[Remote] Mobile SDE II at Stable Auto

Washington, United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

Bachelor of Science in Computer Science or equivalent work experience
4+ years of professional experience in full-stack mobile software development – Android or modern web browsers and services, mainly in Java in a Linux or Unix environment
4+ years of programming experience with at least one modern language, such as C++
2+ years of professional experience developing a consumer-facing production mobile application
2+ years of professional experience contributing to the architecture and design of new and current systems
2+ years of professional experience with the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
1+ years of experience developing React Native applications (preferred)
1+ years of experience developing web applications with Next.js (preferred)

Responsibilities

Lead the definition, design, architecture, implementation, and delivery of Slate software
Code and test system components, leading code and design reviews
Own end-to-end code quality, system tests, functional tests, and integration
Relentlessly simplify, demonstrating significant innovation, creativity, and judgement when solving challenging problems
Collaborate with UX and product teams to build and invent new solutions and applications that put customers first
Be considered an authority on technical issues by the technical and business community and be frequently consulted for making difficult trade-off decisions
Drive awareness about the impact and consequences of technical decisions on the business, balancing technical leadership with strong business judgment to make the right long-term decisions about technology choices
Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members

Skills

Stable Auto

Optimizes charging infrastructure for electric vehicle fleets

About Stable Auto

Stable Auto optimizes the charging infrastructure for electric vehicle (EV) fleets, catering to logistics companies, public transportation agencies, and corporate fleets transitioning to electric vehicles. The company provides advanced software and consulting services that utilize machine learning and operations research to help clients identify the best locations for charging stations, determine optimal charging times, and minimize both capital and operational expenditures. By simulating real-world fleet behaviors, Stable Auto delivers actionable insights that enhance performance and reduce costs. Their revenue model includes subscription fees for their software platform and consulting fees for tailored advisory services. The team consists of experts in machine learning, operations, and energy, enabling them to offer practical solutions that improve fleet management.

San Francisco, CaliforniaHeadquarters

2017Year Founded

$18.4MTotal Funding

SERIES_ACompany Stage

Automotive & Transportation, Consulting, AI & Machine LearningIndustries

11-50Employees

Benefits

Flexible Work Hours

Remote Work Options

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Parental Leave

Risks

Increased competition from established players like Shell may limit market share.

Low utilization rates of EV chargers threaten the profitability of infrastructure investments.

Rapid growth in public fast charging sites may reduce demand for consulting services.

Differentiation

Stable Auto uses machine learning to optimize EV fleet charging infrastructure.

The company offers customized solutions tailored to each client's specific needs.

Stable Auto's team includes experts from top companies and academic institutions.

Upsides

Partnerships with companies like Blink Charging enhance Stable Auto's market presence.

The rise of vehicle-to-grid technology offers new revenue streams for fleet operators.

AI-driven predictive maintenance reduces downtime and maintenance costs for charging stations.

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