1617 Algorithm Engineer jobs in Baltimore,MD

Computer Aided Manufacturing Engineer

Johns Hopkins Hospital

Laurel, MD 20723

Have a Bachelor 's Degree in a technical field or equivalent work experience.
Have 5+ years of experience in printed circuit board manufacturing.
Have 2+ years of experience with printed circuit board computer aided manufacturing software Genesis 2000 and/or InCAM software.
Are familiar with requirements defined in IPC-6012, 6013, 2221, and 2223.
Are proficient in programming in either Perl, CShell, or Python.
Have working knowledge of Microsoft Excel, Word, and PowerPoint.
Have excellent written and verbal communication skills.
Are driven and self-motivated.
Are flexible with tasking, some hands on, and willing to perform equipment and software troubleshooting.
Are able to obtain a Secret level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
Are able to work on site.

BOOZ, ALLEN & HAMILTON

Fort Meade, MD 20755

6+ years of experience supporting DoD or government agencies
3+ years of experience troubleshooting, triaging, or resolving automation issues using Ansible or PowerShell
Knowledge of Agile development
Knowledge of automation tools such as Ansible
Version control systems such as Git
Operating systems such as RHEL and Windows
Virtualization, including VM war e
Ability to develop tools and processes to drive DevSecOps maturity by automating builds, regression testing, monitoring, and pushing releases across environments
Ability to travel to CONUS or OCONUS locations up to 25% of the time
Secret clearance is required.
HS diploma or GED

Lockheed Martin

Severn, MD 21144

Paid Relocation to Severn, MD

Bachelor's degree in Engineering
Experience in PCB fabrication or PCBA assembly manufacturing.
Expertise in board assembly processes and equipment, such as: stencil/paste print, SPI, pick & place, SMT reflow, AOI, selective solder, X-ray inspection, flying probe, cleaning, coating, and programming
Extensive knowledge of IPC and NASA standards; such as: IPC-A-600/610 Class 3, J-STD-001, IPC-6012, IPC-CC-830, IPC-SM-840, IPC-TM-650, NASA-STD-8739.1.
Demonstrated experience with materials used in PCBA manufacturing; such as PCB substrates, polymerics (conformal coating, staking, underfill), solder alloys, and electrical components.
Experience developing and supporting PCBA manufacturing processes (ex. SMT, X-ray, ICT, flying probe, DFT)
Knowledge of circuit analysis, test plan development, and troubleshooting of electrical hardware failures
Skilled in failure analysis tools and techniques (SEM, EDX, X-ray, cross- sectioning) and driving root cause investigations
Experience with rigid and flex PCBs for high power and high data rates in high noise environments
Ability to obtain and maintain a security clearance.
This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Top Secret

CACI International Inc

Fort Meade, MD 20755

TS/SCI with Polygraph
Associates degree in a technical discipline from an accredited college or university. Two (2) years of additional TW experience may be substituted for an associate degree.
Two (2) years of experience as a TW on programs and contracts of similar scope, type, and complexity.
Bachelor's degree in a technical discipline from an accredited college or university. Four (4) years of additional TW experience may be substituted for a bachelor's degree.
Six (6) years of experience as a TW on programs and contracts of similar scope, type, and complexity.
Bachelor's degree in a technical discipline from an accredited college or university. A Master's degree may be substituted for two (2) years of experience, reducing the requirement to six (6) years of experience. Four (4) years of additional TW experience may be substituted for a bachelor's degree
Eight (8) years of experience as a TW on programs and contracts of similar scope, type, and complexity