Striveworks

HQ
Austin, Texas, USA
Total Offices: 2
73 Total Employees
42 Product + Tech Employees
Year Founded: 2018

Offices at Striveworks

Striveworks is headquartered in Austin, Texas, USA and has 2 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible

U.S. Office Locations

HQ
Austin, Texas, USA

Striveworks is located in Austin Oaks' 38-wooded acres at the corner of Spicewood Springs Road and MoPac Expressway, less than a mile away from 50+ locally owned retail shops and restaurants for after-work fun. It's just minutes from Anderson Lane Retail, The Domain, Arboretum, and Downtown Austin.

Vass, North Carolina, USA

200 Seaboard Street, Vass, NC, United States, 28394

Recently posted jobs

14 Hours Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
Artificial Intelligence • Big Data • Computer Vision • Machine Learning • Analytics • Defense
As a Senior Site Reliability Engineer, you will manage and optimize deployments of Striveworks' software solutions, utilizing Infrastructure-as-Code methodologies and automating environments. Your role will include working with teams to build customer solutions, handling incidents, and ensuring system reliability and performance across various cloud and on-premise infrastructures.
15 Days Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
Artificial Intelligence • Big Data • Computer Vision • Machine Learning • Analytics • Defense
The Resource Coordinator at Striveworks will manage engineering resources across various projects, ensuring effective utilization and assisting in the decision-making process. Responsibilities include collaborating with stakeholders, maintaining reports and dashboards, resolving resource challenges, and partnerships with engineering leadership.
20 Days Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
Artificial Intelligence • Big Data • Computer Vision • Machine Learning • Analytics • Defense
As a Senior Software Engineer at Striveworks, you'll develop, deploy, and maintain production ML models using Go and Python. Key responsibilities include designing scalable services, leading the software development life cycle, and mentoring junior engineers, all in a hybrid work setting.