Senior Solutions Engineer

Edge Impulse is the leading edge AI platform, enabling companies to build smarter edge products. Our technology empowers over 100,000 developers to bring more machine learning products to market faster. Enterprise teams develop industry-specific solutions in weeks instead of years because of our robust platform with custom pre-processing blocks and deployment blocks, which make it significantly easier to put a trained model onto a device. We believe that data-centric engineering is the future of industry transformation, unlocking a positive impact on our society and environment.

We are growing! This technical pre-sales engineering opportunity works with our customers to build and optimize their data management and machine learning strategy. Focus on device-aware machine learning, data onboarding, curation, tuning, and extensibility. Edge Impulse empowers enterprise development teams to rapidly research & develop industry-specific Edge AI solutions and launch successful AI-powered products.

Are you excited about Edge AI? Want to design data pipelines and embedded machine learning solutions for next-generation intelligent products & devices going to market? This is an opportunity to gain experience working across multiple industries, use cases, and technical domains. If this sounds like your next career move, then we want to talk with you.

Primary Responsibilities

• Guide and collaborate with prospective customers as a trusted technical advisor to design and optimize their data management, machine learning workflow, and model deployment with Edge Impulse.
• Contribute to sales & marketing activities by participating in events, visiting prospects, and performing presentations, and demonstrations.
• Work with engineering and account management teams to envision machine learning solutions and solve technical challenges for intelligent devices in industries such as industrial productivity, digital health, and more.
• Develop transformation, processing, training, and deployment code to create machine learning models from large datasets and deploy to resource-constrained devices.

Preferred Skills and Experience

• Track record of multi-disciplinary problem solving and working across domains, teams, and companies to develop complex technical solutions.
• Experience developing embedded or cloud software (python, C/C++, or equivalent) with exposure to Linux or RTOSs.
• Experience with data analysis & machine learning, including Python ML & data libraries (e.g. TensorFlow, Keras, PyTorch, NumPy, Pandas, or equivalent).
• Experience developing, launching, or maintaining technical products in relevant commercial industries (e.g. industrial, medical, automotive, IoT, or related markets).
• Track record of teaming, leading, and consulting to drive ambitious technical projects to success in lean distributed remote organizations.
• Fostering a growth mindset with a demonstrated history of learning, adapting, improving, and growing individually, as a team, and with your customers.

Academic Credentials

• Bachelor's in computer science, data science, computer engineering, or related scientific/technical field
• Master’s degree preferred

What We Offer

• A well-funded company with founders who care about team, users, and values.
• Competitive pay, stock options, benefits, and PTO.
• A dynamic culture that sees work as one element in life (work-life balance).
• A team that’s engaged and inclusive yet global and diverse.

$140,000 - $155,000 a year

We base our salary ranges from compensation research using both historic and real-time salary data sets. We have a reasonable estimate of the current salary range to be US$140K-155K + commission + equity + benefits. This range reflects the minimum and maximum target for new hire salaries for this position in US cities such as Atlanta, Birmingham, Charlotte, Cincinnati, Dallas, Houston, Miami, Nashville, Orlando, Pittsburgh, Raleigh, or Tampa. This role includes a commission plan so the OTE could be above US$180,000. Edge Impulse targets overall compensation at the 75th quartile of the market for similarly placed companies, job families, and grade levels. Our salary ranges take into account a wide range of factors including but not limited to role, grade level, location, training, degrees, certifications, and other business needs.

We are an equal opportunity employer. We appreciate diversity in our remote, global organization. We value inclusivity across our teams. We encourage applicants of all genders to apply for this position. We do not discriminate against any employee or applicant for employment because of race, religion, color, national origin, gender identity, sex, sexual orientation, age, marital status, veteran status, disability status, or any other federal, state, or local protected class.

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