Archer56

Senior AI Systems Engineer

San Jose, California, United States · Senior

No sponsorship$160k-$198kDetected 8 days ago

SQLNoSQLAWSDockerKubernetesMachine LearningData EngineeringLLMsMLOpsSystems EngineeringLeadershipCollaboration

About the role

We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Infrastructure & Orchestration: Deploy, scale, and manage resilient infrastructure services tailored for distributed AI model training and low-latency inference.
Maturity & MLOps: Utilize and maintain end-to-end tooling-including MLflow for experiment tracking and model registry-to streamline and optimize the AI development lifecycle.
Cross-Functional Collaboration: Partner closely with AI researchers and Software Engineers to productionize cutting-edge models, establish monitoring systems, and debug complex performance bottlenecks at the hardware-software interface.
Deploy, scale, and manage resilient infrastructure services tailored for distributed AI model training and low-latency inference.
Utilize and maintain end-to-end tooling-including MLflow for experiment tracking and model registry-to streamline and optimize the AI development lifecycle.

BS/MS/PhD degree in Computer Science, Software Engineering, or a related field.
3+ years of professional software engineering experience with a dedicated focus on AI/ML systems, high-performance computing (HPC), or ML infrastructure.
Familiarity with hyper-scaler infrastructure (AWS) alongside specialized AI-centric bare-metal and GPU clouds (Nebius AI Cloud).
Hands-on experience with containerization (Docker) and production-grade orchestration (Kubernetes), paired with cloud-agnostic cluster abstractors like SkyPilot to manage multi-region GPU availability.
Deep architectural understanding of large language models and the system infrastructure required to serve them at scale using frameworks like vLLM and SGLang.
LLM Serving Optimization: Deep architectural understanding of large language models and the system infrastructure required to serve them at scale using frameworks like vLLM and SGLang.
Data Engineering for AI: Experience building high-throughput data pipelines to support large-scale training, including proficiency in SQL, NoSQL, and columnar storage formats optimized for ML (e.g., Parquet).
As a Senior AI Systems Engineer, you will architect, deploy, and manage the critical infrastructure services required for large-scale AI model training and inference.

Familiarity with audio processing, speech-to-text frameworks, or Automatic Speech Recognition (ASR) pipelines.
Prior experience or a deep technical interest in aerospace, aviation, or autonomous systems (e.g., safety-critical software, edge-AI deployments).
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace.
All aspects of employment are decided on the basis of merit, qualifications, and business needs.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs.
Reasonable accommodations will be determined on a case-by-case basis.

You will ensure our machine learning platforms are robust and efficient, bridging the gap between raw data and high-performance AI models.
Education: BS/MS/PhD degree in Computer Science, Software Engineering, or a related field.
Bonus Qualifications

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility.
We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success.
We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.

Archer is unable to provide work visa sponsorship for this position at the present time.

This listing is sourced directly from Archer56's careers page and normalized into a canonical job model.