Avatar for IndustrialML

Factory productivity through machine learning

Director of Engineering

$130k – $160k
Apply now
Who We Are: We are an early-stage startup building a software solution for industrial customers. Our platform collects, cleans, and curates factory sensor and enterprise IT data, enabling us to optimize factory productivity. We create customer value first by offering process monitoring and data aggregation. We are then working to provide 100% computer vision inspection to flag poor quality early, and derive further productivity from machine learning-based process improvements and closed-loop factory learning. Our vision is to empower legacy manufacturers with smart factories, machines, and processes.

We were founded by experts in Industry 4.0 and advanced manufacturing, and our advisors are leading experts in applied machine learning for manufacturing. We are working with the largest steel tube factory in Japan as our alpha customer, just completed first close on our seed round, and have made some great additions to our Board and pipeline in recent months. We are ready to start growing our team; now is the time to get in on the ground floor of an exciting opportunity!

Position Summary and Purpose: We are seeking a director of engineering with exceptional leadership, communication, and project management skills, who operates with vision and integrity. You will be responsible for managing the development and deployment of process monitoring, machine vision, data insights, and closed-loop control products over an aggressive timeframe. You can expect to play an active role in the development and completion of projects, work closely with upper management to align engineering activities with company goals and objectives, and manage an international team of employees and contractors. You will interface regularly with prospects and customers at factories to understand and develop product requirements and must maintain positive relationships with all stakeholders.

You will, at this early stage, need to be hands-on with code, as well as check the code written by other developers on the team. As such, you should be a skilled developer with strong expertise in programming, software architecture design, database design, testing, and cloud-based infrastructure configuration. As the company grows, you must be capable of shifting your focus from technologies to management. Ideal candidates will also display a keen interest in international trends in engineering and leadership, and have demonstrated success in designing, architecting, and delivering industrial software platforms.

Duties and Responsibilities:
Implement best practice engineering and project management strategies to execute scalable product development, in tandem with all key stakeholders
Develop and present engineering requirements, budgets and plans regularly
Manage on-site and remote engineering staff including hiring, training, coaching, mentorship, professional development, and performance management
Support and help refine business objectives by establishing product development goals and strategies
Participate in customer meetings or marketing activities from a technical perspective
Promote a strong culture consistent with the company’s core values as the team grows
Manage team collaboration and documentation tools
Provide technical guidance to engineering teams and company management
Constant exploration and assessments of technological trends in the market and how they can be leveraged to create a competitive advantage

Design and help implement software architecture and features
Continuously improve and optimize application architecture and features over time
This includes but is not limited to:
Front end platform architecture
User interactions on web pages
Back end applications
Servers and databases
Web and mobile capabilities
APIs to interface with hardware and software data sources
On-premise and cloud infrastructure configuration
Interface with industrial customers to understand challenges and key metrics to optimize for different kinds of factories
Design and develop machine learning and deep learning systems for later products
Implement trained models into operations on the IndustrialML platform

Desired Experience:
5+ years of industry experience defining, building, and deploying enterprise software
2+ years experience building and leading a team with a customer-deployed end product
2+ years of demonstrated success in technical project management (agile development)
BSc in Computer Science, Mathematics or similar field; graduate degree is a plus
Sufficient relevant experience will be considered in lieu of degrees
10+ years experience writing and debugging robust code using Python, Elixir, Ruby on Rails, and/or analogs
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries

Ideal Candidate Profile:
Self-starter with an entrepreneurial spirit
Strong organizational and project management skills
Excellent verbal and written communication skills, demonstrated with internal company personnel, vendors and customers
Ability to forge good relationships with various types of people, and promote a work culture to do the same
Strong leader, strategic thinker and problem solver with a technical vision
Awareness of startup realities, ability to handle responsibility outside your comfort zone

What We Offer:
Competitive salary and benefits commensurate with experience
Opportunities for equity in an early-stage startup
A positive company culture which values collaboration, hard work, and work-life balance
A chance to get in on the ground floor with a growing team solving challenging problems for factories

Meet your team

People you would work with in this role

Arjun Chandar

Avatar for Arjun Chandar
Entrepreneur, business leader, data scientist, engineer and inventor, expert in Industry 4.0 Directed ops/data science at NVBOTS/CI, then founded IndustrialML.

Hunter Ashmore

Avatar for Hunter Ashmore
Passionate about hardware & science startups • previously Principal @Boeing HorizonX, investment consultant @GE Ventures, researcher @Harvard Business School