Leads cross-functional verification and validation programs for autonomous vehicle safety, coordinating across software, hardware, and operations teams to meet performance and reliability requirements. Requires 7+ years in technical program management, preferably in automotive or robotics.
Leads security engineering and operations team, managing detection/response, AI security posture, and regulatory compliance in a high-growth health tech environment. Requires 10+ years experience including 5+ years managing managers.
Build UI-first GenAI applications for complex data workflows and visualizations in NYC office. Requires 10+ years in fullstack development with strong frontend architecture, modern JS frameworks, and server-side technologies.
Leads IAM teams to build and operate enterprise identity, authentication, authorization, and governance systems at global scale. Requires 8-12+ years experience in security/identity engineering, deep IAM expertise, cloud architecture (AWS/GCP/Azure), and Zero Trust principles.
Leads development of AI-powered, full-stack cloud-native applications for enterprise workflows. Requires 12+ years experience, 3+ years technical leadership, and strong full-stack expertise.
Leads development of end-to-end AI-powered full-stack applications for enterprise workflows at Databricks. Requires 12+ years software engineering experience with 3+ years technical leadership in cloud-native systems.
Senior Software Engineer designs and automates networking infrastructure for large-scale compute clusters across cloud providers, ensuring secure connectivity for data/AI workloads. Requires 5+ years in Python/Java/Scala/C++ and 4+ years in distributed systems.
Designs and automates networking infrastructure for large-scale Databricks compute clusters across cloud providers. Requires 5+ years in Python/Java/Scala/C++ and 4+ years in distributed systems with networking expertise.
Sr. Software Engineer on Money team designs and manages billing systems, develops pricing primitives, enhances infrastructure reliability, and uses AI for cost optimization across major cloud providers. Requires BS in CS and experience with distributed services at scale.
Leads engineering team in UI Platform to enhance developer productivity via fast dev loops or unified interfaces using React, TypeScript, and GraphQL. Requires 5+ years frontend experience and 2+ years management of distributed teams.
Lead engineering for Materialized Views at Databricks, designing scalable systems for ETL and query acceleration. Requires 15+ years in distributed systems, deep expertise in databases/storage, and strong algorithms knowledge.
Builds secure distributed systems to protect customer data in Databricks' data and AI platform. Requires 5+ years in data security, expertise in areas like Kubernetes security and cryptography, plus MS/PhD and leadership skills.
Leads security infrastructure engineering at Databricks, enhancing platform security, building scalable systems, and driving strategy. Requires 7+ years in data security, 10+ years in distributed systems, and MS/PhD.
Leads development of secure IAM systems for Databricks' data and AI platform, plugging security gaps and building highly available distributed systems. Requires 7+ years in data security, 10+ years in distributed systems, MS/PhD, and expertise in IAM, Kubernetes, cryptography.
Leads security infrastructure engineering at Databricks, plugging critical gaps in large-scale systems, with 15+ years experience in distributed systems and 9+ in data security areas like Kubernetes security and cryptography. Requires MS/PhD and strong leadership.
Engineering Manager leading IAM team to scale authentication, authorization, and identity services for Databricks' data and AI platform. Requires 5+ years leadership, deep IAM expertise, and experience with large-scale secure systems.
Leads privacy and security engineering to secure Databricks' data platform, identifies infrastructure gaps, and drives strategy. Requires 9+ years in data security, 15+ years in distributed systems, and MS/PhD.
Leads development of IAM and security systems at scale to protect customer data on Databricks platform. Requires 7+ years in data security, 10+ years in distributed systems, and MS/PhD.
Engineering manager leading Spark Structured Streaming development, enhancing stream processing with advanced features and performance improvements. Requires 5+ years in big data/Spark, team leadership, and distributed systems expertise.
Leads engineering team building security foundations for Databricks' data and AI platform, focusing on secure frameworks, compliance, and cross-functional partnerships. Requires strong engineering management experience and deep security expertise.
Leads IAM and security engineering to secure Databricks' data platform, plugging infrastructure gaps and building scalable systems. Requires 9+ years in data security, 15+ years in distributed systems, and MS/PhD.
Designs, implements, tests, and operates backend microservices for Databricks' large-scale data and AI platform using Scala/Java, Spark, Kafka, and cloud technologies. Requires 10+ years experience in distributed systems and SaaS platforms.
Designs and manages billing systems for Databricks products across major clouds, develops pricing primitives, enhances infrastructure reliability, and leads with AI for cost optimization. Requires BS in CS and proven distributed systems experience.
Staff Backend Software Engineer designs, builds, and operates scalable microservices for Databricks' data/AI platform using Scala/Java, Spark, Kafka, and cloud technologies. Requires 10+ years experience in large-scale distributed systems.
Build scalable backend infrastructure and products for Databricks platform, focusing on serverless, cloud core, partner ecosystems, notebooks, and application platforms. Requires 5+ years experience with Java/Scala/Golang/C++, distributed systems, cloud tech, and SaaS.
Leads technical vision and execution for user activation features like onboarding and workspace experiences at Databricks. Requires 15+ years software engineering, 5+ years management, and full-stack expertise in scalable SaaS platforms.
Build robust, scalable frontend experiences for Databricks' data and AI platform, focusing on user-centric workflows for data pipelines, visualization, and collaborative projects at massive scale. Requires 5+ years in JavaScript and modern frameworks.
Designs and implements next-gen query engines and storage for Lakehouse architecture, focusing on query optimization, distributed execution, vectorized processing, and efficient storage. Requires 8+ years in database/distributed systems.
Leads technical vision and development of search quality systems, including ranking models, relevance evaluation, and hybrid retrieval for enterprise AI applications. Requires 10+ years experience in large-scale search and ML-driven relevance systems.
Develop full-stack web applications for GenAI observability platform, focusing on intuitive UI/UX, scalable backend APIs, and performance optimization. Requires 5+ years in JavaScript frameworks and server-side technologies like Java/Python.
Fullstack engineer building scalable data platforms with user-friendly workflows for compute clusters, pipelines, and collaborative projects. Requires 5+ years in frontend (React) and backend (Node.js, Java, Python), plus cloud and distributed systems experience.
Designs, builds, and operates scalable microservices for Databricks' data and AI platform using Scala/Java, Spark, Kafka, and cloud technologies. Requires 10+ years experience in large-scale distributed systems.
Leads development of AI-powered systems for customer engagement using ML/LLMs to provide precise solutions and escalations. Requires 6+ years in large-scale distributed systems with strong product and ML expertise.
Designs, builds, and operates scalable backend microservices for Databricks' data and AI platform using Scala/Java, Spark, Kafka, and cloud technologies. Requires 10+ years experience in large-scale distributed systems.
Build scalable backend infrastructure and products for Databricks' data and AI platform, focusing on resource management, distributed systems, and machine learning. Requires 5+ years experience with Java/Scala/C++, large-scale systems, and cloud technologies.
Build AI/ML environment infrastructure enabling researchers to configure training and serving setups reliably. Requires 5+ years backend experience, strong Python/Scala/Java skills, and expertise in distributed systems and containerization.
Build and extend scalable infrastructure for Databricks' data and AI platform, including multi-cloud systems and Kubernetes at massive scale. Requires 5+ years experience in Java/Scala/Go/C++/Python, distributed systems, and cloud technologies.
Leads compute fleet management across AWS, Azure, and GCP, optimizing billions of resources for peak performance, 99.99% availability, and 60%+ utilization. Requires deep distributed systems expertise and cross-team leadership for mission-critical infrastructure.
Performance engineer evaluates product performance, identifies bottlenecks in large-scale distributed systems, sets benchmarks, and collaborates on scalability solutions. Requires BS in Computer Science and experience in performance analysis.
Designs and implements advanced query engines and storage systems for Lakehouse architecture, focusing on performance optimization across ETL, BI, and ML workloads. Requires 5+ years in database/distributed systems.
Designs and implements advanced query engines and storage systems for Lakehouse architecture, focusing on performance optimization across ETL, BI, and ML workloads. Requires 5+ years in database/distributed systems.
Designs and builds service-to-service communication systems, ingress control planes, and overload protection for Databricks' multi-cloud infrastructure. Requires 5+ years in distributed systems, proficiency in Java/Scala/Go/C++, and cloud/container experience.
Designs, implements, and maintains security measures for AI solutions, automates security processes using cloud tools, leads developer security tooling adoption, and ensures AWS infrastructure protection. Requires hands-on AWS experience and proficiency in Python, Go, Ruby, JavaScript.
Designs and owns mechanical systems for gigawatt-scale, AI-optimized data centers, from concept through deployment. Requires 5-8 years experience in data center facilities, expertise in high-density cooling, and proficiency in Revit/BIM and CFD modeling.
Builds backend primitives and integrations for data connectivity in Retool apps, including managed databases and LLM frameworks. Requires 5+ years full-stack experience, cloud infrastructure, and customer-focused problem-solving.
Lead Infrastructure Engineer shapes Atticus's infrastructure roadmap, builds security/reliability foundations, and empowers product teams with self-service tools. Requires 5+ years infra/SRE experience, GCP/Terraform expertise, and broad technical knowledge across networking, observability, and CI/CD.
Designs and analyzes powertrain safety and fail-operational systems for autonomous vehicles, leading hazard analysis, requirements, and safety concepts. Requires 4+ years experience in electrified powertrains and functional safety standards like ISO 26262.
Owns digital infrastructure for AI research, managing compute access, auto-scaling, resource visibility, and reproducibility using Kubernetes and observability tools. Requires systems intuition, operational rigor, and pragmatism for experimental workloads.
Staff Software Engineer architects high-performance infrastructure for large-scale Neuro-AI models and simulations, optimizes RL environments informed by neuroscience, and scales research prototypes to production while resolving technical bottlenecks.
Staff Backend Engineer builds data pipelines, ML models, and services for Airbnb host tools and personalization. Requires 10+ years experience leading teams, influencing product strategy, and mentoring engineers.
Leads cross-functional verification and validation programs for autonomous vehicle safety, coordinating across software, hardware, and operations teams to meet performance and reliability requirements. Requires 7+ years in technical program management, preferably in automotive or robotics.
Leads security engineering and operations team, managing detection/response, AI security posture, and regulatory compliance in a high-growth health tech environment. Requires 10+ years experience including 5+ years managing managers.
Build UI-first GenAI applications for complex data workflows and visualizations in NYC office. Requires 10+ years in fullstack development with strong frontend architecture, modern JS frameworks, and server-side technologies.
Leads IAM teams to build and operate enterprise identity, authentication, authorization, and governance systems at global scale. Requires 8-12+ years experience in security/identity engineering, deep IAM expertise, cloud architecture (AWS/GCP/Azure), and Zero Trust principles.
Leads development of AI-powered, full-stack cloud-native applications for enterprise workflows. Requires 12+ years experience, 3+ years technical leadership, and strong full-stack expertise.
Leads development of end-to-end AI-powered full-stack applications for enterprise workflows at Databricks. Requires 12+ years software engineering experience with 3+ years technical leadership in cloud-native systems.
Senior Software Engineer designs and automates networking infrastructure for large-scale compute clusters across cloud providers, ensuring secure connectivity for data/AI workloads. Requires 5+ years in Python/Java/Scala/C++ and 4+ years in distributed systems.
Designs and automates networking infrastructure for large-scale Databricks compute clusters across cloud providers. Requires 5+ years in Python/Java/Scala/C++ and 4+ years in distributed systems with networking expertise.
Sr. Software Engineer on Money team designs and manages billing systems, develops pricing primitives, enhances infrastructure reliability, and uses AI for cost optimization across major cloud providers. Requires BS in CS and experience with distributed services at scale.
Leads engineering team in UI Platform to enhance developer productivity via fast dev loops or unified interfaces using React, TypeScript, and GraphQL. Requires 5+ years frontend experience and 2+ years management of distributed teams.
Lead engineering for Materialized Views at Databricks, designing scalable systems for ETL and query acceleration. Requires 15+ years in distributed systems, deep expertise in databases/storage, and strong algorithms knowledge.
Builds secure distributed systems to protect customer data in Databricks' data and AI platform. Requires 5+ years in data security, expertise in areas like Kubernetes security and cryptography, plus MS/PhD and leadership skills.
Leads security infrastructure engineering at Databricks, enhancing platform security, building scalable systems, and driving strategy. Requires 7+ years in data security, 10+ years in distributed systems, and MS/PhD.
Leads development of secure IAM systems for Databricks' data and AI platform, plugging security gaps and building highly available distributed systems. Requires 7+ years in data security, 10+ years in distributed systems, MS/PhD, and expertise in IAM, Kubernetes, cryptography.
Leads security infrastructure engineering at Databricks, plugging critical gaps in large-scale systems, with 15+ years experience in distributed systems and 9+ in data security areas like Kubernetes security and cryptography. Requires MS/PhD and strong leadership.
Engineering Manager leading IAM team to scale authentication, authorization, and identity services for Databricks' data and AI platform. Requires 5+ years leadership, deep IAM expertise, and experience with large-scale secure systems.
Leads privacy and security engineering to secure Databricks' data platform, identifies infrastructure gaps, and drives strategy. Requires 9+ years in data security, 15+ years in distributed systems, and MS/PhD.
Leads development of IAM and security systems at scale to protect customer data on Databricks platform. Requires 7+ years in data security, 10+ years in distributed systems, and MS/PhD.
Engineering manager leading Spark Structured Streaming development, enhancing stream processing with advanced features and performance improvements. Requires 5+ years in big data/Spark, team leadership, and distributed systems expertise.
Leads engineering team building security foundations for Databricks' data and AI platform, focusing on secure frameworks, compliance, and cross-functional partnerships. Requires strong engineering management experience and deep security expertise.
Leads IAM and security engineering to secure Databricks' data platform, plugging infrastructure gaps and building scalable systems. Requires 9+ years in data security, 15+ years in distributed systems, and MS/PhD.
Designs, implements, tests, and operates backend microservices for Databricks' large-scale data and AI platform using Scala/Java, Spark, Kafka, and cloud technologies. Requires 10+ years experience in distributed systems and SaaS platforms.
Designs and manages billing systems for Databricks products across major clouds, develops pricing primitives, enhances infrastructure reliability, and leads with AI for cost optimization. Requires BS in CS and proven distributed systems experience.
Staff Backend Software Engineer designs, builds, and operates scalable microservices for Databricks' data/AI platform using Scala/Java, Spark, Kafka, and cloud technologies. Requires 10+ years experience in large-scale distributed systems.
Build scalable backend infrastructure and products for Databricks platform, focusing on serverless, cloud core, partner ecosystems, notebooks, and application platforms. Requires 5+ years experience with Java/Scala/Golang/C++, distributed systems, cloud tech, and SaaS.
Leads technical vision and execution for user activation features like onboarding and workspace experiences at Databricks. Requires 15+ years software engineering, 5+ years management, and full-stack expertise in scalable SaaS platforms.
Build robust, scalable frontend experiences for Databricks' data and AI platform, focusing on user-centric workflows for data pipelines, visualization, and collaborative projects at massive scale. Requires 5+ years in JavaScript and modern frameworks.
Designs and implements next-gen query engines and storage for Lakehouse architecture, focusing on query optimization, distributed execution, vectorized processing, and efficient storage. Requires 8+ years in database/distributed systems.
Leads technical vision and development of search quality systems, including ranking models, relevance evaluation, and hybrid retrieval for enterprise AI applications. Requires 10+ years experience in large-scale search and ML-driven relevance systems.
Develop full-stack web applications for GenAI observability platform, focusing on intuitive UI/UX, scalable backend APIs, and performance optimization. Requires 5+ years in JavaScript frameworks and server-side technologies like Java/Python.
Fullstack engineer building scalable data platforms with user-friendly workflows for compute clusters, pipelines, and collaborative projects. Requires 5+ years in frontend (React) and backend (Node.js, Java, Python), plus cloud and distributed systems experience.
Designs, builds, and operates scalable microservices for Databricks' data and AI platform using Scala/Java, Spark, Kafka, and cloud technologies. Requires 10+ years experience in large-scale distributed systems.
Leads development of AI-powered systems for customer engagement using ML/LLMs to provide precise solutions and escalations. Requires 6+ years in large-scale distributed systems with strong product and ML expertise.
Designs, builds, and operates scalable backend microservices for Databricks' data and AI platform using Scala/Java, Spark, Kafka, and cloud technologies. Requires 10+ years experience in large-scale distributed systems.
Build scalable backend infrastructure and products for Databricks' data and AI platform, focusing on resource management, distributed systems, and machine learning. Requires 5+ years experience with Java/Scala/C++, large-scale systems, and cloud technologies.
Build AI/ML environment infrastructure enabling researchers to configure training and serving setups reliably. Requires 5+ years backend experience, strong Python/Scala/Java skills, and expertise in distributed systems and containerization.
Build and extend scalable infrastructure for Databricks' data and AI platform, including multi-cloud systems and Kubernetes at massive scale. Requires 5+ years experience in Java/Scala/Go/C++/Python, distributed systems, and cloud technologies.
Leads compute fleet management across AWS, Azure, and GCP, optimizing billions of resources for peak performance, 99.99% availability, and 60%+ utilization. Requires deep distributed systems expertise and cross-team leadership for mission-critical infrastructure.
Performance engineer evaluates product performance, identifies bottlenecks in large-scale distributed systems, sets benchmarks, and collaborates on scalability solutions. Requires BS in Computer Science and experience in performance analysis.
Designs and implements advanced query engines and storage systems for Lakehouse architecture, focusing on performance optimization across ETL, BI, and ML workloads. Requires 5+ years in database/distributed systems.
Designs and implements advanced query engines and storage systems for Lakehouse architecture, focusing on performance optimization across ETL, BI, and ML workloads. Requires 5+ years in database/distributed systems.
Designs and builds service-to-service communication systems, ingress control planes, and overload protection for Databricks' multi-cloud infrastructure. Requires 5+ years in distributed systems, proficiency in Java/Scala/Go/C++, and cloud/container experience.
Designs, implements, and maintains security measures for AI solutions, automates security processes using cloud tools, leads developer security tooling adoption, and ensures AWS infrastructure protection. Requires hands-on AWS experience and proficiency in Python, Go, Ruby, JavaScript.
Designs and owns mechanical systems for gigawatt-scale, AI-optimized data centers, from concept through deployment. Requires 5-8 years experience in data center facilities, expertise in high-density cooling, and proficiency in Revit/BIM and CFD modeling.
Builds backend primitives and integrations for data connectivity in Retool apps, including managed databases and LLM frameworks. Requires 5+ years full-stack experience, cloud infrastructure, and customer-focused problem-solving.
Lead Infrastructure Engineer shapes Atticus's infrastructure roadmap, builds security/reliability foundations, and empowers product teams with self-service tools. Requires 5+ years infra/SRE experience, GCP/Terraform expertise, and broad technical knowledge across networking, observability, and CI/CD.
Designs and analyzes powertrain safety and fail-operational systems for autonomous vehicles, leading hazard analysis, requirements, and safety concepts. Requires 4+ years experience in electrified powertrains and functional safety standards like ISO 26262.
Owns digital infrastructure for AI research, managing compute access, auto-scaling, resource visibility, and reproducibility using Kubernetes and observability tools. Requires systems intuition, operational rigor, and pragmatism for experimental workloads.
Staff Software Engineer architects high-performance infrastructure for large-scale Neuro-AI models and simulations, optimizes RL environments informed by neuroscience, and scales research prototypes to production while resolving technical bottlenecks.
Staff Backend Engineer builds data pipelines, ML models, and services for Airbnb host tools and personalization. Requires 10+ years experience leading teams, influencing product strategy, and mentoring engineers.