Top Hybrid Entry Level Software Engineer Jobs in Boston, MA

Develop and integrate platform software for audio technology products using Linux, RTOS, C/C++, Python, DSP, and middleware. Support product delivery, coordinate cross-functional teams, resolve integration issues, and build scalable software components. Collaborate with systems, QA, and security teams while maintaining integration documentation, matrices, and progress reports. The role also requires audio technology experience involving DSP pipelines, latency-sensitive systems, or room correction algorithms.

Develop and improve home energy simulation software, implement and maintain building energy codes and standards, collaborate with energy model developers, support internal teams and customers with energy modeling questions, and use AI-assisted development tools. The role combines software engineering with heat transfer, thermodynamics, and building science expertise.

Develop and maintain native Android experiences and AI-powered personalization features for WHOOP’s recommendation engine. Responsibilities include Android architecture, Kotlin development, API integration, testing, performance monitoring, release management, technical documentation, code reviews, and collaboration with Product, Design, Backend, and engineering teams.

Design and implement software for prototypes and production applications within an agile engineering team. Collaborate with business, marketing, and UX partners; contribute to product ideation, rapid prototyping, data analysis, user interfaces, custom algorithms, and emerging technology experiments. Participate in hackathons, meetups, and technical learning opportunities while helping develop innovative insurance technology products.

Develop software solutions for Assurance client engagements, participating in architecture, design, coding, testing, maintenance, and code reviews. Collaborate with project teams to create scalable systems, apply computer science and engineering principles, interpret data, and provide technical insights. The role emphasizes learning, innovation, client service, teamwork, adaptability, and using AI and emerging technologies to improve financial reporting and decision-making processes.

Owns resilience, performance, scalability, and operational cost improvements for a cloud-native platform. Designs and delivers full-stack solutions, builds monitoring and analysis capabilities, performs architectural and code reviews, and resolves complex production issues. The role requires pragmatic modernization judgment, AI-assisted development experience, customer or user accountability, and participation in a weekend on-call rotation.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Own the end-to-end technical architecture for Salesforce CRM and CPQ, leading Quote-to-Cash and Lead-to-Cash transformation. Design integrations with billing, ERP, marketing, and analytics platforms; guide developers on Apex and LWC standards; conduct code reviews; evaluate custom development versus standard functionality; reduce technical debt; and partner with business stakeholders to simplify processes and improve revenue operations.

Develop distributed computing algorithms, performance metrics, and analysis tools for Zoox’s Collision Avoidance System. Analyze petabytes of urban driving data, evaluate system performance, and collaborate with CAS Perception, Planning, Systems Design, Mission Assurance, and QA engineers to define autonomous-driving validation metrics and plans.

Lead engineering process transformation by establishing a modern SDLC, improving team self-organization, balancing technical debt with product delivery, coordinating distributed and external teams, and ensuring work follows clear specifications. Partner with product, executives, and the Lead Software Engineer to improve throughput, delivery consistency, and codebase stability. Use AI-enabled planning, reporting, and bottleneck identification while fostering a healthy, accountable engineering culture.