Build the future of autonomous navigation. Safeguard the free world. Come join our team!
We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. Applicants must be US Citizens who are eligible to pass an extensive background check, and receive a security clearance from the US Department of Defense. We typically get back to candidates within 24 hours of applying.
Generous Pay + Equity
Our generous early-stage equity grants and competitive salaries benchmarked against industry peers enable employees to share in our long-term success.
Retirement Plan
Our retirement plan with employer matching empowers employees to build a secure financial future for themselves and their family.
Unlimited PTO
Startups are a marathon, not a sprint, and our unlimited PTO policy empowers employees to recharge without guilt or micromanagement.
Paid Family Leave
Our paid family leave supports employees during significant life events, regardless of their work location or how their family is formed.
Strong financials
Our company has been profitable every year since 2020. We have a strong balance sheet and have never laid-off or furloughed employees.
Higher Education
We offer tuition and fee assistance to support employees who wish to pursue higher education while working with us.
In-Person Work
We value in-person collaboration. We empower employees with autonomy, and work-life balance by offering flexibility for personal appointments.
Charitable Matching
Our matching program supports our employees' donations to qualified nonprofits by doubling contribution and fostering a culture of giving back.
Open Role: Staff Engineer - Robotics (full-time, Burlington, Massachusetts)
Level: Vice President to Entry Level (depends on prior experience levels)
Description: Skyline Nav AI, Inc. is a well-funded, commercially successful scale-up focused on revolutionizing visual navigation technology as an alternative to GPS, for our commercial and military customers. We are seeking highly motivated working professionals and recent graduates (PhD's/Master's/Bachelor's) who are passionate about computer vision, drones, robotics and AI to join our team.
As a Staff Engineer, you will be responsible for developing and productionizing computer vision algorithms and machine learning models to help our technology achieve high-accuracy visual navigation. This includes developing new algorithms, as well as optimizing existing methods for real-time use on edge-devices such as aerial and ground robots, and building the next generation of robotics platforms. This is an in-person role in the Greater Boston area (Burlington, MA).
Requirements:
1. Candidate must be a US citizen, eligible for US Department of Defense Security Clearance
2. B.S./M.S./Ph.D. degree in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics or related fields
3. Strong programming skills in Python and C++
4. Proficient working with computer vision and machine learning concepts
5. Ability to work in fast-paced dynamic scale-up environment
6. Ability to demo progress of next generation robotics platforms in-person on a daily basis in the Greater Boston area (Burlington, MA).
Preferred:
- Experience with visual navigation or similar technologies
- Knowledge of drones and autonomous vehicle systems
We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. We typically get back to candidates within 24 hours of applying.
If you are passionate about robotics and want to make an impact in this exciting and rapidly growing industry, we would love to hear from you. We offer competitive compensation packages, unlimited paid time-off and opportunities for growth within our company.
If you require any special accommodations to participate in this application process, please do not hesitate to email us at careers@skylinenav.com so we can assist you.
To be considered for this role, please complete this brief application form.
Open Role: Go-To-Market Lead (full-time, Burlington, Massachusetts)
Level: Vice President to Entry Level (depends on prior experience levels)
Go-To-Market Lead
Description: As the Go-To-Market Lead, you will be responsible for driving the commercial success of Skyline Nav AI’s cutting-edge visual navigation solutions. Your focus will be on generating and closing new business opportunities, spearheading product marketing initiatives, and cultivating long-term customer relationships.
This is a high-impact role requiring a strategic mindset, a passion for innovation, and the ability to execute sales and marketing strategies in a fast-paced, technology-driven environment. You'll represent the company in meetings, at conferences, and during client engagements, requiring significant travel.
This role is ideal for candidates with 1 to 20 years of industry experience (including internships).
Responsibilities:
Lead outbound sales efforts and maintain a robust sales pipeline to identify and close new business opportunities.
Develop and execute go-to-market strategies to effectively position Skyline Nav AI’s solutions in the commercial, defense, and space sectors.
Build and nurture customer relationships, acting as the primary point of contact for high-value clients.
Collaborate with product and engineering teams to refine marketing messages and ensure successful product launches.
Identify revenue-generating opportunities and drive profitable growth through a combination of market analysis and customer feedback.
Travel to customer sites and industry events (up to 50% of the time) to promote products and close deals.
Requirements:
Proven experience in a go-to-market, business development, or product marketing role, preferably in technology or AI-driven industries.
Strong track record of generating leads, closing deals, and achieving revenue targets.
Excellent communication and presentation skills, with the ability to clearly articulate complex technical solutions to diverse stakeholders.
Ability to travel extensively to meet with clients and represent the company at events (up to 50% of the time).
Self-motivated and able to work in a fast-paced, dynamic scale-up environment.
Preferred:
Experience in positioning, navigation, or related technologies such as GPS, AI, or computer vision.
Familiarity with government, defense, or aerospace sectors.
Previous experience with API-based or SDK-based products.
We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. We typically get back to candidates within a few days of applying.
If you are passionate about visual navigation and want to make an impact in this exciting and rapidly growing industry, we would love to hear from you. We offer competitive compensation packages, remote work and opportunities for growth within our company.
If you require any special accommodations to participate in this application process, please do not hesitate to email us at careers@skylinenav.com so we can assist you.
To be considered for this role, please complete this brief application form.
Open Role: Implementation Engineer (internship, Burlington, Massachusetts)
Description: Skyline Nav AI, Inc. is a well-funded, commercially successful scale-up focused on revolutionizing visual navigation technology as an alternative to GPS, for our commercial and military customers. We are seeking highly motivated and hungry recent graduates (Bachelor's/Master's) who are passionate about computer vision, computer graphics and AI to join our team.
As an Implementation Engineer, you will be working under the tutelage of two experienced product and R&D focused folks who have delivered many products to market. You will be responsible for developing and implementing computer vision algorithms, GPU shaders, and machine learning models to help our technology achieve high-accuracy visual navigation.
This role is ideal for candidates with 1 to 5 years of industry experience.
Responsibilities:
Design, develop, and test computer vision algorithms and GPU shaders for visual navigation.
Implement machine learning models for object detection and tracking.
Work collaboratively with cross-functional teams including hardware engineers, front-end engineers, system architects, and product managers to ensure the success of our product.
Optimize code for performance and scalability.
Continuously learn new technologies and stay up-to-date with the latest trends in computer vision and AI.
Requirements:
Candidate must be a US citizen, eligible for US Department of Defense Security Clearance.
Bachelor's/Master's degree in Computer Science, Electrical Engineering or related field.
Strong programming skills in Python and C++.
Experience in mobile programming such as Objective C, Kotlin or Java.
Proficiency in GPU shaders for optimization and parallelization.
Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
Good understanding of computer vision, image processing, and machine learning.
Ability to work in a fast-paced, dynamic startup environment.
Ability to pass national security and background checks.
Preferred:
Experience with visual navigation or similar technologies.
Knowledge of drones and autonomous vehicle systems.
Familiarity with Git and Agile software development methodologies.
We don't use automated chatbots to review applicants. Every applicant is reviewed by our leadership team. We typically get back to candidates within a few days of applying.
If you are passionate about visual navigation and want to make an impact in this exciting and rapidly growing industry, we would love to hear from you. We offer competitive compensation packages, remote work and opportunities for growth within our company.
If you require any special accommodations to participate in this application process, please do not hesitate to email us at careers@skylinenav.com so we can assist you.
To be considered for this role, please complete this brief application form.
Skyline Nav AI, Inc. is committed to providing employment opportunities to all hard-working and passionate Americans regardless of their race, color, religion, sex, national origin, military service or veteran status, age, disability, sexual orientation, gender identity and expression, or any other status. We believe that people with diverse background and experiences are crucial for our company and country's success.
