Autonomous Vehicle Systems Optimization Lead, Manager - Managed AI
Company: Deloitte
Location: San Jose
Posted on: June 26, 2022
Job Description:
Autonomous Vehicle Systems Optimization Lead, Manager - Managed
AI
The Team
The Deloitte Connected and Autonomous Vehicle (CAV) team is
catalyzing and shaping the Autonomous Vehicle (AV) market through a
suite of turnkey, as-a-service solutions that deliver improved
performance and lower total cost of ownership. These solutions will
empower Automotive customers to realize their autonomy ambitions as
efficiently as possible.
High Level Role
We are looking for a senior distributed systems and full stack
engineer to lead our AI workload optimization practice in scaled
customer environments. The candidate will work in partnership with
our deep learning platform and data management teams to build out
this practice, tools, and standards catalog. Our goal is to ensure
we can quickly debug AI workload bottlenecks during training and/or
inferencing stages of development with our customers environments.
This requires a 360-degree understanding of the AI model
development standards used (versus recommended, best known
methods), ability to track and trace model efficacy drifts or
performance issues to a known change at a point in time,
establishing root-cause to the software or hardware configurations
of the stack with appropriate fixes, testing, and release.
Specifics:
- Support the design and build of sophisticated scalable
distributed systems, compute and data pipelines, and web
applications that help index, mine, transform, analyze, develop,
and debug deep learning datasets and applications
- Enable deep insights and end-to-end traceability into
autonomous vehicle development, triage, debug, and performance
metrics
- Establish root-cause with fixes on the AI Models
/infrastructure to enable rapid iterations of software based on
user feedback and metrics
- Significant time will be hands-on writing code and peer
reviewing high performance, high quality, and well tested and well
architected code
- Collaborate with AI applied researchers and leaders to build
future-proof infrastructure using new technologies
Minimum Qualifications:
- Bachelor's Degree in Computer Architecture, Computer Science,
Electrical Engineering or related field.
- 5+ years of experience in designing and developing production
level software that includes distributed backend systems and web
application development
- 3+ years of experience deploying, upgrading, migrating, and
driving user adoption of sophisticated enterprise scale
systems.
- Ability to travel up to 50% on average, based on the work you
do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred Qualifications:
- Advanced Degree - equivalent work experience may act as a
substitute to degree requirements
- Prior software, solutions development background and proven
ability to demonstrate complex new technologies
- Strong programming background that incorporates methodologies
like data structures, design patterns, OOP, and test driven
development
- Advanced programming skills to build distributed storage and
compute systems, backend services, microservices, and web
technologies. Familiarity with Go, Scala, Angular, React, C/C++, or
equivalent
- Experience with full stack web based visualization technologies
to help provide data insights
- Experience with Python SDKs, Python packaging, cross language
bindings (C++/Python) and/or the Bazel build system.
- Background in working with complex software systems on
Linux
- Prior experience with structured data such as Avro, Parquet,
Protobuf, Thrift, and concepts like schema evolution
- Strong understanding of Docker and orchestration systems such
as Kubernetes.
- Well versed in agile methodology
- A go getter attitude to dive deeper and understand technical
requirements
- Comfortable with a customer focused, high paced
environment
- Highly motivated with strong interpersonal skills, have the
ability to work successfully with multi-functional teams,
principles and architects and coordinate effectively across
organizational boundaries and geographiesAI&DE23
Keywords: Deloitte, San Jose , Autonomous Vehicle Systems Optimization Lead, Manager - Managed AI, Executive , San Jose, California
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