Develop backend infrastructure, data pipelines, web services, and fleet-management systems for autonomous industrial robots. Responsibilities include designing data stores for video and training data, supporting machine-learning compute clusters, maintaining customer-facing services, and diagnosing network issues. The role partners with machine learning, robot control, and DevOps teams and requires Python, distributed systems, databases, Linux, networking, and scalable data-processing experience.
We are searching for a Backend Software Engineer to help us develop AI-based autonomous industrial robotic solutions and integrate them with our customers’ complex software management environments. As a Backend Software Engineer, you will design, develop, and deploy the critical infrastructure needed to support a range of industrial automation applications. In this role, you will partner with the Machine Learning, Robot Control Software, and DevOps teams to craft an efficient software platform and data pipeline that supports our core backend systems.
At OSARO we develop solutions to endow industrial robots with the level of autonomy needed to perform an unprecedented variety of complex pick and place tasks leveraging sophisticated robot control and neural network-based perception algorithms. You are passionate about what you build, you feel a strong sense of ownership, and you love dynamic challenges. You care deeply about your team, you’re direct and you believe in doing what you say.
What You'll be Doing
- You will contribute to a variety of projects from diagnosing network bottlenecks to helping design, build, and improve our data stores of thousands of hours of video and training data
- You will design and implement backend systems to manage our growing fleet of autonomous robots
- You will build and support compute clusters for training our machine learning models
- You will develop and maintain the backend for internal and customer-facing web services.
Experience and Skills You'll Need
- BS or MS in Computer Science and 1-3 years of relevant experience
- Strong knowledge of distributed computing and systems design
- Experience programming in Python
- Working knowledge of shell scripting, Linux system administration and debugging, and backend automation frameworks
- Good knowledge of databases (relational and otherwise) and experience with building and managing data processing pipelines at scale
- Knowledge of fundamental networking concepts and ability to debug and diagnose network issues
- Legal authorization to work in the U.S. is required (we do sponsor H1B transfer).
Technologies We Use
- TensorFlow
- Kubernetes, Docker Compose, Helm
- PostgreSQL, MongoDB, BigQuery
- Flask, Django, React
- Terraform, Ansible, SaltStack
- GRPC, Avro
- OAuth, LDAP
- NFS, Ceph, S3
- CI & CD platforms
- Prometheus, CollectD, Grafana
- OpenVPN, IPSec, Wireguard
Bonus if you have
- Experience working with large data sources and preprocessing data
- Experience with managing clusters on major cloud providers (AWS, GCP)
- Experience with Docker and Kubernetes
More About OSARO
OSARO is a San Francisco-based startup company applying deep learning technology to next-generation robotics applications. Some of Silicon Valley’s leading investors, including Peter Thiel, Jerry Yang, and Scott Banister have backed OSARO. Our vision is to build brains for robots on an industrial scale and we are excited and driven to see the results of our efforts operating in and interacting with the real world. We implement state-of-the-art techniques but constantly strive to build the simplest possible solution. OSARO is technique agnostic and always focused on the goal. We regularly review academic literature and techniques while steering clear of the hype. We’re focused on delighting our customers with systems that work like magic.
We have a highly international team made up of expert machine learning practitioners and dedicated software and hardware engineers which match well with the global nature of our business. We are naturally curious, love healthy debate, and respect varying points of view. At OSARO, we strive to be champions for equality. We believe we can serve as a model for diversity in the tech industry by emphasizing policies of nondiscrimination and inclusion at every step.
We are an equal opportunity employer offering
- Health, dental, vision, and commuter benefits
- Generous vacation time
- Excellent paid parental leave policy with the option for additional reduced and unpaid leave
- The chance to work with robots in a dog friendly office!
The above full-time position is available immediately. You should be willing to move to the SF Bay Area. We do not work with recruiters.
Osaro San Francisco, California, USA Office
1245 Folsom Street, San Francisco, CA, United States, 94103
Similar Jobs
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Build and operate high-throughput backend services for AI agent orchestration, calendar and scheduling, real-time data pipelines, APIs, and integrations. Design scalable platform infrastructure using Go, PostgreSQL, Kubernetes, and cloud services. Collaborate with AI, product, and frontend teams, contribute to infrastructure as code, testing, reliability, and documentation, and mentor junior engineers.
Top Skills:
AWSAzureCi/CdClaude CodeCopilotCursorGCPGoInfrastructure As CodeKubernetesLlmsPostgres
Cloud • Digital Media • News + Entertainment • On-Demand
Build and operate Philo’s ML and LLM infrastructure, including AWS and Kubernetes platforms, GPU scheduling, model serving, inference optimization, monitoring, evaluation, experimentation, and CI/CD. The role establishes infrastructure best practices, reliability, security, scalability, and Infrastructure as Code while supporting recommendation, video classification, and agent workloads. It also involves collaborating with engineers and vendors to deploy, instrument, and manage production systems.
Top Skills:
AirflowAlbAmazon BedrockAnthropicAWSC++CloudFormationCloudwatchDagsterDatadogDnsDockerDvcElasticacheElbElkFeastFluentdGitlabGoGrafanaHTTPIamInfluxdbJavaScriptJenkinsKubeflowKubernetesLakefsLinuxLitellmMetaflowMlflowNlbNvidia TritonOpenaiPgvectorPineconePrometheusPythonRagRayRdsRoute 53RubySqsTcp/IpTectonTensorrt-LlmTerraformTgiTickTypescriptVllmVpcWeaviateWeights & Biases
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build reliable backend software features and services for Atlassian’s Focus Funds and AI team. Responsibilities include developing REST APIs, configuring backend service monitoring, creating CI/CD pipelines, and integrating platforms with Atlassian’s content management system.
Top Skills:
Artificial IntelligenceBackend ServicesCi/CdContent Management SystemsMonitoringRest Apis
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



