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Senior Software Engineer
Senior Software EngineerThalo Labs • New York, NY, US
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Senior Software Engineer

Senior Software Engineer

Thalo Labs • New York, NY, US
[job_card.30_days_ago]
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  • [job_card.full_time]
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Job Description

Job Description
Senior Software Engineer

Heat pump and other HVAC failures cost billions in emergency repairs and wasted energy annually, and are managed by an increasingly short-handed labor pool. That’s where we step in: Thalo is transforming the HVAC industry with next-generation sensing and AI-powered intelligence. Our AI-powered platform transforms static assets into self-monitoring, high-performance systems, empowering technicians to shift from reactive fixes to proactive service.

Our team has built self-driving cars at Waymo, worked on satellite imagery at Google, designed systems for John Deere, developed space missions for NASA, led manufacturing design for Boom Supersonic jets, and more. We are united by our shared goal of making products that help us leverage the built environment to decarbonize today and accelerate drawdown globally!

About the Role:

As a Senior Software Engineer at Thalo Labs, you’ll operate as a hands-on builder, working directly with our head of Software Engineering to execute a software vision and roadmap. Software engineering isn’t just a part of what Thalo Labs does, it’s our most important product.

You’ll work with our small SWE team and report directly to our Director of SWE to define and drive our product roadmap and integrate ML models into Thalo’s platform.

What we offer:

- An immediate opportunity to make an impact fighting climate change with a mission-driven team.
- An in-person, collaborative culture. In our midtown Manhattan office, we not only have a stocked pantry but we also dedicate time to connect with each other during weekly happy hours and quarterly offsites.
- National subsidized healthcare plans for medical, dental, and vision insurance
- Additional benefits include a 401(k) program, 12 weeks paid parental leave, and paid time off
- At our ground-floor stage, our compensation structure places a strong emphasis on the value of high equity, with an annual base salary ranging from $140,000 - $180,000

What you’ll do:

- Own and execute Thalo’s software product strategy in partnership with your software engineering peers, and the hardware, leadership, and GTM teams
- Architect and develop AI enabled HVAC monitoring and analytics products that deliver automated insights to customers
- Research, develop, and implement ML models in production environments
- Continuously build and improve software infrastructure for large-scale data ingestion, storage, transformation, and analysis.


What you have:

- 5+ years of experience working as a software engineer
- Experience and knowledge working in a hardware-driven product ecosystem, such as autonomous vehicles, robotics, or IoT devices
- Experience developing, deploying, and managing large-scale web and data-intensive applications
- Experience researching and implementing ML models in customer facing productsComfort with our tech stack (React, Typescript, Python, Pandas, Django, Terraform, AWS, etc.,)
- Even if you don’t meet all the requirements listed above, we still encourage you to apply. We’re interested in meeting with a broad array of candidates

Bonus points if:

- A passion for tackling climate change and promoting sustainability
- BS in Computer Science or related field
- Background with containerized microservices and distributed systems
Commitment to Diversity, Equity, and Inclusion: Thalo Labs is committed to diversity and building an equitable and inclusive environment for people of all backgrounds and experiences. We think that a diverse team is critical to Thalo's success. We especially encourage members of traditionally underrepresented communities to apply, including women, people of color, LGBTQ+ people, veterans, and people with disabilities.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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