About Technosylva
Technosylva is a global leader in wildfire and extreme weather risk mitigation software. The Company’s market-leading solutions, enhanced by AI and machine learning capabilities, provide real-time and predictive insights to support electric utility, insurance and government agency customers.
Technosylva has provided critical solutions for the past 26 years. In 2022 the organization entered a period of significant growth and transformation with investment from TA Associates, a leading growth PE firm, scaling to about 225 employees and offering its product in over 10 countries. In 2024 General Atlantic, a leading global growth investor, announced a strategic growth investment in Technosylva to support the company in its mission.
Role Overview
We are hiring a backend-focused Senior Software Engineer to build and optimize the high-performance services and compute models at the core of our platform. This role combines strong systems and backend engineering with advanced numerical and parallel-computing expertise. You will design robust services and APIs while also writing the highly optimized, concurrent code that makes large-scale simulation fast and accurate. It is an ideal fit for an engineer who is equally comfortable reasoning about service architecture and squeezing performance out of compute- and memory-intensive workloads.
Responsibilities
- Design, build, and maintain backend services and APIs (REST/gRPC or equivalent).
- Model, optimize, and maintain relational and non-relational databases — schema design, query tuning, and data integrity.
- Implement and troubleshoot inter-process communication (IPC, messaging, and service-to-service protocols).
- Develop primary backend systems in C# and Java.
- Design and implement highly optimized compute models in C++.
- Apply synchronization, concurrency, and multi-processing techniques to maximize throughput and correctness.
- Profile, benchmark, and optimize performance-critical code paths.
- Translate mathematical and algorithmic requirements into efficient, production-grade code.
- Participate in architecture decisions, code reviews, and technical mentorship.
- Write clean, testable, well-documented code and contribute to CI/CD practices.
Requirements
Required
- Strong proficiency in C# and Java for backend development.
- Strong C++ skills for high-performance compute work.
- Solid understanding of concurrency, synchronization primitives, threading, and multi-processing.
- Strong mathematical proficiency — numerical methods, linear algebra, or applied math relevant to compute models.
- Experience with API design, database design, and IPC mechanisms.
- Proven ability to profile and optimize compute- and memory-intensive workloads.
Preferred Qualifications
- Experience with parallel and high-performance computing — multithreading at scale, SIMD/vectorization, GPU (CUDA/OpenCL), or distributed compute (MPI).
- Background in scientific, geospatial, simulation, or physics-based modeling domains.
- Familiarity with cloud infrastructure and containerized deployment (AWS/Azure/GCP, Docker, Kubernetes).
- Experience building and operating low-latency, high-throughput data or compute pipelines.
- Working knowledge of observability, testing, and performance-regression practices for production systems.
Skills Required
- Strong proficiency in C# and Java for backend development
- Strong C++ skills for high-performance compute work
- Understanding of concurrency, synchronization primitives, threading, and multiprocessing
- Strong mathematical proficiency in numerical methods, linear algebra, or applied mathematics
- Experience with API design, database design, and IPC mechanisms
- Ability to profile and optimize compute- and memory-intensive workloads
- Experience with parallel and high-performance computing, including multithreading, SIMD/vectorization, GPU computing, or distributed compute
- Background in scientific, geospatial, simulation, or physics-based modeling
- Familiarity with cloud infrastructure and containerized deployment
- Experience building and operating low-latency, high-throughput data or compute pipelines
- Working knowledge of observability, testing, and performance-regression practices
What We Do
Technosylva is the leading provider of wildfire and extreme weather risk mitigation solutions for electric utilities and fire agencies. Since 1997, we've operationalized wildfire science to support critical decisions that enhance daily operations and long-term planning. Our mission is to reduce the impact of wildfires and extreme weather through real-time insights and predictive modeling. Our solutions combine the best source data and science, cutting edge AI and modeling, operationally proven application software, and industry-leading scientists and experts to support the most complex and important decisions made by utilities and fire agencies. Follow us here on LinkedIn for: • Actionable insights on wildfire risk and other extreme weather • Use cases from electric utilities and fire agencies worldwide • How to apply tech-enabled decision support for public safety and infrastructure • Collaboration models for coordinated wildfire and weather response Whether you’re responding in real time or just getting started with a wildfire and extreme weather plan, we’re here to help you make informed, effective decisions.
