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.
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
Be the technical bridge between Avala's platform and our enterprise customers. You'll run technical evaluations, build integrations, and ensure every POC becomes a production deployment. Part sales engineer, part developer advocate, all problem solver. **What You'll Do:** • Lead technical evaluations and POCs with enterprise prospects — demonstrating platform capabilities with customer data • Build custom integrations, data pipelines, and SDK implementations tailored to customer workflows • Collaborate with Account Executives to qualify opportunities and shape technical proposals • Create technical documentation, demo environments, and reference architectures for common use cases • Provide post-sale technical support during onboarding, working alongside Customer Success • Feed product insights from customer interactions back to the engineering team **Requirements:** • 4+ years in solutions engineering, sales engineering, or technical consulting at a B2B SaaS company • Strong programming skills in Python — comfortable writing scripts, SDK integrations, and data pipelines • Experience with AWS (S3, IAM), REST APIs, and cloud data architectures • Excellent presentation and communication skills • Customer-facing engineering experience — you thrive in the intersection of code and conversation **Nice to Have:** • Experience with 3D data formats (point clouds, LiDAR, MCAP, ROS bags) • Familiarity with ML data pipelines, annotation workflows, or computer vision • Experience at a developer tools or data infrastructure company
Own the quality systems that deliver 99%+ first-pass yield to customers like Lucid Motors. You'll design QA processes, build quality metrics dashboards, and manage a distributed team of QA reviewers across multiple countries — ensuring every labeled frame meets production standards. **What You'll Do:** • Design and manage end-to-end quality assurance processes for annotation projects across 3D, 2D, and video modalities • Maintain 99%+ first-pass yield across all active customer projects through systematic QA workflows • Build and manage a team of QA reviewers across Kenya, Philippines, and India • Develop quality metrics dashboards and reporting for internal teams and customer-facing QBRs • Create and maintain annotation guidelines, calibration materials, and training curricula for new annotation types • Partner with ML Engineering to identify annotation patterns where auto-labeling can replace manual QA **Requirements:** • 3+ years in quality operations, quality engineering, or annotation management at a data labeling or AI company • Experience managing distributed teams across multiple time zones and countries • Strong analytical skills — you build dashboards, track metrics, and use data to drive process improvements • Excellent documentation skills — you can write clear, unambiguous annotation guidelines • Experience with at least one annotation type: bounding boxes, polygons, segmentation, or 3D cuboids **Nice to Have:** • Experience at Scale AI, Labelbox, Appen, or a similar data labeling company • Familiarity with LiDAR annotation and 3D perception quality standards • Experience with statistical quality control methods
Scale and manage Avala's 15,000+ annotator workforce across 6 countries. You'll own hiring, training, scheduling, and retention — while championing the people-first approach that gives Avala 85% retention vs. the industry's 50%. This role directly impacts thousands of lives. **What You'll Do:** • Manage and scale the annotator workforce across Philippines, Kenya, India, Pakistan, Nigeria, and Venezuela • Own hiring pipelines, onboarding programs, and training curricula for new annotators and QA reviewers • Design shift scheduling, capacity planning, and workforce allocation across customer projects • Drive retention above 85% through career progression paths, fair compensation, and workplace culture initiatives • Manage relationships with Avala Foundation training centers in Kenya, Haiti, and Sri Lanka • Build workforce analytics — tracking productivity, quality, retention, and cost metrics per region **Requirements:** • 4+ years in workforce management, BPO operations, or labor operations at scale (1,000+ workers) • Experience managing distributed teams across multiple countries and time zones • Strong operational instincts — you can balance quality, cost, and people outcomes simultaneously • Experience with workforce planning tools, scheduling systems, and payroll at scale • Genuine passion for fair labor practices and economic empowerment in developing markets **Nice to Have:** • Experience at a data labeling company (Scale AI, Appen, Sama, Samasource) • Familiarity with mobile payment systems and international payroll • Experience setting up physical training centers or BPO operations in East Africa or Southeast Asia
Own the post-sale relationship with Avala's enterprise customers — driving adoption, expansion, and retention. You'll be the voice of the customer internally, turning technical onboarding into long-term partnerships that grow year over year. **What You'll Do:** • Own onboarding and ongoing success for enterprise customers, ensuring time-to-value within the first 30 days • Drive net revenue retention above 130% through expansion, upsell, and deep account penetration • Build and maintain customer health scorecards, QBRs, and executive-level reporting • Serve as the customer advocate internally — channeling feedback to product, engineering, and operations • Develop scalable onboarding playbooks, documentation, and training materials • Identify and mitigate churn risk through proactive outreach and relationship management **Requirements:** • 3+ years in B2B SaaS customer success, account management, or technical account management • Experience managing enterprise accounts with $100K+ ACV • Strong communication skills — you can present to a CTO and write a clear status email with equal ease • Data-driven approach to customer health, with experience using CRM and CS platforms • Technical aptitude — comfortable learning APIs, SDKs, and data workflows **Nice to Have:** • Experience in developer tools, data platforms, or ML/AI infrastructure • Familiarity with autonomous vehicles, robotics, or perception engineering • Experience building a CS function from scratch at an early-stage startup
Close six- and seven-figure deals with the world's leading autonomous vehicle and robotics companies. You'll own the full sales cycle — from prospecting to close — for a product that engineers genuinely love using. Avala's first enterprise customer expanded 7x in 12 months. **What You'll Do:** • Own the full enterprise sales cycle from prospecting to close for AV, robotics, and Physical AI companies • Build and manage a pipeline of $100K–$1M+ ACV opportunities • Develop deep relationships with VP Engineering, Head of Perception, and CTO-level buyers • Partner with Solutions Engineering to run technical evaluations and POCs • Represent Avala at industry conferences (Actuate, GTC, ROSCon, SAE) and build market presence • Contribute to sales playbooks, pricing strategy, and competitive positioning as an early GTM hire **Requirements:** • 5+ years of enterprise B2B SaaS sales experience with a consistent track record of exceeding quota • Experience selling technical products to engineering teams • Proven ability to close $100K+ ACV deals with 3–9 month sales cycles • Strong executive presence and relationship-building skills at VP/CTO level • Self-starter comfortable building process from scratch at an early-stage company **Nice to Have:** • Experience selling into AV, robotics, or autonomous systems companies • Familiarity with ML/AI data infrastructure, annotation, or developer tools • Network in the Physical AI / robotics ecosystem
Scale Avala's neural network training infrastructure to handle the massive data requirements of Physical AI. Optimize training pipelines, implement efficient data loading, and ensure our ML systems can leverage petabytes of multimodal robotics and AV data. **Key Responsibilities:** • Design and implement high-performance neural network training infrastructure • Optimize training and evaluation code for maximum efficiency • Build data pipelines handling petabytes of autonomous vehicle and robotics data • Develop profiling and debugging tools for ML training systems • Implement distributed training across large GPU clusters • Work with research teams to enable rapid experimentation at scale **Requirements:** • 4+ years experience with ML infrastructure and training systems • Deep expertise in PyTorch or TensorFlow internals • Strong understanding of distributed computing and GPU optimization • Experience with large-scale data processing (petabyte+) • Proficiency in Python and C++ for performance-critical code • Knowledge of modern ML architectures (transformers, vision models) • Experience optimizing memory usage and training throughput
Build the data infrastructure that ingests, processes, and manages petabytes of sensor data from autonomous vehicle and robotics fleets. Design scalable pipelines that transform raw fleet data into high-quality training datasets for Physical AI. **Key Responsibilities:** • Design and implement large-scale data pipelines for fleet sensor data ingestion • Build systems to process video, LiDAR, radar, and IMU data streams • Develop auto-labeling pipelines using state estimation and 3D reconstruction • Create data quality monitoring and validation systems • Optimize storage and retrieval for petabyte-scale datasets • Collaborate with ML teams to deliver training-ready datasets **Requirements:** • BS in Computer Science or equivalent experience • 3+ years experience with large-scale data processing systems • Proficiency in Python; experience with Spark, Kafka, or similar frameworks • Experience with cloud infrastructure (AWS, GCP, or Azure) • Knowledge of video/image processing and sensor data formats • Familiarity with ML training data requirements and formats
Manage Avala's annotation operations team responsible for labeling images, video, and 3D point cloud data for autonomous vehicle and robotics AI training. Lead a team that creates the ground truth data powering next-generation Physical AI systems. **Key Responsibilities:** • Lead a team of annotation specialists labeling 2D/3D data for neural network training • Conduct ongoing performance management: coaching plans, progress tracking, monthly 1:1s • Drive annotation throughput while maintaining high quality standards • Collaborate with AI engineering to optimize annotation processes and tooling • Manage timekeeping, performance reviews, and team development • Create and maintain annotation guidelines and quality benchmarks **Requirements:** • 2+ years experience managing teams performing manual data operations • High attention to detail with appreciation for data integrity • Ability to manage time efficiently and prioritize tasks effectively • Strong problem-solving skills and ability to adapt in ambiguous environments • Effective communication skills - can explain complex topics clearly • Commitment to data accuracy and throughput metrics
Lead Avala's global data collection operations for Physical AI training. Manage distributed teams of annotation experts and coordinate data collection workflows across autonomous vehicle and robotics domains. Be the bridge between engineering requirements and operational execution. **Key Responsibilities:** • Plan and coordinate data collection schedules across global annotation teams • Monitor equipment health, annotation quality metrics, and team performance • Schedule and manage shifts for distributed annotation operators • Conduct regular data audits to identify and correct errors or discrepancies • Recommend and implement process improvements to enhance collection efficiency • Serve as point of contact between annotation teams and engineering **Requirements:** • 3+ years experience managing operations teams, preferably in data/ML ops • Experience managing and motivating distributed hourly teams • Strong problem-solving skills with aptitude for quickly learning new systems • Proven track record executing projects with sensitive deadlines • Experience managing multiple competing projects with limited resources • Highly flexible attitude that adapts to rapid changes in a growing environment
Build the multimodal training data infrastructure that powers Physical AI systems for autonomous vehicles and robotics. Design and implement large-scale data pipelines that process petabytes of video, sensor, and action data from our global network of annotation experts. **Key Responsibilities:** • Create multimodal training datasets from diverse robotics and AV data sources • Develop infrastructure for training large multimodal models at scale • Design data processing pipelines for video, LiDAR, radar, and sensor fusion • Build downstream evaluation systems to guide model tuning and dataset composition • Run scaling experiments for model size, dataset quality, and training efficiency **Requirements:** • 3+ years experience scaling and optimizing large AI models • Proficiency in Python with strong software engineering practices • Deep learning fundamentals: optimization, loss functions, neural network architectures • Experience with PyTorch, TensorFlow, or JAX • Strong expertise in distributed computing and parallel processing • Experience with petabyte-scale data processing pipelines
