{"id":101600,"url":"https://alion.io/job/utexas-digital-signal-processing-dsp-engineering-scientist-gnss","title":"Digital Signal Processing (DSP) Engineering Scientist - GNSS","company":{"id":3658,"name":"The University of Texas at Austin","domain":"utexas.edu","url":"https://alion.io/company/utexas","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":137,"ghost_share":0,"stale_share":0.927,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Hardware","role_family":"Hardware","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":104000,"max":174000,"currency":"USD","period":"year","gross":null,"usd_annual":174000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Python","optional":false},{"name":"HPC","optional":true},{"name":"Verilog","optional":true},{"name":"VHDL","optional":true}],"status":"live","first_seen_at":"2026-07-09T00:00:00Z","employer_posted_date":"2026-07-09","last_verified_at":"2026-10-22T06:11:44Z","board_verified":true,"closed_at":null,"days_open":106,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":105},"description":"Job Posting Title:\nDigital Signal Processing (DSP) Engineering Scientist - GNSS----\nHiring Department:\nApplied Research Laboratories----\nPosition Open To:\nAll Applicants----\nWeekly Scheduled Hours:\n40----\nFLSA Status:\nExempt from FLSA----\nEarliest Start Date:\nImmediately----\nPosition Duration:\nExpected to Continue----\nLocation:\nPICKLE RESEARCH CAMPUS----\nJob Details:\nPurpose\nThis position will implement and optimize algorithms which will combine strong mathematical foundations with software engineering skills to create efficient, real-time signal processing solutions, with a primary focus on implementation over algorithm design and development.\nResponsibilities\nAlgorithm Design & Development: Design and develop GNSS signal processing algorithms including acquisition, tracking, correlation, and demodulation. Translate mathematical models and specifications into efficient software implementations. Optimize algorithms for performance, latency, memory, and power constraints. Prototype and validate algorithms through simulation and testing.\nImplementation & Optimization: Implement DSP algorithms in Python/C/C++ or other appropriate languages. Optimize code for real-time performance on target platforms. Develop and maintain reusable signal processing libraries and components. Perform code reviews and ensure implementation quality. Debug and resolve signal processing issues.\nSignal Analysis & Modeling: Analyze GNSS signals in various domains. Develop simulation models and other testing methodologies to validate algorithms. Characterize system performance under various operating conditions. Investigate and resolve signal processing anomalies.\nSystem Integration & Collaboration: Integrate DSP components into larger systems and applications. Work with hardware teams to implement algorithms on target platforms. Define interfaces and APIs for signal processing modules. Collaborate with firmware, software, and hardware teams on system architecture.\nDocumentation & Best Practices: Document algorithm designs, specifications, and implementation details. Create and maintain technical specifications. Maintain code in version control. Adhere to coding standards and best practices.\nOther related functions as assigned.\nRequired Qualifications\nBachelor's degree in engineering, computer or information science, or other applied sciences.\nThree years of experience in digital signal processing or related field\nStrong foundation in signal processing theory\nProficiency in Python or C or C++ for algorithm implementation\nUnderstanding of real-time processing constraints and optimization techniques\nUnderstanding of discrete-time signals and systems\nKnowledge of spectral analysis and transforms\nFamiliarity with common filter designs and implementations\nStrong analytical and problem-solving skills\nExcellent written and verbal communication skills\nAttention to detail and commitment to quality\nApplicant must be highly organized, have excellent attention to detail, and possess sound scientific judgment. The position will require effective management of their own time with the ability to plan, coordinate, and execute multiple tasks simultaneously. Regular and punctual attendance in the workplace is required.\nUS Citizen. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position.\nPreferred Qualifications\nExperience with GNSS signal processing\n\nExperience with signal processing simulation tools\n\nExperience with embedded processors, GPUs, or FPGAs for signal processing\n\nFamiliarity with receiver architectures for satellite navigation\n\nKnowledge of carrier-phase tracking and positioning algorithms\n\nExperience with hardware description languages such as Verilog or VHDL\n\nFamiliarity with radio frequency (RF) front-end systems\n\nExperience with CPU-based high performance computing clusters for signal processing\n\nExperience with software defined radios/receivers\n\nEligibility for immediate access to classified information.\n\nTen or more years experience in digital signal processing\n\nCumulative GPA of 3.0.\n\nGeneral Notes\nAn agency designated by the federal government handles the investigation as to the requirement for eligibility for access to classified information. Factors considered during this investigation include but are not limited to allegiance to the United States, foreign influence, foreign preference, criminal conduct, security violations, drug involvement, the likelihood of continuation of such conduct, etc.\nPlease mark \"yes\" on the application question that asks if additional materials are required. Failure to attach all additional materials listed below may result in a delay in application processing.\nVisit our website (www.arlut.utexas.edu) for additional information about Applied Research Laboratories.\nUT Austin offers a competitive benefits package that includes: \n· 100% employer-paid basic medical coverage \n· Retirement contributions \n· Paid vacation and sick time \n· Paid holidays \nPlease visit our Human Resources (HR) website to learn more about the total benefits offered.\nSalary Range\n$104,000 - $174,000+/negotiable depending on qualifications\nWorking Conditions\nStandard office conditions\n\nRepetitive use of a keyboard at a workstation\n\nUse of manual dexterity\n\nSome weekend, evening and holiday work\n\nPossible interstate/intrastate travel\n\nRequired Materials\nResume/CV\n\n3 work references with their contact information; at least one reference should be from a supervisor\n\nLetter of interest\n\nUnofficial College Transcripts\n\nImportant for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL RequiredMaterials have been uploaded. Once your job application has been submitted, you cannot make changes.\nImportant for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presentedto upload any additional Required Materials (letter of interest, references, etc.) that were noted above.\n----\nEmployment Eligibility:\nRegular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.----\nRetirement Plan Eligibility:\nThe retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.----\nBackground Checks:\nA criminal history background check will be required for finalist(s) under consideration for this position.\n----\nEqual Opportunity Employer:\nThe University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.\n----\nPay Transparency:\nThe University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.\n----\nEmployment Eligibility Verification:\nIf hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.\n----\nE-Verify:\nThe University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:\n E-Verify Poster (English and Spanish) [PDF]\n Right to Work Poster (English) [PDF]\n Right to Work Poster (Spanish) [PDF]\n----\nCompliance:\nEmployees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.\nThe Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.","description_format":"text","description_chars":10530,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Education","Science & Engineering","Higher Education","STEM Education"],"lifecycle":[{"event":"open","at":"2026-07-09T00:00:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 159 · green card filings: 17","filings_12m":159,"filings_prev_12m":199,"green_card_filings_12m":17,"median_offered_wage_usd":93466,"route":null,"cap_exempt":true,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":4}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.449,"p_room":0.28,"age_days":105,"expected_fill_days":31,"reasons":["seen:105","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":174000,"is_top_pay":false},"html_url":"https://alion.io/job/utexas-digital-signal-processing-dsp-engineering-scientist-gnss","json_url":"https://alion.io/job/utexas-digital-signal-processing-dsp-engineering-scientist-gnss.json","meta":{"generated_at":"2026-10-23T00:00:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3658},"rest":"https://alion.io/mcp/rest/get_company?id=3658"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Futexas-digital-signal-processing-dsp-engineering-scientist-gnss"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Futexas-digital-signal-processing-dsp-engineering-scientist-gnss"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Futexas-digital-signal-processing-dsp-engineering-scientist-gnss"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/utexas-digital-signal-processing-dsp-engineering-scientist-gnss\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Futexas-digital-signal-processing-dsp-engineering-scientist-gnss"}]}