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Director Software Engineer Startup Jobs in Nevada

Tillster

Senior Software Engineer - Back End

Las Vegas, NV · On-site

$150K - $165K/yr

Role: Senior Software Engineer - Back End Hybrid Role, MUST BE BASED IN SAN DIEGO, CA About ... Direct payment-terminal / POS integration experience (Verifone, Ingenico, Adyen, Shift4, FreedomPay ...

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Director Software Engineer Startup information

What does a director software engineer do at a startup?

A Director Software Engineer at a startup leads and manages the engineering team, overseeing the development and delivery of software products. They set technical direction, ensure best practices, and collaborate closely with founders and other departments to align technology with business goals. This role often involves hands-on coding, mentoring junior engineers, and making key architectural decisions. Directors at startups must be adaptable, balancing strategic planning with the fast-paced demands of startup growth.

What is the difference between Director Software Engineer Startup vs Lead Software Engineer?

AspectDirector Software Engineer StartupLead Software Engineer
ResponsibilitiesOversees multiple teams, strategic planning, and project alignmentLeads a specific team or project, technical mentorship
Required CredentialsBachelor's/Master's in CS or related, extensive experienceBachelor's/Master's in CS or related, strong technical background
Work EnvironmentStartup setting, cross-functional collaborationStartup or tech company, hands-on technical work
FocusStrategic leadership, team managementTechnical excellence, project delivery

The main difference between a Director Software Engineer Startup and a Lead Software Engineer lies in scope and focus. The Director typically manages multiple teams and handles strategic planning, while the Lead focuses on technical leadership within a specific team or project. Both roles require strong technical credentials, but the Director's role emphasizes leadership and organizational skills in a startup environment.

What are some common challenges faced by a director software engineer at a startup, and how can they be addressed?

As a Director Software Engineer at a startup, you may encounter challenges such as balancing hands-on technical work with managerial responsibilities, scaling the engineering team rapidly, and adapting to shifting business priorities. It’s important to establish clear communication channels, set achievable milestones, and foster a collaborative culture to keep the team aligned. Leveraging agile methodologies and regularly reviewing technical debt can help maintain product quality while meeting fast-paced deadlines. Building strong relationships with other departments, such as product and design, also ensures that engineering efforts are strategically aligned with the company’s goals.

What are the key skills and qualifications needed to thrive as a director software engineer at a startup?

To thrive as a Director Software Engineer at a startup, you need deep expertise in software architecture, coding best practices, and team leadership, often supported by a degree in computer science and significant engineering experience. Familiarity with agile methodologies, cloud platforms (such as AWS or GCP), and project management tools is typically required, along with experience in scaling systems. Exceptional communication, strategic thinking, and the ability to motivate and mentor a diverse team set standout leaders apart in this role. These skills are vital for driving innovation, ensuring technical excellence, and fostering a high-performing engineering culture in a fast-paced startup environment.
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Director Software Engineer Startup jobs near you

Software Engineer - ML/Computer Vision (Battery Sorting)

Redwood Materials

Mccarran, NV • On-site

Full-time

Re-posted 15 days ago

Redwood Materials rating

7.6

Company rating: 7.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

23rd of 90 rated recycling and waste

Job description

Software Engineer, ML/Computer Vision (Battery Sorting)

The Battery Sorting team at Redwood Materials is building a world-class, ML-enabled sorting platform that uses computer vision and machine learning to classify and route thousands of end-of-life batteries per hour across diverse chemistries and form factors. This role sits at the intersection of software engineering and machine learning, with direct ownership of the production systems powering automated battery sorting on the factory floor. The ideal candidate is equally comfortable debugging a production incident as iterating on a model, and will have the opportunity to generate patents in automated battery classification. This is a high-impact, highly visible role with immediate real-world application in advancing the energy transition.

Hours

Full-time | Schedule may vary depending on site operational needs; flexibility required

Responsibilities will include:

  • Develop, test, and maintain production software systems powering automated battery sorting, spanning ML inference, image acquisition, sensor integration, and hardware-adjacent control interfaces
  • Train and deploy computer vision models for battery chemistry classification, including dataset annotation, preprocessing, and evaluation within established data pipelines
  • Build and maintain services and APIs that connect ML outputs to downstream systems including MES, HMI, and PLC/controls interfaces
  • Own observability across the production software stack through structured logging, metrics dashboards, alerting, and on-call triage for inference pipelines and supporting services
  • Monitor model performance in production to catch regressions or distribution shifts and drive iterative improvements through data analysis and retraining
  • Contribute to infrastructure-as-code and CI/CD workflows to validate, version, and deploy application code and ML model artifacts to production environments
  • Collaborate cross-functionally with Controls, Hardware, Manufacturing, DevOps, and IT teams to translate operational needs into software and model improvements

Desired Qualifications:

  • B.S. in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience
  • 2+ years of industry experience working with machine learning models, preferably in computer vision
  • Hands-on experience with ML frameworks and libraries such as PyTorch and OpenCV
  • Experience contributing to production codebases and pipelines with an emphasis on clean, well-documented, and well-tested code
  • Experience designing and tracking ML experiments using tools such as MLflow
  • Familiarity with edge deployment or model optimization techniques for inference (e.g., quantization, TensorRT, ONNX Runtime) in latency-sensitive or resource-constrained environments
  • Experience with OCR, image classification pipelines, or multi-sensor and multimodal fusion
  • Experience working in or alongside industrial, manufacturing, or operations environments where software interacts with physical systems
  • Strong cross-functional communication skills and ability to prioritize and execute in a fast-paced, dynamic environment
  • A passion for sustainability and making the world a better place!

Working Conditions:

  • Factory floor environment; work schedule may vary depending on site operational needs and flexibility is required
  • Willingness and ability to travel to Reno, NV as needed
  • Additional working conditions to be confirmed with Hiring Manager

What Redwood Materials employees say

Pay

Hours and flexibility

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