Target Salary Range $146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Design, deploy, and support high-speed fiber optic infrastructure
Apply optical engineering expertise spanning fiber propagation, coherent detection, optical amplification, optical switching, link engineering, impairments, and measurement science
Leverage laboratory skills including setup design, optical alignment, calibration, and uncertainty analysis
Requirements
Bachelor's degree in Computer Science
Bachelor's degree in Information Systems
Bachelor's degree in Engineering Science
Nice to have: Hands‑on experience with Ciena 6500 RLS DWDM/OTN
Nice to have: Hands‑on experience with Ciena WaveServer
Support manufacturing from a test and automation perspective in the production of Aurora’s hardware and deliver the benefits of self-driving technology safely, quickly, and broadly.
Compensation
The base salary range for this position is $181,000-$290,00 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
Responsibilities
Support manufacturing from a test and automation perspective in the production of Aurora’s hardware
Develop and maintain advanced automated test solutions for wafer-level and chip-level integrated photonic circuits and integrated Lidar modules
Develop software to interface with cameras, stages, and optoelectronic test equipment
Test and characterize passive and active integrated photonic components
Build optical setups to test novel ideas or to debug optical chips / modules / systems
Requirements
Master / Ph.D. degree in physics, electrical and computer engineering or relevant fields
Nice to have: automated wafer-level or chip-level photonics testers
Nice to have: reliability testing for integrated photonics products
Nice to have: characterization of high-speed opto-electrical components
Skills
Senior Product Manager, Data Center & AI Networking Hardware
Senior Product Manager responsible for defining and delivering next‑generation networking platforms for data centers and AI clusters, combining technical depth with product lifecycle management and NPI leadership.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 143,000 - 290,500 in California The listed salary range reflects base salary. Variable incentives may also be offered.
Responsibilities
Lead end‑to‑end product strategy and operational roadmap for next‑generation data center and AI cluster networking platforms.
Define value propositions, target customer segments, market requirements, product requirements, and business cases.
Assess emerging technologies including switch silicon, SerDes, high‑speed optics and interconnects, switch and system design, power delivery, thermal management, air and liquid cooling, and rack‑level infrastructure.
Translate customer insight, market trends, competitive dynamics, and engineering possibilities into differentiated product and architecture decisions.
Lead fact‑based trade‑off analyses across customer value, performance, power, density, reliability, serviceability, manufacturability, cost, margin, supply readiness, and time to market.
Requirements
Bachelor's degree in computer science, engineering or related field
MBA or advanced degree in computer science or engineering
Senior Product Manager, Data Center & AI Networking Hardware
Senior Product Manager responsible for defining and delivering next-generation networking platforms for data centers and AI clusters, combining technical depth with product lifecycle management and NPI leadership.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 143,000 - 290,500 in California
Responsibilities
Lead end-to-end product strategy and the operational roadmap for next-generation data center and AI cluster networking platforms.
Define value propositions, target customer segments, market requirements, product requirements, and business cases in the context of the broader portfolio.
Assess emerging technologies including switch silicon, SerDes, high-speed optics and interconnects, switch and system design, power delivery, thermal management, air and liquid cooling, and rack-level infrastructure.
Translate customer insight, market trends, competitive dynamics, and engineering possibilities into differentiated product and architecture decisions.
Lead fact-based trade-off analyses across customer value, performance, power, density, reliability, serviceability, manufacturability, cost, margin, supply readiness, and time to market.
Requirements
Bachelor's degree or equivalent in computer science, engineering or related field of study
MBA or advanced degree in computer science or engineering
Senior Product Manager, Data Center & AI Networking Hardware
Lead end-to-end product strategy and the operational roadmap for next-generation data center and AI cluster networking platforms.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 143,000 - 290,500 in California The listed salary range reflects base salary. Variable incentives may also be offered.
Responsibilities
Lead end-to-end product strategy and the operational roadmap for next-generation data center and AI cluster networking platforms.
Define value propositions, target customer segments, market requirements, product requirements, and business cases in the context of the broader portfolio.
Assess emerging technologies including switch silicon, SerDes, high-speed optics and interconnects, switch and system design, power delivery, thermal management, air and liquid cooling, and rack-level infrastructure.
Translate customer insight, market trends, competitive dynamics, and engineering possibilities into differentiated product and architecture decisions.
Lead fact-based trade-off analyses across customer value, performance, power, density, reliability, serviceability, manufacturability, cost, margin, supply readiness, and time to market.
Requirements
Bachelor's degree in computer science, engineering or related field of study
MBA or advanced degree in computer science or engineering
Senior Product Manager, Data Center & AI Networking Hardware
Seeking a Senior Product Manager to define and deliver next-generation networking platforms for data centers and AI clusters, combining technical depth in networking hardware with strong product lifecycle management.
Compensation
USD 143,000 - 290,500 annually
Responsibilities
Lead end-to-end product strategy and the operational roadmap for next-generation data center and AI cluster networking platforms.
Define value propositions, target customer segments, market requirements, product requirements, and business cases in the context of the broader portfolio.
Assess emerging technologies including switch silicon, SerDes, high-speed optics and interconnects, switch and system design, power delivery, thermal management, air and liquid cooling, and rack-level infrastructure.
Translate customer insight, market trends, competitive dynamics, and engineering possibilities into differentiated product and architecture decisions.
Lead fact-based trade-off analyses across customer value, performance, power, density, reliability, serviceability, manufacturability, cost, margin, supply readiness, and time to market.
Requirements
Bachelor's degree in computer science, engineering or related field of study
MBA or advanced degree in computer science or engineering preferred
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