Join our team building the data infrastructure for Physical AI and Frontier Models. We're looking for talented individuals who want to make a real impact.
Architect and build the core systems behind Avala's 4D Engine — the reconstruction pipeline that fuses LiDAR, camera, radar, and IMU data into physics-grade spatiotemporal ground truth. You'll own the Gaussian Splatting renderer, temporal tracking systems, and the compute infrastructure that processes petabytes of multi-sensor data. What You'll Do: • Lead development of the 4D reconstruction pipeline (Gaussian Splatting, NeRF, multi-view stereo) • Design GPU-accelerated compute shaders for real-time point cloud processing and scene rendering • Build temporal tracking and object persistence systems across sensor frames • Architect distributed processing pipelines that scale to fleet-level data volumes • Set technical direction for the rendering team and mentor senior engineers • Collaborate with ML engineers on auto-labeling and scene understanding models Requirements: • 7+ years in graphics, 3D vision, or high-performance computing • Deep expertise in GPU programming (WebGPU, CUDA, Vulkan, or Metal) • Strong C++, Rust, or Dart performance optimization experience • Published work or production systems in 3D reconstruction or novel view synthesis • Experience leading technical teams of 3+ engineers Nice to Have: • Experience at an AV company (Tesla, Waymo, Aurora, Cruise) • Familiarity with Gaussian Splatting, radiance fields, or differentiable rendering • WebAssembly and browser-based rendering experience
Build and lead Avala's marketing function from the ground up. You'll define the brand, drive demand generation, and position Avala as the category leader in Physical AI data infrastructure — reaching VP/CTO buyers at autonomous vehicle, robotics, and defense companies. What You'll Do: • Define Avala's brand narrative and positioning in the Physical AI market • Build and execute multi-channel demand generation programs (content, events, developer marketing) • Create technical content that resonates with ML engineers and perception teams • Plan and execute Avala's presence at industry events (CVPR, NeurIPS, Autonomy conferences) • Build the marketing team from 1 to 4+ people over the next 12 months • Partner closely with sales to optimize pipeline and conversion metrics Requirements: • 7+ years in B2B marketing with at least 3 years in developer tools, ML, or robotics • Experience marketing technical infrastructure products to engineering buyers • Track record of building demand generation engines from early stage to scale • Strong technical writing ability — you can explain complex technology clearly • Experience with both product-led growth and enterprise sales marketing Nice to Have: • Network in the autonomous vehicle or robotics ecosystem • Experience marketing to defense or government buyers • Background in content creation (blog, video, podcast)
Embed directly with Avala's largest enterprise customers — autonomous vehicle programs and robotics companies — to integrate our platform into their data pipelines. You'll be a trusted technical partner who understands their perception stack and ensures Avala delivers production-grade training data at scale. What You'll Do: • Work on-site or closely with enterprise AV and robotics engineering teams • Integrate Avala's annotation and data platform into customer perception pipelines • Build custom data connectors, export formats, and workflow automations • Troubleshoot production data quality issues across sensor modalities • Translate customer requirements into platform feature requests and product feedback • Represent Avala as a technical expert in customer engineering meetings Requirements: • 4+ years in software engineering with customer-facing technical roles • Strong Python and systems programming experience • Understanding of autonomous vehicle or robotics perception stacks • Experience with sensor data — LiDAR, camera, radar, IMU • Excellent communication skills — you can work with ML researchers and engineering managers alike • Willingness to travel to customer sites (20-30%) Nice to Have: • Experience at an AV company (Tesla, Waymo, Aurora, Motional, Zoox) • Familiarity with annotation tools or ML training data pipelines • Experience with ROS, MCAP, or custom sensor data formats
Build Avala's data platform — the ingestion, storage, and curation layer that processes multi-sensor recordings from production autonomous vehicle and robotics fleets. You'll design systems that handle petabytes of LiDAR, camera, and radar data with sub-second query performance. What You'll Do: • Design and build high-throughput data ingestion pipelines for fleet sensor data • Implement dataset curation tools — search, filter, slice, and export at scale • Build the Sessions system that groups recordings into logical units for annotation • Optimize storage and retrieval for petabyte-scale multi-modal datasets • Integrate with customer data lakes (S3, GCS) via zero-copy indexing • Design APIs that power both the web UI and Python/TypeScript SDKs Requirements: • 5+ years building data infrastructure or platform engineering systems • Strong Python and/or TypeScript with production systems experience • Experience with distributed data processing (Spark, Flink, or custom pipelines) • Deep knowledge of PostgreSQL, Redis, and cloud storage (S3/GCS) • Experience designing APIs for developer platforms Nice to Have: • Experience with robotics data formats (MCAP, ROS bags, nuScenes) • Familiarity with sensor fusion or multi-modal data pipelines • Experience building search/indexing systems at scale
Build the ML models that power Avala's agentic labeling system — the pipeline where AI models generate initial annotations, human experts refine them, and the feedback loop continuously improves both. You'll work at the intersection of foundation models, active learning, and production annotation workflows. What You'll Do: • Develop and fine-tune foundation models for auto-labeling (2D detection, 3D cuboids, segmentation) • Build active learning systems that intelligently route tasks between AI and human annotators • Design feedback loops that use human corrections to improve model accuracy over time • Implement model evaluation pipelines that measure annotation quality and coverage • Scale inference infrastructure to handle real-time auto-labeling across sensor modalities • Collaborate with operations teams to optimize the human-AI annotation workflow Requirements: • 3+ years training and deploying ML models in production • Strong experience with object detection, segmentation, or 3D perception models • Proficiency in Python, PyTorch, and distributed training frameworks • Experience with active learning, semi-supervised learning, or human-in-the-loop ML • Understanding of ML ops — model versioning, A/B testing, monitoring Nice to Have: • Experience with LiDAR perception or multi-sensor fusion models • Familiarity with foundation models (SAM, DINO, or similar) for annotation • Published research in active learning or interactive annotation
Own security for Avala's platform — from SOC 2 compliance to application security to infrastructure hardening. Our enterprise customers in autonomous vehicles and defense demand the highest security standards, and you'll ensure we exceed them. What You'll Do: • Lead SOC 2 Type II compliance and security audit programs • Perform application security reviews and penetration testing • Design and implement infrastructure security controls across AWS (ECS, Aurora, S3) • Build security monitoring, alerting, and incident response procedures • Evaluate and mitigate security risks in customer data handling workflows • Work with engineering teams to embed security into the development lifecycle Requirements: • 4+ years in application security, infrastructure security, or security engineering • Experience with SOC 2, ISO 27001, or FedRAMP compliance frameworks • Strong knowledge of AWS security services and best practices • Experience with SAST/DAST tools, vulnerability management, and pen testing • Understanding of web application security (OWASP Top 10) Nice to Have: • CISSP, OSCP, or similar security certification • Experience with defense/government security requirements (ITAR, CMMC) • Background in securing ML or data pipeline infrastructure
Build the flagship web application that thousands of enterprise engineers and annotation specialists use daily. Mission Control is a Flutter/WASM web app with multi-sensor 3D visualization, real-time collaboration, and sophisticated data management — pushing the boundaries of what's possible in the browser. What You'll Do: • Build complex UI features for 3D/4D data visualization and annotation workflows • Develop real-time collaborative editing and multi-window layout systems • Optimize performance for WebAssembly builds handling large sensor datasets • Implement BLoC state management patterns for complex async workflows • Work closely with Product Design to ship polished, production-grade interfaces • Contribute to shared Dart packages used across web and mobile apps Requirements: • 4+ years building production web applications with modern frameworks • Strong TypeScript or Dart experience (Flutter strongly preferred) • Experience with WebGL, WebGPU, or browser-based 3D rendering • Understanding of state management patterns (BLoC, Redux, or similar) • Performance optimization experience — profiling, lazy loading, worker threads Nice to Have: • Experience with Flutter for web (WASM compilation) • Familiarity with annotation tools or developer platforms • Experience with Squadron/Web Workers for background computation
Build the serverless systems that orchestrate Avala's annotation sessions — matching tasks to annotators, managing work queues, and ensuring quality at scale across our global workforce of 15,000+ domain experts. You'll own the real-time workflow engine that powers production labeling. What You'll Do: • Design and build serverless functions (AWS Lambda, Step Functions) for session orchestration • Optimize task matching algorithms that assign work based on skill, quality, and availability • Build real-time monitoring dashboards for annotation throughput and quality metrics • Implement workflow automation for multi-stage QC review pipelines • Scale the sessions system to handle 10x growth in concurrent annotators • Collaborate with operations teams in SF and Nairobi to optimize workforce utilization Requirements: • 4+ years building production backend systems • Strong TypeScript and Node.js experience • Experience with serverless architectures (Lambda, SQS, Step Functions) • Knowledge of PostgreSQL, Redis, and distributed systems patterns • Experience with real-time systems or workflow orchestration Nice to Have: • Experience with workforce management or marketplace platforms • Familiarity with annotation or data labeling systems • Experience optimizing for latency-sensitive, high-throughput workloads
Own the product strategy for Avala's annotation platform — the tools and workflows that turn raw sensor data into production-grade training labels for Physical AI. You'll define the roadmap for 2D/3D/4D annotation tools, quality control pipelines, and the agentic labeling system that combines ML models with human expertise. What You'll Do: • Define and prioritize the annotation platform roadmap based on customer needs and market opportunity • Drive product strategy for agentic labeling — the ML-assisted pipeline that accelerates annotation 5x • Work with enterprise AV and robotics customers to understand perception data challenges • Collaborate daily with engineering, design, and operations to ship high-impact features • Analyze usage data and customer feedback to identify opportunities and measure success • Present product strategy and demos to prospects and at industry events Requirements: • 4+ years in product management for technical/developer platforms • Experience with ML, computer vision, or data infrastructure products • Strong technical fluency — you can read code, understand APIs, and discuss system architecture • Proven ability to balance customer needs with technical constraints and business goals • Excellent communication — you can present to engineers, executives, and customers equally well Nice to Have: • Experience in autonomous vehicles, robotics, or Physical AI • Familiarity with annotation/labeling workflows or ML training data • Experience with product-led growth and enterprise sales motions
Open and close Avala's defense and government accounts — the autonomous vehicle programs, drone platforms, and reconnaissance systems that need production-grade training data with the highest security standards. You'll be the first dedicated defense seller, building the playbook for a vertical that represents a massive growth opportunity. What You'll Do: • Build and manage a pipeline of defense and government opportunities from prospecting to close • Navigate complex procurement cycles including SBIR, OTA, and traditional contracting • Present Avala's platform capabilities to technical evaluators and program managers • Partner with solutions engineering to deliver compelling technical demonstrations • Develop account strategies for major defense primes and autonomous programs • Represent Avala at defense industry events (AUSA, NDIA, defense tech conferences) Requirements: • 4+ years selling technology solutions to defense or government buyers • Active Secret clearance or ability to obtain one • Understanding of defense procurement processes and contract vehicles • Experience selling to technical buyers (ML engineers, program managers) • Track record of closing $500K+ deals with complex multi-stakeholder sales cycles Nice to Have: • Existing relationships at defense primes or autonomous vehicle programs • Experience selling AI/ML, data infrastructure, or developer tools • Understanding of perception systems for defense autonomy programs
Drive execution across Avala's engineering, operations, and customer teams. You'll manage complex cross-functional programs — from enterprise customer onboarding to platform feature launches — ensuring on-time delivery with quality at Avala's rapid pace of growth. What You'll Do: • Coordinate cross-functional programs spanning engineering, operations, and GTM teams • Manage enterprise customer onboarding timelines and SLAs • Drive release planning and feature launch coordination across web, mobile, and backend • Identify and mitigate risks in complex multi-team initiatives • Establish program management processes that scale with a fast-growing organization • Report on program health and key metrics to leadership Requirements: • 4+ years in technical program management or engineering project management • Experience managing cross-functional programs in B2B SaaS or platform companies • Strong technical literacy — you can navigate codebases, read architecture docs, and ask the right questions • Proven ability to manage competing priorities and stakeholder expectations • Excellent written and verbal communication Nice to Have: • Experience in autonomous vehicles, robotics, or ML infrastructure • PMP or Agile certification • Experience with globally distributed teams
Be the voice of Avala in the Physical AI developer community. You'll create technical content, build SDK integrations, and help robotics and AV engineers get the most out of Avala's platform — from the Python SDK to the annotation API. What You'll Do: • Create technical tutorials, sample code, and documentation for Avala's SDKs and APIs • Present at conferences, meetups, and webinars on Physical AI data infrastructure • Build demo applications and reference architectures for common AV/robotics workflows • Engage with the developer community on GitHub, Discord, and forums • Provide feedback from developers to the product and engineering teams • Contribute to open-source tools and format specifications in the Physical AI ecosystem Requirements: • 3+ years as a developer advocate, solutions engineer, or technical content creator • Strong programming skills in Python and TypeScript • Experience with ML workflows, computer vision, or robotics • Excellent public speaking and technical writing skills • Active presence in developer communities Nice to Have: • Experience with ROS, MCAP, or autonomous vehicle data formats • Background in computer vision or perception engineering • Contributions to open-source ML or robotics projects
Lead Avala's global sales operations and build the go-to-market engine from the ground up. You'll own revenue targets, hire and develop the sales team, and shape the strategy that takes Avala from early enterprise customers to category leadership in Physical AI data infrastructure. What You'll Do: • Establish and scale global sales operations — process, tooling, and team • Build and lead the sales and customer success teams from 2 to 8+ people • Develop go-to-market strategy across marketplace and SaaS revenue streams • Own the enterprise sales pipeline and drive $5M+ ARR growth • Build relationships with VP/CTO-level buyers at AV and robotics companies • Drive data-informed decision-making with CRM, pipeline analytics, and forecasting Requirements: • 8+ years building growth systems in B2B SaaS startups • Proven track record of scaling revenue from $1M to $10M+ ARR • Experience selling technical products to engineering organizations • Leadership experience — you've hired, coached, and retained top sales talent • Hands-on approach — you'll carry a quota while building the team Nice to Have: • Experience in autonomous vehicles, robotics, or ML/AI infrastructure • MBA or equivalent strategic background • Network in the Physical AI ecosystem
Design and build the backend API stack for Avala's ML Ops platform — the Digital Assembly Line that orchestrates annotation workflows, manages petabytes of sensor data, and powers enterprise integrations. You'll set the technical direction for our Python/Django backend. What You'll Do: • Design and build RESTful APIs using Django REST Framework for dataset management, annotation workflows, and export pipelines • Architect large-scale data processing pipelines with Celery for LiDAR, camera, and radar data • Implement monitoring, deployment, and observability systems • Lead architecture decisions that power the Digital Assembly Line product • Optimize PostgreSQL queries and schema design for datasets with millions of items • Mentor junior engineers and establish backend engineering best practices Requirements: • 5+ years building production backend systems in Python (Django strongly preferred) • Docker, Kubernetes, and container orchestration experience • Strong SQL and database design knowledge • CI/CD pipeline experience (Buildkite, GitHub Actions, or similar) • Experience with distributed task queues (Celery) at scale Nice to Have: • Experience with AWS services (ECS, Aurora, S3, SQS) in production • Familiarity with ML data pipelines or annotation systems • Experience building developer tools or APIs
Develop 3D reconstruction and scene understanding solutions for autonomous vehicles and robotics. Create robust perception systems using NeRFs, Gaussian Splatting, and SLAM technologies. Scale our 4D labeling platform with cutting-edge spatial computing techniques. What You'll Do: • Develop 3D reconstruction pipelines using NeRFs, Gaussian Splatting, and multi-view stereo • Build real-time SLAM systems for autonomous vehicle and robotics perception • Create scene understanding models that parse complex driving and industrial environments • Implement spatial computing techniques for our 4D annotation platform • Optimize 3D pipelines for production-scale processing of fleet sensor data • Collaborate with the annotation team to improve 3D auto-labeling accuracy Requirements: • 3+ years in 3D vision, graphics, or spatial computing • Strong linear algebra and computational geometry fundamentals • Deep learning expertise with PyTorch or TensorFlow • Multi-view geometry and rendering pipeline experience • Published research or shipped production systems in 3D reconstruction Nice to Have: • Experience at an AV company (Waymo, Cruise, Tesla, Aurora) • Familiarity with ROS, sensor calibration, or LiDAR processing • Experience with real-time rendering or game engines
Design the user interfaces and experiences for Avala's annotation platform — the tools that robotics engineers use to visualize, label, and ship ground truth data for Physical AI. You'll own the design system and shape how thousands of engineers and annotators interact with 3D/4D data. What You'll Do: • Design user interfaces for Mission Control (Flutter web app) and annotation tools • Define and maintain the Avala design system — components, patterns, and guidelines • Lead user research and usability testing with enterprise customers and annotation teams • Create prototypes and high-fidelity designs in Figma • Collaborate cross-functionally with engineering, operations, and product teams • Design data visualization experiences for complex 3D/4D sensor data Requirements: • 3+ years of product design experience with a strong portfolio • Figma proficiency — components, auto-layout, prototyping • Understanding of HTML, CSS, and frontend development constraints • UX methodology and user-centered design knowledge • Experience designing data-heavy or technical applications Nice to Have: • Experience designing 3D visualization or spatial interfaces • Familiarity with design systems at scale • Experience in developer tools, data platforms, or B2B SaaS
Own the ML models that power Avala's auto-labeling pipeline — from point cloud segmentation to 4D temporal tracking. You'll ship models that run at 89% accuracy today and push toward 95%+, directly reducing the human effort required to create ground truth data for Physical AI. What You'll Do: • Design, train, and deploy perception models for 3D point cloud and multi-sensor annotation (LiDAR, camera, radar) • Build and improve the auto-labeling pipeline that currently achieves 89% accuracy across cuboid, polygon, and segmentation tasks • Develop temporal tracking models for 4D annotation — predicting object trajectories across sequential frames • Optimize model inference for real-time performance in the browser via WebGPU compute shaders • Collaborate with the annotation operations team to identify high-impact model improvements using production QA data • Build evaluation frameworks and A/B testing infrastructure for model quality measurement Requirements: • 5+ years of production ML experience, with at least 2 years in 3D perception, point cloud processing, or autonomous vehicle perception stacks • Strong experience with PyTorch and production model serving (SageMaker, TorchServe, or equivalent) • Deep understanding of 3D computer vision: point cloud segmentation, object detection, multi-sensor fusion • Experience with temporal models (tracking, prediction) is highly valued • Published research or shipped production systems in 3D perception Nice to Have: • Experience at an AV company (Waymo, Cruise, Tesla, Aurora, Zoox, Nuro) • Familiarity with Gaussian Splatting or neural radiance fields • Experience with WebGPU or GPU compute for ML inference in the browser
Build the GPU-accelerated visualization engine that lets engineers see their robot's world in photorealistic 3D — directly in the browser. You'll work on WebGPU rendering, Gaussian Splatting, point cloud visualization, and real-time 4D temporal navigation at the cutting edge of browser graphics. What You'll Do: • Develop and optimize WebGPU rendering pipelines for point cloud visualization, mesh rendering, and Gaussian Splatting • Build GPU compute shaders for real-time point cloud processing — frustum culling, level-of-detail, radix sorting • Implement multi-sensor fusion visualization — overlaying camera images, LiDAR point clouds, and radar data in a unified 3D scene • Optimize rendering performance for datasets with 100M+ points using buffer pooling, render bundle caching, and GPU-driven rendering • Build temporal navigation systems for 4D data — scrubbing through time-series sensor data at interactive frame rates • Contribute to the Dart/Flutter WebGPU bindings and Three.js integration layer Requirements: • 4+ years of graphics programming experience (WebGPU, WebGL, Vulkan, Metal, or DirectX) • Strong understanding of GPU architecture, shader programming (WGSL, GLSL), and rendering pipelines • Experience with 3D math — linear algebra, quaternions, projective geometry, spatial data structures • Familiarity with point cloud rendering or large-scale 3D visualization • Performance optimization mindset — profiling, GPU timing, memory management Nice to Have: • Experience with Gaussian Splatting or neural rendering techniques • Familiarity with Flutter, Dart, or JS interop for WebGPU • Background in robotics visualization, autonomous vehicles, or game engines
Own Avala's AWS infrastructure end-to-end — from Terraform modules and ECS deployments to Aurora databases and CI/CD pipelines. You'll ensure the platform scales reliably as we grow from startup to serving the largest AV and robotics companies in the world. What You'll Do: • Manage and evolve Terraform infrastructure across production and development AWS environments • Operate and scale ECS Fargate services, Aurora PostgreSQL clusters, and Redis infrastructure • Build and maintain CI/CD pipelines (Buildkite) for server, Flutter web, and serverless deployments • Implement monitoring, alerting, and observability using CloudWatch, Sentry, and custom dashboards • Design and execute disaster recovery procedures, backup strategies, and security hardening • Optimize cloud costs as data volumes and customer count scale Requirements: • 4+ years of infrastructure / DevOps / platform engineering experience • Strong Terraform experience — modules, state management, Terraform Cloud workflows • Deep AWS knowledge — ECS, RDS/Aurora, S3, CloudFront, IAM, VPC networking • Experience with container orchestration and Docker in production • Solid understanding of networking, TLS, DNS (Cloudflare), and CDN configuration Nice to Have: • Experience with PostgreSQL administration (Aurora specifically is a plus) • Familiarity with serverless (Lambda, API Gateway, Step Functions) • Experience scaling infrastructure for data-intensive applications
Work across the entire Avala product surface — from the Flutter web application and annotation tools to the Django API and React marketing sites. You'll ship user-facing features end-to-end, from database schema to polished UI. What You'll Do: • Build features across the Flutter web application (Mission Control) — dataset management, project workflows, annotation tools • Implement Django API endpoints and Celery tasks to support new product features • Develop and maintain React/Next.js sites (marketing, learning, investor portal) • Build SDK features and developer-facing tools (Python SDK, TypeScript SDK, MCP server) • Collaborate with design and product to ship polished, accessible user experiences • Write tests and maintain code quality across Flutter, Python, and TypeScript codebases Requirements: • 3+ years of full-stack engineering experience • Proficiency in at least two of: Flutter/Dart, Python/Django, TypeScript/React • Experience building production web applications with modern frameworks • Comfort working across frontend and backend boundaries • Strong product sense — you care about the end-user experience, not just the code Nice to Have: • Experience with Flutter for web (WASM compilation) • Familiarity with BLoC state management or similar reactive patterns • Experience building developer tools or SDKs
