IT Systems Engineer at Stable Auto

Troy, Michigan, United States

Stable Auto Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AutomotiveIndustries

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field (Master's degree preferred)
  • 5+ years of experience in systems engineering
  • Strong knowledge of Linux (RHEL, CentOS, Ubuntu) and Windows Server administration
  • Expertise in cloud integration (Azure, AWS) and hybrid computing strategies
  • Proficiency in scripting (Python, Bash, PowerShell) and automation frameworks
  • Familiarity with networking (InfiniBand, Ethernet, VPNs, firewalls) and storage (Lustre, GPFS, SAN/NAS)
  • Excellent communication skills with the ability to work across engineering and IT teams
  • Ability to travel (up to 10%)
  • Ability to lift up to 35 pounds
  • Ability to stand, walk, and perform repetitive tasks for extended periods

Responsibilities

  • Manage enterprise systems including Windows, Linux, and hybrid cloud platforms (Azure, AWS)
  • Oversee Active Directory, identity management, virtualization (VMware, Hyper-V), and enterprise storage/backup solutions
  • Monitor system health, capacity, and performance, ensuring 24/7 reliability for mission-critical environments
  • Develop scripts and automation (Python, Bash, PowerShell) to improve system efficiency and reduce manual intervention
  • Implement cybersecurity best practices across enterprise systems, ensuring compliance with ISO 27001, NIST, and industry standards
  • Support disaster recovery planning, patching, and vulnerability remediation
  • Partner with engineering, manufacturing, and IT teams to deliver robust solutions for MES, ERP, and PLM integration
  • Provide Tier 3 support for enterprise applications and system escalations
  • Document system designs, configurations, and operational procedures

Skills

Windows
Linux
Azure
AWS
Active Directory
VMware
Hyper-V
Python
Bash
PowerShell
ISO 27001
NIST
MES
ERP
PLM

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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