Forward-Deployed Engineer - Software Engineer w/ Backend Focus
About the job
- Experience owning a project from design through implementation.
- At least 5 years of experience working as a backend engineer.
- Proficiency in Python and Go.
- Strong SQL skills, including data querying and exploration.
- Ability to drive progress under tight deadlines.
- Self-motivation and a bias toward action.
- Prior experience working in small, agile teams.
- Expertise in at least one of the following: building and managing large-scale batch or real-time data pipelines; developing, monitoring, and iterating on production machine learning models; deploying and maintaining cloud infrastructure; or designing and implementing backend services.
- Follow security and privacy policy and procedure documents, and the guidelines in the Employee Handbook.
- Follow the OWASP Top 10 guidelines when implementing and reviewing code.
- Participate in new-hire and annual security and privacy training.
- Treat data security and privacy as a primary job responsibility.
- Report discovered security incidents as bugs.
- Obtain Security Team approval before adding third-party software to the codebase.
- Explicitly consider security implications during pull-request reviews.
- Build and maintain robust systems independently.
- Follow security and privacy policies and procedures.
- Follow OWASP Top 10 guidelines while implementing and reviewing code.
- Participate in new-hire and annual security and privacy training.
- Treat data security and privacy as a primary job responsibility.
- Report security incidents discovered as bugs.
- Obtain Security Team approval before adding third-party software to the codebase.
- Consider security implications explicitly during pull-request reviews.
- Leadership skills to attract, retain, and influence talented team members, and comfort mentoring less experienced engineers.
About the company
Viaduct analyzes connected vehicle data through a cloud platform powered by its patented TSI Engine. It uses AI to automatically process large data volumes to identify patterns and predict issues with vehicle components. Its applications include predictive maintenance, driver identification, and driver safety scoring for automotive manufacturers and other automotive ecosystem players. Practically, the TSI Engine ingests telematics and vehicle data, runs machine learning models in the cloud, and outputs insights and risk assessments that help schedule maintenance and improve safety. Viaduct differentiates itself with a patented engine and a cloud-based data analytics platform focused on connected vehicles, combining predictive maintenance with driver-related analytics. The company’s goal is to improve vehicle reliability and safety by turning data into actionable insights through machine learning and data analytics.
Company Size
51-200
Company Stage
Acquired
Total Funding
$21M
Headquarters
Menlo Park, California
Founded
2019
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Simplify's Take
What believers are saying
- SRI plans North American fleet predictive maintenance rollouts starting October 2025.
- SRI will expand Viaduct into Japan and Europe through its tire distribution network.
- Viaduct still runs independently under David Hallac, preserving roadmap continuity.
What critics are saying
- SRI integration slows Viaduct’s sales, hiring, and product releases in 2026.
- Samsara, Geotab, and OEM analytics stacks compress Viaduct’s standalone pricing power.
- If SRI prioritizes tire services, Viaduct becomes a feature, not a company.
What makes Viaduct unique
- TSI Engine turns telematics, service, and manufacturing signals into queryable failure graphs.
- Viaduct has analyzed data from over 2 million vehicles and 100 billion miles.
- Sumitomo Rubber closed its $104 million acquisition on October 1, 2025, validating demand.
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Benefits
- Remote Work Options