Echodyne

HQ
Kirkland
125 Total Employees
Year Founded: 2014

Echodyne Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers supplemental life insurance

Offers company equity

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Provides family medical leave

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid sick days

Provides paid holidays

Offers an Employee Assistance Program (EAP)

Company Culture

Office is pet friendly

Recently posted jobs

2 Days AgoSaved
In-Office
Kirkland, WA, USA
Software • Appliances
Build and architect a next-generation radar software platform, including asynchronous Rust backend services, APIs, real-time data models, React integrations, resilient offline-capable systems, observability, CI/CD, testing, and security hardening. Collaborate with product, UX, and engineering teams, mentor peers, lead design reviews, and advance algorithms and domain logic into high-performance production services for defense and automotive applications.
2 Days AgoSaved
In-Office
Kirkland, WA, USA
Software • Appliances
Develops system architectures for advanced radar prototypes, translating mission needs into requirements, interfaces, technical budgets, and verification plans. Leads cross-disciplinary trade studies spanning RF, digital, compute, calibration, power, thermal, mechanical, software, manufacturing, and test. Plans experiments and integration activities to retire technical risks, maintains architecture baselines and decisions, and guides prototype results into product-development transitions. Requires extensive systems architecture experience and eligibility to handle export-controlled technical data.
5 Days AgoSaved
In-Office
Kirkland, WA, USA
Software • Appliances
Develop and deploy machine learning capabilities for radar systems, including labeling automation, active learning, classification, tracking, data augmentation, and self-supervised models. Build training and evaluation pipelines, assess robustness across rare targets and field conditions, analyze failures, and integrate models into production radar products. Optimize accuracy, latency, computation, and reliability for embedded, resource-constrained systems.