AI Systems Engineer, Archer
$196.8-265.7k
Office located in San Jose, CA
Urban air mobility developer
Open for applications
Urban air mobility developer
501-1000 employees
Open for applications
$196.8-265.7k
Office located in San Jose, CA
501-1000 employees
Company mission
To accelerate the benefits of sustainable air mobility.
Role
Who you are
- M.S or PhD degree in Computer Science, Computer Engineering, or related field
- Enjoys solving less-defined and complex problems
- Familiarity with general AI methodologies/algorithms, and the more recent LLM technologies
- Familiarity with SW techniques for AI quantization, sparsity, model distillation, etc
- Ability to build out RAG systems, develop data pipelines, build datasets, etc
- Has ability to develop high performing SW infrastructure and systems to support foundation model development
- Ability to optimize the latency of AI systems while considering the target HW architectures
- Strong critical thinking, SW development, and algorithm design
- C++/C, Rust, and Python Expertise or similar
Desirable
- Experience with CUDA is a plus
- Familiarity with PyTorch and AI/ML frameworks is a plus
- Experience working with simulation environments is a plus
What the job involves
- As a strong software developer, you will develop AI systems at production quality and be responsible for:
- Designing and building end-to-end AI/ML pipelines for model training, evaluation, deployment, and monitoring
- Developing and maintaining scalable, secure, and fault-tolerant AI infrastructure on cloud and/or on-prem environments
- Integrating AI/ML models into production systems with a focus on reliability and performance
- Collaborating with AI scientists and researcher engineers to translate prototypes into production-ready solutions
- Implementing automation tools to support CI/CD for machine learning workflows
- Monitoring and optimizing resource usage, data pipelines, and model inference efficiency
- Ensuring compliance with data privacy, security, and ethical AI practices
- Documenting system architecture and processes to support maintainability and knowledge sharing
Our take
Electric air taxis may sound like a pipedream, but companies like Archer are in the process of testing models that they hope to begin producing at scale in 2025. Designed to be quiet and efficient, its current model can fly at speeds of 150 miles per hour and cover 60 miles per flight. With urban transport in mind, these air taxis are both greener and vastly more efficient than traditional vehicles.
Given the congestion and pollution issues that many cities are facing, it's easy to imagine such transport taking over. It’s also worth noting that although Archer plans to run them with human pilots initially, the company has automation as part of its long-term goals.
Other players exist in this space: EHang, a Chinese firm, flew its first aerial taxi in America in 2020. However, Archer has big backers and customers such as United Airlines (acting both as an investor and launch customer) and manufacturing partner Stellantis with whom it is mass-producing its flagship Midnight eVTOL aircraft.
There's certainly a growing demand for clean transport without sacrificing speed, but many barriers still remain in Archer's way as it must help to initiate a seismic shift in transportation infrastructure and behaviors to reach mass adoption. That being said, it has the funding behind it, raising close to $2 billion in post-IPO funding since 2021.
Freddie
Company Specialist at Welcome to the Jungle
Insights
44% employee growth in 12 months
Company
Funding (1 round)
Jul 2020
$55.7m
SERIES A
Total funding: $55.7m
Company HQ
Tasman and Zanker, San Jose, CA
Leadership
Adam Goldstein
(CEO)Started their career in financial services, before co-founding Vettery, a talent marketplace, in 2012. Founded Archer in 2018.
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