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Amazon

Solution Architect, Vehicle Technology CoE

Amazon is hiring a Solution Architect, Vehicle Technology CoE in Santa Clara, United States. It pays $151k-$204k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this solutions architect role is Uses AI ●●○○: an ordinary role that requires AI tools.
  • Tools and skills the posting cites include OpenAI, AWS and Nvidia.
  • Level classifies it as a senior role.
  • Level lists 21,000+ other open roles at Amazon.
  • The role was posted within the past week.

AI in this role

Solution architect defining worldwide technical strategy for automotive technology on AWS, including software-defined vehicles and ADAS.

openaiawsnvidia
solutions-architecturesoftware-defined-vehiclesadascloud-computing
AWS's Vehicle Technology Team is a global Center of Excellence covering AMER, EMEA and APJ. It helps automakers, Tier-1 suppliers and mobility companies build the next generation of vehicles on AWS. As a Senior Solutions Architect, you'll set the worldwide technical strategy for our three core areas: Software-Defined Vehicle (SDV), ADAS/Autonomous Driving, and E/E Architecture. You'll be the technical lead on pilot engagements with strategic customers. You'll also choose and build relationships with key technology partners, and turn new ideas into demos for the industry's biggest stages.

This role is for a hands-on technologist who can talk architecture with OEM engineering leaders in the morning and build a working prototype in the afternoon. You'll have real influence on how AWS shows up in the automotive industry.

Key job responsibilities
Technical strategy: Guide the worldwide technical strategy for Vehicle Technology across SDV, ADAS/AV and E/E Architecture, and turn industry trends into reference architectures and solution patterns.
Pilot customer engagements: Lead pilot engagements with strategic automotive customers from discovery through proof of concept, and help turn them into production pipeline.
Partner ecosystem: Choose and work closely with key automotive partners (silicon, simulation, middleware, toolchain and systems integrators) to build joint solutions.
Industry demos: Build demos for flagship events such as AWS re:Invent, CES and IAA Mobility, working with account solutions architects.
Ambassador programs: Represent AWS in strategic technology ambassador programs, such as with NVIDIA and OpenAI.
Thought leadership: Speak at conferences, write blogs and whitepapers, and give product teams feedback from the field.

A day in the life
No two days are the same. In the morning you might meet with the E/E architecture team at a European OEM to look at how a zonal compute design maps to a cloud-native development and validation toolchain. Around midday you could join a working session with a silicon or simulation partner to scope a joint reference architecture for virtual ECUs and large-scale ADAS simulation. In the afternoon you might get hands-on with a prototype for the next CES or IAA Mobility demo, working with an account solutions architect who has a customer ready to see it.


About the team
The Vehicle Technology Team is a global Center of Excellence in AWS Automotive, with members across AMER, EMEA and APJ. We help automakers, Tier-1 suppliers and mobility companies change how vehicles are designed, developed, validated and updated. Our focus areas are Software-Defined Vehicle, ADAS/Autonomous Driving and E/E Architecture.

Basic qualifications

- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience

Preferred qualifications

- Experience working within software development or Internet-related industries
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience working with AWS technologies from a dev/ops perspective

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, CA, Santa Clara - 151,000.00 - 204,300.00 USD annually

How we rate this

Solution Architect, Vehicle Technology CoE at Amazon rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Solutions ArchitectureSoftware Defined VehiclesAdasCloud ComputingOpenAIAWSNvidia

Also common in solutions architect jobs at this level

Pay

This job starts at
$151k
Typical solutions architect job
$169k

This posting starts 11% below the typical solutions architect job. See solutions architect jobs

Questions you could be asked

  1. Tell me about a project where solutions architecture was part of your work. What did you do?
  2. Tell me about a project where software defined vehicles was part of your work. What did you do?
  3. Tell me about a project where adas was part of your work. What did you do?
  4. Tell me about a project where cloud computing was part of your work. What did you do?
  5. Walk me through how you've used OpenAI in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Solutions Architecture, Software Defined Vehicles, Adas, Cloud Computing, and OpenAI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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