Full-Time

Lead Backend Software Engineer

Digital Assembly Line

Avala AI

Avala AI

51-200 employees

AI-driven solutions provider for businesses

Compensation Overview

$100k - $165k/yr

+ Equity/Stock Awards

Palo Alto, CA, USA + 1 more

More locations: San Francisco, CA, USA

In Person

Category
Software Engineering (1)
Requirements
  • BS in Computer Science, Physics, Computer Engineering, Electrical Engineering or proof of exceptional skills in related fields or practical software engineering experience.
  • Strong knowledge of at least one programming language related to data engineering. Python is required.
  • Solid back-end experience in building RESTful Python applications.
  • Knowledge of various Python backend frameworks (e.g.Flask, Django, Tornado). Django is preferred.
  • Experience with SQL, both relational and non-relational databases (SQL Server, MySQL, Redis)
  • Experience working with Docker and container orchestration technologies such as Kubernetes
  • You understand how to create an efficient, reliable, scalable, and maintainable software architecture.
  • Hands on experience with CI/CD pipelines to deploy fast and often
  • Experienced in end-to-end development processes, including unit, integration & functional testing.
  • Good understanding of logging, monitoring and alerting system.
  • Experience with cloud computing such AWS EC2/S3/RDS is a plus.
  • Experience with ElasticSearch or other scalable search systems is a plus.
  • Experience with real-time data processing is a plus.
  • Exceptional communication skills, both oral and written.
Responsibilities
  • Take ownership of the architecture, design, development, deployment, and operations of the backend API stack you will develop, using software engineering best practices, and other cutting-edge methodologies
  • Design and implement large-scale data processing pipelines that handle a diverse set of Avala-related data such as images, videos, text, audio, neural networks, and human annotations.
  • Design and implement tools, tests, metrics, and dashboards to accelerate the development cycle of our model training.
  • Work closely with frontend engineers to seamlessly integrate with backend systems.
  • Influence architectural decisions with focus on security, scalability, reliability and high performance.
  • Setup and maintain monitoring, metrics & reporting systems for fine-grained observability and actionable alerting.
  • Collaborate with colleagues in design and code reviews.
  • Develop means for deploying, scaling, and monitoring software systems.
  • Characterize complex problems related to the scalability, reliability, performance, and security of the software.
  • Own projects and always seeks ways to improve efficiency and operations.
  • Contribute relevant, clean, concise quality documentation to Avalaโ€™s knowledge base to support/increase organizational information sharing.
  • Evangelize best practices in Software development and Software development lifecycle.
Desired Qualifications
  • Experience with AWS services such as EC2/S3/RDS/SQS.
  • Experience with big data systems such as Spark, Hadoop/MapReduce
  • Experience with scientific computing libraries such as numpy, pandas, or scikit-learn
  • In-depth knowledge of container orchestrators and cluster management software.
  • Experience with data stores and indexers like PostgreSQL, ElasticSearch, Redis.

Avala AI builds artificial intelligence solutions for businesses, focusing on AI-driven applications that can include interactive or visually engaging AI interfaces. Its products and services likely combine machine learning with real-time interactive design elements, possibly leveraging tools like Rive to create animated, responsive AI-driven experiences. The company works with clients across various industries to optimize operations, enhance customer experiences, and gain competitive advantages, typically through a service or subscription-based model as well as project-based engagements. What sets Avala AI apart is its emphasis on interactive, design-forward AI experiences (enabled by real-time visuals) that can be integrated into multiple business contexts, rather than a single-domain solution. The overall goal is to help organizations adopt AI to improve efficiency, decision-making, and user engagement across sectors.

Company Size

51-200

Company Stage

Seed

Total Funding

$4.2M

Headquarters

San Francisco, California

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • Autonomous vehicle market expansion: exhibiting at AV Tech Expo 2026 with 4D multi-modal labeling.[7]
  • Mission Control product captures entire AI Ops workflow from dataset curation through deployment.[1]
  • Programmatic access via Python SDK, REST API, CLI accelerates enterprise integration and adoption.[5]

What critics are saying

  • Customer concentration: loss of single major AV customer eliminates 30โ€“50% revenue with 66-person team.[7]
  • Funding cliff: $4.2M seed (April 2021), no Series A by April 2026; runway exhaustion imminent.[1]
  • Hyperscaler competition: AWS, Azure, Google offer managed labeling services undercutting Avala's pricing.[7]

What makes Avala AI unique

  • 4D Gaussian Splatting engine uniquely reconstructs physical scenes with physics-grade fidelity for autonomous vehicles.[4]
  • Vertically integrated platform unifies data ingestion, annotation, curation, QA, and model ops end-to-end.[4]
  • Managed workforce of 15,000+ enables 1 billion annotations daily with Human+AI hybrid quality gates.[7]

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Benefits

Competitive salary ($80k-165k)

Clear path for career growth

Company laptop

Unlimited PTO

Leveling up opportunities

Team bonding events

Stock options.

Remote friendly

Medical, dental, & vision insurance

Flexible parental leave

Flexible hours

Growth & Insights

Headcount

6 month growth

โ†‘ 1%

1 year growth

โ†‘ 0%

2 year growth

โ†‘ 27%