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Phd Signal Processing Jobs in Washington (NOW HIRING)

You will work as part of focused teams to transition advanced signal processing algorithms from ... S. citizenship is a government requirement * BS, MS, or PhD in Computer Science, Computer ...

Create system models from circuit diagrams, schematics, source code, signal processing algorithms ... Active CI poly or willingness to obtain one * BS, MS or PhD in Computer Science, Computer ...

IR Seeker Engineer

Columbia, MD · On-site

$90K - $150K/yr

Candidates must have at least 6 years of experience (4 years with a Masters, 2 years with a PhD ... Prior experience with sensor HW design, signal processing, tracking algorithms, and/or resource ...

Software Engineer

Chantilly, VA · On-site

$85K - $152K/yr

Come join the team that is creating cutting edge signal processing and geolocation systems for the ... Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science * Proficient in ...

Lead Software Engineer

Arlington, VA · On-site

$157K - $224K/yr

You will work as part of focused teams to transition advanced signal processing algorithms from ... S. citizenship is a government requirement * BS, MS, or PhD in Computer Science, Computer ...

Lead Software Engineer

Arlington, VA · On-site

$157K - $224K/yr

You will work as part of focused teams to transition advanced signal processing algorithms from ... S. citizenship is a government requirement * BS, MS, or PhD in Computer Science, Computer ...

DSP Software Engineers

Chantilly, VA · On-site

$15.25 - $18.75/hr

MSEE or PhD preferred; BS required. Knowledge of communications systems theory with strengths in analog/digital modulation/demodulation. Knowledge of signal processing algorithms/techniques -C++ a ...

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Phd Signal Processing information

What are the key skills and qualifications needed to thrive as a PhD Signal Processing specialist, and why are they important?

To thrive as a PhD Signal Processing specialist, you need deep expertise in mathematics, statistical analysis, and advanced signal processing algorithms, underpinned by a doctoral degree in electrical engineering or a related field. Proficiency in MATLAB, Python, C++, and experience with simulation tools and machine learning frameworks are commonly required, along with publications or research experience. Strong analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are vital for designing innovative solutions, advancing research, and conveying complex findings to both technical and non-technical stakeholders.

What are some common challenges faced by professionals in PhD-level Signal Processing roles and how can they be addressed?

PhD-level Signal Processing professionals often encounter challenges such as managing large, complex datasets and developing novel algorithms that balance accuracy and computational efficiency. Staying current with rapidly evolving technologies and research can also be demanding. These challenges are typically addressed through ongoing professional development, collaboration with multidisciplinary teams, and leveraging advanced computational tools. Regularly participating in conferences, workshops, and peer discussions can also help professionals overcome research hurdles and stay innovative in their field.

What are PhD Signal Processing professionals?

PhD Signal Processing professionals are experts who have earned a Doctor of Philosophy (PhD) in the field of signal processing, which involves analyzing, modifying, and interpreting signals such as sound, images, and scientific measurements. They apply advanced mathematical and computational techniques to extract meaningful information from complex data. These specialists often work in research, academia, telecommunications, medical imaging, audio engineering, and other industries that require sophisticated data analysis. Their work is crucial in developing technologies like speech recognition, radar systems, and biomedical devices.

What is the difference between Phd Signal Processing vs Signal Processing Engineer?

AspectPhd Signal ProcessingSignal Processing Engineer
Required CredentialsPhD in Signal Processing or related fieldBachelor's or Master's in Electrical Engineering, Computer Science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsIndustry, technology companies, product development
Employer & Industry UsageUniversities, research institutions, some tech companiesTech firms, telecommunications, aerospace, defense
Common Search & ComparisonYesYes

The main difference between Phd Signal Processing and Signal Processing Engineer lies in their focus and credentials. A PhD typically involves advanced research, theoretical work, and academic or R&D roles, while a Signal Processing Engineer applies practical skills in industry to develop and implement signal processing solutions. Both roles require knowledge of signal processing concepts, but their work environments and career paths differ significantly.

What are popular job titles related to Phd Signal Processing jobs in Washington? For Phd Signal Processing jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Phd Signal Processing jobs? Cities in Washington with the most Phd Signal Processing job openings:
Infographic showing various Phd Signal Processing job openings in Washington as of May 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution.
Senior Signal Processing Engineer, Space with Security Clearance

Senior Signal Processing Engineer, Space with Security Clearance

Anduril Industries

Washington, DC

$117.90K - $161.90K/yr

Other

Posted 27 days ago


Anduril rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold.

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S.

military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain. ABOUT THE JOB We are looking for a Senior Signal Processing Engineer to join our rapidly growing team in Washington DC.

In this role, you will be responsible for leading the development discrimination algorithms that separate threats from non-threats, decoys, and debris using EO/IR sensor data for space and missile defense missions. You will design signal processing pipelines including detection, feature extraction, image processing, and develop advanced decision logic to enhance classification performance. This will require deep expertise in signal processing for EO/IR sensors, classification algorithms, detection theory, and proficiency in algorithm development.

If you are someone who loves the challenge of extracting signal from noise, thrives on building algorithms that work in contested and degraded environments, and wants to see your work protecting forces against emerging threats in space, then this role is for you. WHAT YOU'LL DO * Lead the development of discrimination algorithms for EO/IR sensors that classify and distinguish threats from decoys, debris, and clutter in real-time operational environments * Design and implement signal processing pipelines including detection algorithms, feature extraction, image processing, and measurement generation from sensor data * Develop and integrate advanced decision logic to enhance classification performance and adapt to evolving threat environments * Analyze and optimize algorithms for EO/IR sensor phenomenology including noise characteristics, SNR considerations, resolution limits, and environmental effects * Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate discrimination performance * Develop analysis tools to characterize discrimination algorithm performance under challenging conditions such as countermeasures, clutter, and degraded sensing environments * Collaborate with software engineers to transition discrimination algorithms from prototypes to production code optimized for operational deployment * Mentor engineers and provide technical leadership on signal processing approaches and best practices * Engage with customers and stakeholders to understand mission needs, present discrimination solutions, and demonstrate system performance REQUIRED QUALIFICATIONS * Currently possesses and is able to maintain an active U.S. Secret security clearance * Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or a related technical field * 8+ years of experience designing, implementing, and testing signal processing algorithms for EO/IR sensors or similar sensing modalities in aerospace or defense systems * Proven expertise in EO/IR sensor phenomenology including noise characteristics, detection theory, SNR analysis, resolution limits, and environmental effects * Strong proficiency with signal processing techniques including detection algorithms, filtering, and measurement generation from sensor data * Proficiency in algorithm development and coding with demonstrated experience transitioning algorithms to production environments * Experience with modeling, simulation, and testing workflows including physics-based modeling, Monte Carlo analysis, or hardware-in-the-loop environments * Demonstrated technical leadership experience with ability to mentor engineers and drive technical direction * Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate algorithms into operational systems PREFERRED QUALIFICATIONS * Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field * Experience with space or missile defense systems, threat discrimination, or intercept systems * Proven expertise developing advanced decision logic or adaptive algorithms for classification workflows * Demonstrated experience with pattern recognition, computer vision, or image processing for defense applications * Experience handling discrimination challenges including countermeasures, spoofing, and contested/degraded sensing environments * Background in fire control systems, guidance/navigation/control (GNC) integration, or kill vehicle systems * Experience with radar systems, RF signal processing, or multi-modal sensor fusion * Demonstrated experience working within systems engineering processes including requirements management, trade studies, and verification/validation * Experience with MBSE tools (Cameo, Rhapsody, DOORS) or systems engineering toolchains US Salary Range $166,000 - $220,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only.

Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people.

Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates.

We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: * No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process.

Our legitimate recruitment is entirely free for candidates. * Please always verify communications: * Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. * Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency.

If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to . * Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.

* What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ .

By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency.

Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security. Create a Job Alert Interested in building your career at Anduril Industries? Get future opportunities sent straight to your email.

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About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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