Staff Software Engineer, Machine Learning at Supernal

San Mateo, California, United States

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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

Key technologies and capabilities for this role

PythonPyTorchTensorFlowHugging FaceLLMsAWSGCPAzureDockerKubernetesML pipelinesprompt engineeringdistributed systemsAPI design

Questions & Answers

Common questions about this position

What is the location requirement for this role?

This is an onsite position.

What compensation and benefits are offered?

The role offers competitive salary, equity options, and benefits including health, dental, and vision coverage.

What skills and experience are required for this position?

Candidates need 5+ years of software engineering experience with at least 3 years in applied ML systems or LLM applications, strong Python skills, familiarity with ML frameworks like PyTorch or TensorFlow, and experience with cloud platforms, containerization, and MLOps practices.

What is the company culture like?

The role involves working in a fast-moving startup environment, contributing to a strong, inclusive, and innovative engineering culture through mentoring and collaboration with product, engineering, and healthcare experts.

What makes a strong candidate for this role?

A strong candidate has 5+ years of software engineering with 3+ years in ML/LLM applications, experience in healthcare or regulated industries, and a track record of building ML-powered enterprise SaaS products.

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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