MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.
We are seeking a Deputy Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, data management, decision systems, and mission planning software applications for the US National Security Ecosystem. This is an exceptional opportunity for an engineer with a combination of technical expertise, program leadership experience, and the ability to interface with customers to drive innovation, collaboration, and excellence in a fast-paced, growing organization.
Responsibilities:Set the technical vision and direction for programs, collaborating with internal technical staff and external customers
Lead multidisciplinary teams developing algorithms, software, cloud, and data management solutions
Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery
Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services
Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth
Provide technical oversight and guidance to program team members
US Citizenship and ability to obtain and maintain a Security Clearance
Bachelor’s or Master’s or PhD in Computer Science, Software Engineering, Aerospace Engineering, Electrical Engineering, Physics or a related field
Minimum of 5 years of experience in software development, with a focus on AI/ML, cloud computing, and/or decision systems
Proven leadership skills, with a track record of successfully managing high-performing technical teams
Deep understanding of software development principles, methods, and tools
Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly
Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences
Experience with Agile methodologies and DevOps practices
Familiarity with cloud computing platforms and infrastructure is nice to have
MORSE Corp’s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.
Employees also receive 10 paid holidays per year. MORSE maintains an “open” leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an “unlimited” paid leave policy.
The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.
Similar Jobs at MORSE Corp
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
