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Cavnue, a leading company in automated roadway technology, seeks a Senior Integration Engineer to design and maintain integration solutions. This fully remote role requires expertise in algorithms and collaboration with cross-functional teams to enhance roadway performance and safety.
United States
We believe the future of our nation’s roadways is automated, safer, more accessible and enables more efficient movement of people and goods. While billions have been invested into developing vehicle technologies – including advanced driver assistance systems (“ADAS”) and autonomous driving solutions – a small fraction has been spent on developing infrastructure to support and enhance roadways. At Cavnue, we are developing and integrating technologies that will power the world’s most technologically advanced roadways (“cavnues”). Our approach is founded in creating a digital model of the roadway that analyzes and optimizes road conditions in real-time, sharing actionable alerts and providing proactive guidance to vehicles and drivers.
Join us in innovating the roads of the future. Cavnue, which in April 2022 announced the closing of its Series A at $130M, is bridging vehicle technology and road infrastructure to rapidly deliver safer roads today while accelerating the adoption of connected and automated vehicles (CAVs) moving forward. With ongoing deployments in Michigan and Texas, Cavnue is the only company in North America that uses Smart Road technology to improve performance for road operators and deliver a safer, more efficient experience for all road users while preparing for a future with more CAVs. Our mission is to set the new standard for road performance and safety.
Role Overview
We seek an experienced Integration Engineer with a strong foundation in systems engineering and specialized expertise in classical algorithms for estimation and control, such as Kalman filtering. You will be responsible for designing, building, and maintaining robust services and integration solutions that incorporate real-time data processing and state estimation from various sensor inputs. This fully remote role involves collaborating with cross-functional teams to develop and deploy systems where accurate estimation and prediction based on classical methods are critical. Join us in building the foundational systems that power intelligent applications through sophisticated data interpretation.
Core Responsibilities:
Nice to Have Responsibilities:
Requirements:
Bonus:
Salary Range: The compensation range for this position is specific to the location(s) listed below and is the range Cavnue reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Actual pay may vary based on these factors and geography.
Remote: $145,000 - $195,000
Additional Compensation: The successful candidate may be eligible to participate in Cavnue's equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Note: Cavnue's benefit, compensation and incentive programs are subject to eligibility requirements and other terms of the applicable plan or program.
We are building an incredible team of employees with diverse backgrounds and experiences. We believe that great work can occur anywhere and are open to considering candidates who meet our needs who reside outside our geographic footprint. We also value the impact that can result from co-located teams and some roles may require regular presence in one of our offices.
Cavnue is an Equal Opportunity Employer and prohibits discrimination or harassment of any kind. All employment decisions at Cavnue are based on business needs, job requirements, and individual qualifications, without regard to race, color, national origin, sex, gender, age, religion or belief, disability, sexual orientation, family or parental status, veteran status, or any other status protected by law.
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