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Lila Sciences

Senior Software Engineer, Operations Research

Lila Sciences · Cambridge, MA USA

Posted about 2 months ago

or apply directly on Lila Sciences's site. We never take the application ourselves.

Is this posting real?

This role has been open
72 days
Lila Sciences's roles stay open a median of 80 days
Reposted
No
Salary listed
No
0% of Lila Sciences's roles list one
Ghost-job risk at Lila Sciences
high
116 stale, 2 reposted of 118 open
Hiring momentum
155 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Lila Sciences's own greenhouse board since 2026-08-03. Full hiring picture for Lila Sciences.

About this role

As a Senior Software Engineer in Operations Research at LILA, you will design, build, and optimize backend systems and data infrastructure that support orchestration algorithms and lab execution. Your role involves developing APIs, managing databases, and ensuring system reliability while collaborating with robotics researchers and scientists to integrate advanced AI frameworks into scientific workflows.

Our read on this posting2.8out of 5
benefits
4/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lila Sciences as an employer.

What you need

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 5–10 years of engineering experience building and deploying large-scale backend or data systems in production
  • Experience developing distributed software and data systems (Postgres, Flyte, Temporal, NATS/MQTT, FastAPI)
  • Hands-on experience using AI coding assistants to drive productivity
  • Acute listening skills and proven track record of working cross-functionally with scientists, data engineers, and product teams
  • Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability

Nice to have

  • Experience developing scheduling software or manufacturing execution systems
  • Experience with operations research solvers (OR-Tools, HiGHS, Gurobi)
  • Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions)
  • Familiarity with data science, data visualization, and ML libraries (pandas, polars, numpy, scipy, pytorch)
  • Exposure to laboratory software or analytics for life sciences, material sciences, or related fields

What you get

  • Competitive base compensation with bonus potential and generous early-stage equity
  • Comprehensive benefits program including medical, dental, and vision coverage
  • Employer-paid life and disability insurance
  • Flexible time off with generous company wide holidays
  • Paid parental leave
  • Educational assistance program

Worth weighing

  • No specific mention of the tech stack beyond backend systems and data infrastructure
  • Role involves significant collaboration with cross-functional teams, which may require strong interpersonal skills
  • The position is described as impactful in a cutting-edge AI platform, which may imply a fast-paced work environment

Summarised from Lila Sciences's posting. Read the full original.

Listed by Lila Sciences on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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