infrastructure that empowers the team to derive insights and make informed, data-driven decisions.Collaborate across departments to create data products that provide insights and enhance both Verkada's offerings and customer experiences.Design and implement solutions that guarantee data quality, security, and compliance.Lead projects from conception through to implementation.Mentor and nurture junior engineers.What You Bring5+ years of experience in data engineering or related fields.A flexible and adaptable mindset suited for a dynamic startup environment.A strong commitment to product quality and the development of systems that facilitate the delivery of high-quality releases.Extensive knowledge in distributed systems and data processing.Experience with data infrastructure and analytics.Familiarity with Kubernetes is preferred.Experience in data visualization and dashboard design is a plus.

Join Moonlake, where we harness the power of AI to craft immersive world simulations.Modeling & ArchitectureDevelop and enhance diffusion architectures for 2D/3D images, videos, and audio.Focus on conditioning techniques: text/image/pose/layout/control signals, multi-modal encoders, and guidance strategies.Training & OptimizationEngage in large-scale diffusion training processes.Enhance sample quality while managing compute trade-offs through improved objectives, distillation, and consistency models.Control & AlignmentUtilize techniques such as ControlNet, LoRA, and IP-Adapters for style, identity, geometry, and control adaptations.Design editing, inpainting, and personalization workflows, including DreamBooth and custom subject/style tuning.We are dedicated to maintaining an on-site, collaborative environment in San Mateo.

Join Moonlake, a pioneering company harnessing AI to develop immersive world simulations.Role OverviewEnhancing Training EfficiencyImplement data loaders, fusion techniques, activation rematerialization, and gradient checkpointing.Optimize training with FSDP/ZeRO/tensor+pipeline parallelism and NCCL tuning.Improving GPU and Kernel PerformanceConduct Nsight profiling, develop Triton/CUDA kernels, and create fused operations.Implement flash-attention style accelerations, sequence packing, and KV-cache optimizations.Optimizing InferenceFocus on low-latency serving, continuous batching, and speculative decoding strategies.Apply quantization methods (GPTQ/AWQ), distillation, and pruning techniques.Infrastructure and ReliabilityManage SLURM/Kubernetes multi-node jobs and ensure checkpoint hygiene.Maintain determinism, environment pinning, and effectively handle GPU failures.Our dedicated team thrives on collaboration in our San Mateo office.

Join us at Moonlake, where we leverage AI to craft immersive world simulations that push the boundaries of technology.Role OverviewEnhancing Training EfficiencyImplement advanced dataloaders, fusion techniques, activation rematerialization, and gradient checkpointing strategies.Utilize FSDP/ZeRO/tensor+pipeline parallelism and fine-tune NCCL settings for optimal performance.Boosting GPU and Kernel PerformanceConduct Nsight profiling and develop Triton/CUDA kernels along with fused operations.Implement flash-attention-style optimizations, sequence packing, and KV-cache improvements.Optimizing Inference ProcessesFacilitate low-latency serving, continuous batching, and speculative decoding techniques.Engage in quantization methods (GPTQ/AWQ), model distillation, and pruning practices.Infrastructure and Reliability EnhancementsManage SLURM/K8s multi-node jobs and ensure checkpoint hygiene.Focus on determinism, environment pinning, and effective GPU failure management.We pride ourselves on being an on-site, collaborative team located in San Mateo.