Staff Software Engineer, Machine Learning at Supernal

San Mateo, California, United States

Supernal Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
HealthcareIndustries

Requirements

  • 5+ years of software engineering experience, with at least 3 years working directly on applied ML systems or LLM-based applications
  • Strong programming skills in Python and familiarity with ML/AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
  • Solid background in distributed systems, API design, and data-intensive architectures
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (Kubernetes)
  • Understanding of modern MLOps practices, including CI/CD for ML, feature stores, monitoring, and reproducibility tools
  • Excellent communication skills, with the ability to work effectively across technical and non-technical teams
  • Preferred Qualifications
  • Experience with fine-tuning, prompt engineering, and deploying LLMs in production environments
  • Experience applying ML/LLMs in healthcare or other regulated industries, including familiarity with interoperability standards (FHIR, HL7)
  • Knowledge of real-time systems, speech/voice models, or telephony platforms
  • Track record of building enterprise SaaS products powered by ML/AI
  • Awareness of ethical AI practices and experience implementing responsible AI guidelines in production

Responsibilities

  • Design, build, and optimize ML-driven software systems, with a focus on deploying and fine-tuning LLMs for healthcare use cases
  • Develop scalable pipelines for data ingestion, preprocessing, training, evaluation, and deployment of ML models
  • Collaborate with product, engineering, and healthcare domain experts to design AI-first solutions for revenue cycle management and clinical workflows
  • Architect cloud-native ML infrastructure to ensure reliability, security, and efficiency in model training and serving
  • Lead critical projects end-to-end, from research and prototyping through production deployment and iteration
  • Establish best practices for ML/LLM development, including evaluation frameworks, monitoring, reproducibility, and responsible AI principles
  • Mentor engineers in applied ML/AI, contributing to a strong, inclusive, and innovative engineering culture

Skills

Python
PyTorch
TensorFlow
Hugging Face
LLMs
AWS
GCP
Azure
Docker
Kubernetes
ML pipelines
prompt engineering
distributed systems
API design

Supernal

Develops electric vertical takeoff aircraft

About Supernal

Supernal focuses on transforming urban transportation through the development of electric Vertical Takeoff and Landing (eVTOL) vehicles. These electric aircraft are designed to take off and land vertically, providing a zero-carbon and efficient transportation option for cities. Supernal targets urban planners, city governments, and private transportation companies, offering solutions to reduce ground traffic congestion and carbon emissions. Their business model includes the development, production, and operation of eVTOLs, generating revenue through sales, leasing, and support services like maintenance and fleet management. Based in Irvine, California, Supernal emphasizes safety and customer needs, with their eVTOL model, the S-A2, featuring eight tilting rotors to address engineering challenges. The company aims to set a high standard for advanced air mobility and believes in the importance of collaboration within the community to achieve success.

Washington, District of ColumbiaHeadquarters
2020Year Founded
VENTURE_UNKNOWNCompany Stage
Automotive & Transportation, Government & Public Sector, EnergyIndustries
201-500Employees

Benefits

Performance Bonus

Risks

Relocation to Irvine may disrupt operations and employee productivity temporarily.
Competition from Lilium threatens Supernal's market share in the U.S.
Geopolitical challenges may affect Supernal's expansion in Asia and Europe.

Differentiation

Supernal focuses on zero-carbon eVTOLs for urban air mobility, unlike many competitors.
The S-A2 features unique eight tilting rotors, solving multiple engineering challenges.
Supernal collaborates with Hyundai for advanced design and manufacturing expertise.

Upsides

Partnerships with Blade and Sigma enhance Supernal's market reach and operational capabilities.
FAA's regulatory frameworks could accelerate Supernal's commercial deployment by 2028.
Advancements in battery technology improve S-A2's range and charging efficiency.

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