• Support multiple projects in various development-stage phases from proposal through kickoff, design, delivery, and revision while maintaining schedules with other disciplines and a positive relationship with clients. • Provide expert-level knowledge of solar photovoltaic (PV) electrical design including string sizing, cable sizing, ampacity, 1500V DC, 34.5kV MV, and National Electric Code (NEC) requirements for utility-scale PV power plants. • Work with internal team and external clients to develop packages including solar array layouts, electrical one-lines, collection systems, collection system studies, and equipment installation details for Utility Scale Solar PV systems (50-500MW+). • Apply current, standard engineering techniques, procedures and criteria to complete engineering tasks, and support other civil, structural, and electrical design workflows as necessary on a case by case basis. • Contribute to continual development of internal solar engineering standards, toolsets and work processes. • Develop plans, details, and reports that are complete, accurate and in accordance with sound utility-scale renewables early-stage development engineering practices. • Work closely with and provide guidance to engineering technicians and design engineers. • Partner with clients to understand priorities and technical needs, then develop feasible valued engineered solutions that achieve project goals. • Check design and computations performed by internal design team and provide ideas and execute to promote higher quality designs. • Review development plans and specifications for constructability, safety, and risk considerations. • Work closely with marketing, sales, business development, and engineering staff across multiple markets and technical disciplines. • Demonstrate a wide degree of out-of-the-box thinking, creativity, and design ownership. • Lead site visits to gather notes and take pictures of existing conditions to aid in design and identify critical flaws.

Role Description In this Senior Software Engineer role at Branch, you will be responsible for developing core components on one of our Engineering pods. The ideal candidate will have strong experience in Java and microservices, with a focus on designing and optimizing scalable backend services and RESTful APIs. This position requires a solid foundation in computer science and a passion for upholding high engineering standards through code reviews and collaborative teamwork. - Measure and optimize the performance, scalability, and uptime of backend services - Demonstrate and promote a culture of engineering excellence - Conduct design and code reviews and push the bar for engineering rigor and standards - Collaborate with product management, customer success, and customer support to deliver the best experience for our users - Focus on consistent, cohesive REST APIs and domain driven service design to facilitate and orchestrate service contracts Qualifications - Attention to detail and passion for doing great work - 5+ years of experience in building clean, well architected, distributed, and scalable software - Strong computer science fundamentals, with deep knowledge of data structures, algorithms, and software design - Strong command of Java and Java based microservices with Spring Boot - Experience designing and supporting customer facing RESTful APIs - Design and implementation of relational database schemas running on PostgreSQL, MySQL, Oracle, or equivalent - Fluent with unit/integration testing concepts and tools including JUnit/Mockito, or equivalent - Experience with Docker, Kubernetes, git-flow, SonarQube for CICD a plus - BS in Computer Science or equivalent program Requirements - The salary range for this role is $160-170k. - The salary range displayed reflects an average base salary range for the position across all the U.S. - The base salary offered to an applicant could be higher or lower based on each applicant's specific skill set, depth of experience, relevant education or training, etc. - This position is classified as REMOTE within the United States of America. - We are unable to hire candidates located outside of the domestic U.S. Benefits - Market-leading medical, dental, and vision insurance - Stock options - Free Premium-Tier Origin Financial Wellness subscription - Monthly home-office stipend - 401k (TransAmerica) - 12-weeks paid parental leave for birthing and non-birthing parents - Flexible time off + sick and safe time - 11 paid company holidays

• We're looking for a teammate who wants to grow with us and contribute long-term to the Cívica team. • The role to be filled is AI Data Engineer with a focus on: ⚙️ Agentic Systems ☁️ Google Cloud Platform 🧠 Language Models and Generative AI 📈 AgentOps and Observability 🐍 Python Backend Development 🤝 Multidisciplinary Collaboration

• Design, develop, and optimize DSP algorithms for RF communications signals, including waveform processing in contested and dynamic environments (e.g., filtering, synchronization, channelization, detection/estimation, demodulation/decoding, interference mitigation). • Lead algorithm development from concept through prototype to implementation, balancing performance, latency, robustness, and computational constraints. • Implement and validate DSP solutions on heterogeneous compute platforms including Xilinx RFSoC, UltraScale+, and Versal, leveraging PL/PS resources and hardware acceleration as appropriate. • Collaborate with FPGA engineers to translate algorithms into hardware-realizable architectures (fixed-point design, throughput/latency optimization, resource trade studies, hardware-friendly formulations). • Work closely with embedded software engineers to integrate real-time DSP pipelines (drivers, data movement, DMA, streaming interfaces, buffering strategies, runtime configuration). • Develop and execute test/verification strategies using lab instrumentation and captured RF datasets; characterize performance under impairments (CFO/phase noise, multipath, fading, interference/jamming, nonlinearities). • Develop simulation and analysis environments (e.g., MATLAB/Simulink, Python) and correlate simulation results to hardware/field behavior. • Provide technical leadership: define architecture, conduct design reviews, mentor engineers, and communicate trade-offs clearly to stakeholders. • Produce high-quality documentation (DSP design descriptions, algorithm specs, performance reports, ICD inputs, SBIR deliverables as required). • Support integration, debug, and field test activities spanning DSP, RF, FPGA, and embedded software domains.