Top Tech Jobs & Startup Jobs in Boston, MA

Maintain and improve deployed PLC, SCADA, and robotics control systems for lab automation. Troubleshoot multidisciplinary incidents, perform root cause analysis, implement fixes, update third-party integration wrappers, sustain PLC-based safety systems, plan maintenance/patching/upgrades, keep engineering documentation current, and track reliability metrics to improve uptime and reduce recurring faults.

Lead and build Lila’s federal partnership strategy and team, owning senior relationships across DOE, NIH, DARPA, DoD and others. Drive pre-solicitation engagement, shape opportunities, close revenue-generating awards (FOAs, BAAs, CRADAs), and translate complex science and AI into policy-facing narratives. Partner cross-functionally to convert engagements into pilots and procurements, represent Lila to senior government leaders, and establish systems to scale federal engagement.

Lead full-cycle recruiting for contract and select full-time engineering and scientific roles, manage staffing agency relationships, partner with hiring managers on talent strategies, conduct screens, manage interview and offer processes, maintain ATS data and metrics, and improve recruiting processes and agency performance.

Lead the development and strategy of Lila Sciences' software products, focusing on integrating AI within scientific workflows and managing high-performing teams.

Seek an Enterprise Account Lead to drive revenue in life sciences by managing pharma accounts, leading sales cycles, and collaborating with technical teams to close deals.

This role invites interested candidates to join a talent community for future job opportunities at Lila.

The Principal Software Engineer will design and build APIs, optimize database architecture, enhance performance, and collaborate on cloud infrastructure for scientific applications.

Own and prioritize the capability roadmap for Lila's foundational models. Translate stakeholder input into measurable model requirements, define evaluation metrics and release gates, analyze competitor models, and partner with research and training leads to sequence and promote models to production with transparent documentation.

Lead the development and integration of advanced safety systems for scientific AI applications, building a team and establishing a research strategy.

As a Product Lead for Software/Applied AI, you will own specific product areas, guiding full-stack product execution and cross-functional collaboration to build impactful scientific tools.