Software Engineer, ML Systems
- Level
- Mid
- Work type
- On-site · Palo Alto
Not stated in the posting: salary, visa.
Open. First seen 6 November 2026.
About the role
Harmonic's standard text
About Harmonic
At Harmonic, we believe the future of AI depends on proof. Most AI makes its best guess. Aristotle uses formal methods and reinforcement learning to check its own reasoning and results.
AI agents can write software in seconds, but edge cases and silent bugs still get through. We're building the verification engine to find them before code ships. With support for C and Verilog, Aristotle is built for the hardware and software where failure is expensive.
Backed by some of the world’s most prominent investors, we are intentionally scaling an elite technical team.
Try Aristotle for yourself here!
About the Role
We are looking for a pragmatic, Software Engineer to own the productionization of our research pipelines. This is an implementation-heavy role designed for an engineer who can take a nascent research idea and build the robust, scalable machinery required to prove it at scale within our cloud infrastructure.
Key Responsibilities
- Pipeline Engineering: Build and manage end-to-end ML pipelines (ETL and automated evaluation) that are the bedrock of our RL research.
- Bottleneck Resolution: Identify and refactor inefficient research code. You act as the primary engineer ensuring that a promising idea reaches its full potential through scalable code.
- Standardization: Establish best practices for versioning, experiment tracking, and CI/CD for ML models to ensure reliability.
- Cloud Infrastructure & Observability: Manage the deployment and scaling of workloads on Kubernetes. Implement the tooling and telemetry that allows the team to understand agent behavior and training health at a glance.
Minimum Qualifications
- BS in Computer Science, a related technical field, or equivalent industry experience
- 2+ years of relevant industry experience
- Expert-level Python skills and a disciplined approach to software engineering (testing, versioning, and modular design).
- Experience building and managing end-to-end ML pipelines in a production or research-intensive environment.
Preferred Qualifications
- Full-stack ML experience: Comfortable moving from data engineering to model debugging.
- Experience refactoring research-grade code into high-quality, scalable production packages.
- Proven ability to design and implement complex data-loading and evaluation systems for non-deterministic models.
- Experience with workflow orchestration tools (e.g., Kubeflow, Airflow, or Metaflow).
- Experience managing large-scale experiments on cloud providers (AWS, GCP, or Azure).
- Proven track record collaborating directly with researchers to translate algorithmic requirements into engineering roadmaps.
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
Harmonic's standard text
What We Offer
- Unlimited PTO
- 401(k) matching
- 100% employer-paid health, vision, and dental benefits for employees and 50% coverage for dependents. Harmonic offers varied health coverage options to select what is best for you and your family.
- Health Savings Account (HSA) available for qualifying health plans
Equal Opportunity Statement
Harmonic is committed to diversity and inclusivity in the workplace. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
What this role asks for
Particular to this role
Airflow · CI/CD · Docker · ETL · Kubeflow
Rare in Harmonic's other 12 open postings.
Standard for data science / ML roles
Machine Learning · Python
Common in data science / ML postings at any company.
59% of this description is written for the role. The rest is Harmonic's standard text, folded away below.
Compared with Harmonic's other open jobs.
The team: Engineering
This role is one of 18 open in Engineering.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
C (16 of 18), Python (16 of 18), Verilog (16 of 18), C++ (8 of 18), AWS (6 of 18), Azure (6 of 18), GCP (6 of 18)
OTHER ROLES ON THIS TEAM
- Research Engineer, Formal Methods posted Aug 24
- Research Engineer, Formal Methods posted Aug 24
- Formal Verification Engineer posted Aug 13
- Formal Verification Engineer posted Aug 13
- Senior Software Engineer - Full Stack posted Aug 6
- Staff Software Engineer - Frontend Platform posted Aug 6
- Software Engineer, Product posted Aug 3
- Software Engineer, Product posted Aug 3
- Software Engineer, ML Systems posted May 7
- Research Engineer, Training & Inference posted May 7
- Research Engineer, Training & Inference posted May 7
- Software Engineer, Infrastructure posted May 1
- Software Engineer, Infrastructure posted May 1
- Research Engineer posted Jul 10
- Research Engineer posted Jul 10
- Software Engineer posted Aug 28
- Software Engineer posted Aug 28
From the team and dates on Harmonic's own job board.
Other openings for this role
2 open postings for this role in Palo Alto, first posted 2 October 2026. The company is likely hiring for more than one position. None has been taken down and posted again.
- 6 November 2026 – open (this posting)
- 2 October 2026 – open
See Software Engineer salaries in the United States →
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