About Whisker Labs

We’re on a mission to save lives and property, leading the next wave in smart home technology and fire prevention with Ting. This intelligent sensor and concierge service monitors a home’s electrical network to detect electrical hazards that often lead to the most devastating and catastrophic fires. While on the job preventing fires inside a home, Ting also helps monitor the electrical grid, contributing to increased community fire safety and reduced environmental impact that comes with fire reduction. We’re steadfastly addressing the long-underserved realm of electrical fire prevention with leading-edge technology and embarking on the next stage of our growth. Visit tingfire.com for more information. 

About the Role:

Whisker Labs is seeking a Senior Performance Engineer to join our Data Science team (fully remote). This role will be the technical lead responsible for improving performance and efficiency for the suite of python applications that make up the Ting AI/ML algorithms and related web dashboards. Candidate will become an expert in running and scaling our applications as well as making improvements to support a rapidly growing customer base while also reducing the overall cost of running the applications.

As part of the team, you will be responsible for advancing Whisker Lab’s technology to detect early warning signs of electrical fires in homes, preventing one of the deadliest types of fires. The team’s primary focus is on developing algorithms, automation, and internal web-based tools to detect electrical fire hazards and enable our fire safety team to efficiently mitigate them. Whisker Labs is growing rapidly, but the team retains a high-energy, fast moving, creative culture.

You must have substantial experience in Python software development and cloud-based infrastructure required to run these systems.

Job Duties:

• Take ownership of the maintenance and improvement of current production applications and systems.
• Work with data scientists to deploy new data science algorithms in the cloud that are maintainable, well monitored and cost efficient.
• Improving efficiency of existing data science infrastructure (improved code, design, cloud usage)
• Delivering well-tested, secure code with IaC deployments
• Participating in software design, production-readiness, and code reviews
• Understanding of our stack in detail; collaborating with peers across teams
• Technical leadership of other team members.
  

Requirements:

• Degree in Computer Science, Computer Engineering, or other engineering discipline, combined with significant coursework or experience in software development.
• Expert in Python software development
• Experience designing software around networking, memory, CPU and GPU considerations. For example, multi-threading, and troubleshooting bottlenecks with network latency, multi-core cache contention, and GPU to CPU bandwidth.
• Experience developing and deploying scalable, robust, and cost-efficient systems.
• Independent, self-learner, excellent problem solver

Preferred Qualifications:

• Experience with a *nix-based development workflow (e.g. git, SSH, Make, shell scripting)
• Experience with a data-intensive technology stack
• Experience architecting cloud ecosystems (AWS preferred) and containerized services
• Experience in C# is not a requirement but creates opportunities to contribute at the interface of Data Science and other development teams.

What We Offer:

• Competitive salary + equity.
• The ability to make, own and carry out decisions.
• Health, dental, and vision insurance.
• 401(k) with match.

Whisker Labs is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.