Blue River Technology

HQ
Santa Clara
Total Offices: 2
182 Total Employees
Year Founded: 2011

Blue River Technology Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers occupational accident insurance

Provides adoption assistance

Offers generous parental leave

Provides family medical leave

Offers company equity

Offers employee discounts

Offers performance bonuses

Offers dental insurance

Offers vision insurance

Offers Health Savings Account (HSA)

Offers health insurance

Offers mental health benefits

Company Culture

Provides commuter benefits

Provides a mobile phone discount

Provides free snacks and drinks

Offers a remote work program

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid sick days

Provides military leave

Provides paid holidays

Provides bereavement leave

Offers unpaid extended leave

Offers an Employee Assistance Program (EAP)

Career Growth + Development

Provides tuition assistance

Artificial Intelligence • Software
Lead development of safety frameworks and V&V for end-to-end autonomous robotics, perform risk assessments and safety reviews, derive technical safety requirements, and coordinate cross-functional teams to monitor fleet performance and deploy scalable autonomy.
Artificial Intelligence • Software
Own the technical architecture, strategy, and roadmap for an autonomous construction robotics stack spanning localization, planning, controls, and safeguarding. Make build-versus-reuse-versus-buy decisions, design safety systems, guide integration and field validation, establish shared technical foundations across autonomy programs, and mentor engineers. The role requires architecting and shipping production autonomous systems, strong compiled-language software skills, broad systems judgment, and 10+ years of relevant experience.
Artificial Intelligence • Software
Develop and optimize computer-vision and deep-learning models (segmentation, depth) and end-to-end ML pipelines for perception. Own lifecycle from prototype to production deployment on edge and cloud, evaluate performance on large datasets, and collaborate with cross-functional teams to integrate perception into autonomous tractors.