Backend Software Engineer

OSARO; San Francisco (CA); Presencial; USD 120.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health, dental, vision benefits

Generous vacation time

Parental leave policy

Descripción de la vacante

OSARO is hiring a Backend Software Engineer in the San Francisco Bay Area to build and maintain the backend infrastructure for autonomous robotics and AI-powered industrial applications. You will work across ML, robot control software, and DevOps teams to deliver scalable data pipelines and backend services that enable complex pick-and-place tasks.

The role emphasizes distributed systems, data stores, and cloud/cluster management, with opportunities to influence architecture and drive deployment

Formación

• BS or MS in Computer Science.
• 1-3 years of relevant backend experience.
• Strong knowledge of distributed computing and systems design.
• Experience programming in Python.
• Shell scripting, Linux system administration and debugging.
• Experience with relational and non-relational databases and data pipelines at scale.
• Knowledge of networking concepts and debugging skills.
• Eligible to work in the U.S. (H1B sponsorship available).

Responsabilidades

• Diagnose network bottlenecks and contribute to data stores of training data.
• Design and implement backend systems to manage autonomous robots.
• Build and support compute clusters for ML model training.
• Develop and maintain backend for internal and customer-facing web services.

Conocimientos

Distributed computing

Python

Shell scripting

Linux administration

Databases

Networking

Educación

BS or MS in Computer Science

Herramientas

PostgreSQL

MongoDB

BigQuery

Flask

Django

React

Terraform

Ansible

SaltStack

GRPC

Avro

OAuth

LDAP

NFS

Ceph

S3

Descripción del empleo

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Actual compensation is based on various factors, including but not limited to job-related skills, and experience. In addition to a base salary, this role is also eligible for benefits and equity.