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Candidates should have prior patent prosecution experience, including application drafting and will have a degree in mechanical engineering, electrical engineering, or similar field.

Relevant experience in patent preparation and prosecution with a degree in electrical engineering, computer engineering, software engineering, computer science, or physics.

Optics-Physics Sensor Engineering Co-ops and Interns at Draper will primarily support the research and development of precision inertial guidance and imaging instruments for existing customers. Physics, materials science, or electrical engineering student with a minimum of a 3.

A defense technology company in Boston is seeking an experienced software developer to implement scalable physics simulations.

We are seeking Physics tutors and teachers in Cambridge.

INITIAL SUCCESS OR TOTAL FAILURE. Americans celebrate fireworks on the 4th of July. The other 364 days, Navy EOD-the Navy's elite bomb squad-is working to prevent the ones that aren't for show. Armed with cutting-edge robotics and explosive disposal expertise, they take on missions that demand skill, precision, and absolute nerve-from parachuting into hostile territory to neutralizing underwater mines. This isn't a job for the ordinary. It's for those who can think fast, stay calm, and operate under extreme pressure-because when it comes to explosives, there's no second chance. Enlisted Officer WATCH VIDEOS ABOUT EXPLOSIVE ORDNANCE DISPOSAL Explosive Ordnance Disposal Technician NAVY EOD: CAREER DETAILS & REQUIREMENTS Responsibilities As an EOD Tech, you'll receive extensive training to perform missions neutralizing explosive weapons in almost every environment. Your duties may require you to: • Detonate and demolish hazardous munitions, pyrotechnics and outdated explosives, • Neutralize various ordnance, including sea mines, torpedoes or depth charges, • Work with cutting-edge technology to remotely disable unsafe ordnance, • Perform parachute or helicopter insertion operations, • Support law enforcement agencies, • Clear waterways of mines in support of our ships and submarines, • Lend your skills and support to other military units or offices, such as the U.S. Secret Service or the U.S. Department of State Work Environment Your missions will take you to every corner of the world. One assignment may have you parachuting from 17,000 feet into enemy territory, while the next may deliver you stealthily to a foreign nation via an 11-foot RHIB boat. It all depends on which unit you're supporting and the type of mission to be completed. Though there will be administrative work, the majority of your time will be spent in the field. Training & Advancement Upon completion of the initial 10-week training at Recruit Training Command Great Lakes (known as boot camp), you'll begin a specialized training program to prepare you for your career as an EOD Tech. EOD Preparatory Course (four weeks) - The Navy EOD training pipeline starts with preparatory training in Great Lakes, IL. Candidates work on swim stroke development, long-range swims and physical conditioning. Candidates receive daily human performance coaching on mental resiliency, strength training form, running, swimming, calisthenics as well as proper rest, recovery and nutrition. Classroom instruction includes introductions to small boat operations, professional military education and risk management. EOD Assessment and Selection Course (four weeks) - After prep, candidates will be challenged in a grueling training environment in which they are constantly assessed on their comfort in the water, physical fitness, academic ability, professionalism and peer rankings. Classroom instruction includes topics such as risk management, dive physics, diving medicine, small boat navigation and Navy maintenance. Daily physical training and assessments are centered around five advanced aquatic adaptability skills, ruck runs, distance swims and the human performance test. At the end of the course, candidates will participate in a formal selection board. Here, instructors will select the best qualified and most likely to successfully complete advanced training to graduate and proceed to diver training. Diver Training (seven weeks) - Next comes dive school at the Naval Diving and Salvage Training Center (NDSTC) in Panama City, FL. Training covers basic concepts of scuba diving as well as dive physics, physiology and basic dive medicine. Candidates also learn about equipment such as the MK16 underwater rebreather and MK25 underwater rebreather. EOD School (44 weeks) - After successfully completing dive school, candidates transfer to Naval Explosive Ordnance Disposal School at Eglin Air Force Base in Fort Walton Beach, FL. This training comes in several sections, each section building upon the skills learned from previous areas of training. Candidates will train in demolition operations, rendering safe bombs, missiles, landmines, defusing Improvise Explosive Devices (IEDs), protecting and detecting against Chemical, Biological, Radiological, Nuclear (CBRN) weapons and mastering skills needed to defeat underwater ordnance such as sea mines and torpedoes. Basic Parachute Training (three weeks) - After completing basic EOD school, graduates attend basic airborne training ("jump school") at Fort Benning, GA, where they qualify as a basic parachutist. EOD Tactical Training (four weeks) - The final phase of training is in San Diego, CA. It teaches helicopter insertion (fast-rope, rappel, cast and special patrol insertion, and extraction rigging), small arms/weapons training, small unit tactics (weapons, self-defense, land navigation and patrolling) and tactical communications (satellite and high frequency). Upon successful completion of the EOD training pipeline, graduates are assigned to EOD mobile units where they gain advanced on-the-job training and experience as members of EOD platoons. Advanced Training - EOD technicians may pursue advanced training options to hone and specialize their skills. Some of these options include: • Parachute water insertion training, • Military freefall, • Advanced Improvised Explosive Device Disposal (AIEDD), • WMD training, • Jumpmaster training, • Small unit tactics, • Small arms instructor, • Language school (Defense Language Institute) For those with further leadership aspirations and a college degree, EOD Officer roles are available, providing the opportunity to lead and train others. Post-Service Opportunities It's also important to note that the specialized training received, and work experience gained in the course of service can lead to valuable credentialing and occupational opportunities in related fields. Education Opportunities Members of the Naval Special Operations community have any number of unique opportunities to advance their education. Navy training provides skills and knowledge in everything from the fundamentals of explosive ordnance disposal to chemical and biological warfare, military tactics, deep-sea diving, as well as other tactical military procedures. Beyond offering access to professional credentials and certifications, Navy training in the NSW/NSO field can translate to credit hours toward a bachelor's or associate degree through the American Council on Education. You may also continue your education through undergraduate degree opportunities like the Navy College Program and Tuition Assistance and the Post-9/11 GI Bill. Qualifications & Requirements No college degree is required to apply for a position as an EOD Technician. However, training is tough and ongoing, and a high degree of difficulty should be expected. You can apply for the Navy Warrior Challenge contract for EOD Technicians at any time during your first enlistment. Entry Requirements • Eyesight 20/200 bilateral correctable to 20/25 with no color blindness, • Minimum Armed Services Vocational Aptitude Battery (ASVAB) score AR+VE=109, MC=51 or GS+MC+EI=169, • 30 years of age or younger, • Pass a physical and separate medical examination required for divers (approved by Diving Medical Officer) Exercise Time Min. Elevated Swim 500 yards (combat sidestroke)* Unlimited 12:30 10:30 Push-up 2:00 50 70 Sit-up 2:00 50 70 Pull-up 2:00 06 10 Run 1.5 miles* Unlimited 12:30 10:00 *Combined swim and run time must be ≤ 23:00 Candidates who achieve the Elevated Physical Screening Test (EPST) scores shown above may qualify for the Enlisted Bonus for Shipping (EB-SHP) program. These elevated standards must be met during your 14-day shipping PST to be eligible for the bonus. Learn more about Navy enlistment bonuses. Additional requirements specific to Active Duty EOD Technician candidates include: • 36 months of obligated service upon completion of training, • No non-judicial punishments or court martial convictions during the 12 months prior to application, • Meet medical standards as specified in the NAVMED P-117, • Meet minimum performance standards, • Pass a hyperbaric pressure tolerance test, • Be on board present command for two years, • Be screened by an EOD Officer or E-6 or above Master EOD Technician NOTE: You should consult your physician or other health-care professional before starting any exercise regime or other fitness program to determine if it is right for your needs. This is particularly true if you (or your family) have a history of illnesses or ailments that can be exacerbated by a change in physical activity. Do not start a fitness program if your physician or health-care provider advises against it. General qualifications may vary depending upon whether you're currently serving, whether you've served before or whether you've never served before. Part-Time Opportunities There are no part-time jobs as a Navy Reserve Sailor in this role. Go back to Careers to find other jobs that have a Reserve component. You can also find out more about what life is like as a Reserve Sailor in the Navy. NAVY EOD - Full HTML Enlisted CAN YOU OUTPERFORM TOP EOD CANDIDATES? Check the EOD PST leaderboard and find a testing event near you. Learn More Compare Navy Careers See how a career as an Explosive Ordnance Disposal Technician compares to other Navy jobs. Compare roles, pay and requirements for each job now.

Candidates should have prior patent prosecution experience, including application drafting and will have a degree in mechanical engineering, electrical engineering, or similar field.

Relevant experience in patent preparation and prosecution with a degree in electrical engineering, computer engineering, software engineering, computer science, or physics.

Job DescriptionDescriptionOPENING DATE: December 4, 2025 CLOSING DATE: January 2, 2026 SERIES/GRADE: IS-1330-11 TYPE OF POSITION: Trust (Non-Federal)Temporary Not To Exceed Two Years With The Possibility Of Extension For An Additional Year. DIVISION: High Energy Astrophysics LOCATION: Cambridge, MA AREA OF CONSIDERATION: This position is open to all eligible candidates. What are Trust Fund Positions?Trust Fund positions are unique to the Smithsonian. They are paid for from a variety of sources, including the Smithsonian endowment, revenue from our business activities, donations, grants and contracts. Trust employees are not part of the civil service, nor does trust fund employment lead to Federal status. The salary ranges for trust positions are generally the same as for federal positions and in many cases trust and federal employees work side by side. Trust employees have their own benefit program, which may include Health, Dental & Vision Insurance, Life Insurance, Transit/Commuter Benefits, Accidental Death and Dismemberment Insurance, Annual and Sick Leave, Family Friendly Leave, 403b Retirement Plan, Discounts for Smithsonian Memberships, Museum Stores and Restaurants, Credit Union, Flexible Spending Account (Health & Dependent Care). Conditions of Employment • Pass Pre-employment Background Check and Subsequent Background Investigation, as required., • Complete a Probationary Period if applicable., • Maintain a Bank Account for Direct Deposit/Electronic Transfer., • The position is open to all candidates eligible to work in the United States. Proof of eligibility to work in U.S. is not required to apply. SUMMARY This is a time-limited position for an Astrophysicist (Post-doctoral Research Fellow) in the High Energy Astrophysics Division of the Smithsonian Astrophysical Observatory. The employee works under the direction of an Astrophysicist within the Division. The purpose of this position is to train postdoctoral researchers to conceive, plan, and conduct highly specialized research in the incumbent's area of expertise. MAJOR DUTIES • Participate in and carry out scientific research and scholarship involving a program of high-resolution spectroscopy and high angular resolution studies on supernova remnants., • Participate in the preparation and submission of proposals for studies using appropriate space-based facilities such as Chandra, XRISM, XMM-Newton, JWST, Roman, etc., • Participate in analysis and interpretation of ground-based optical observations of supernovae and supernova remnants., • Prepare papers, present research results for publication in scientific meetings journals and presentation at conferences. Participate in meetings and conferences to discuss current research and to exchange ideas with other scientists., • Utilize advanced numerical and statistical methods to apply complex spectral and spatial models to the Chandra, XRISM, and XMM-Newton data., • Give advice on analysis techniques and scientific approaches to others working on the same or related projects as appropriate., • Performs other duties as assigned QUALIFICATION REQUIREMENTS Basic Requirements: A. Degree: in one or a combination of astronomy, physics, mathematics, space science, or electronics. The course work must have included differential and integral calculus and 12 semester hours in astronomy and/or physics. OR B. Combination of education and experience -- at least 30 semester hours of courses equivalent to a major in any combination of astronomy, space science, physics, mathematics, and electronics, with required course work as shown in A above, plus appropriate experience or additional education. In addition to the basic requirements, candidates must also possess one of the following: A. Master's or equivalent graduate degree; or B. Minimum of one year specialized experience equivalent to at least grade 9 in the normal line of progression for this occupation. Specialized experience is experience that has equipped the applicant with the particular competencies/knowledge, skills, and abilities to successfully perform the duties of the position such as the analysis and interpretation of astronomical data leading to publications in peer reviewed journals or presentations at meetings or conferences. Or C. Combination of successfully completed graduate level education and experience equivalent to the above. Knowledge, Skills, and Abilities required: • Knowledge of the technical methods, principles and practices of the fields of physics/astrophysics., • Ability to perform scientific research as may be evidenced by receipt of a Ph.D., • Knowledge of and ability to utilize spectral fitting with complex models in XSPEC or SPEX using advanced methods to characterize the parameter space and identify absolute minima from local minima, • Ability to present findings in a publishable format and to present material at professional meetings., • Ability to apply modern computer technology to the solution of scientific programs. What To Expect Next: Once the vacancy announcement closes, a review of your resume will be compared against the qualification and experience requirements related to this job. After review of applicant resumes is complete, qualified candidates will be referred to the hiring manager. Relocation expenses are not paid. The Smithsonian Institution provides reasonable accommodation to applicants with disabilities where appropriate. Applicants requiring reasonable accommodation should contact . Determinations on requests for reasonable accommodation will be made on a case-by-case basis. To learn more, please review the Smithsonian’s Accommodation Procedures. The Smithsonian Astrophysical Observatory is an equal opportunity employer. Please visit the SAO website at Smithsonian Astrophysical Observatory is joined by Harvard College Observatory to form the Center for Astrophysics | Harvard & Smithsonian. The Center is a collaboration between Harvard and Smithsonian designed to ask — and ultimately answer — humanity’s greatest unresolved questions about the nature of the universe. Founded in 1973, the Center for Astrophysics | Harvard & Smithsonian is an ongoing collaboration designed to foster innovation and propel discovery. Our mission is to advance knowledge of the Universe through research in astronomy and astrophysics and in related areas of fundamental physics and geophysics. At the CfA, scientists in a broad range of disciplines study the universe at every scale, from every wavelength, and using telescopes and instruments that span and orbit the globe, all with a single purpose: making groundbreaking discoveries that advance human knowledge.Apply NowApply Now Department Smithsonian Astrophysical Observatory Employment Type Full Time Location Cambridge, MA Workplace type Onsite Compensation $83,742 - $108,859 / year View all opportunities at Smithsonian Astrophysical

Job Description Flexcompute is redefining the future of hardware engineering by making hardware innovation as easy as software. Our Aero Intelligence platform unifies GPU-native CFD, AI-driven geometry automation, and continuous physics learning into the world’s first fully automated, AI-native simulation ecosystem. This enables customers to collapse multi-month engineering cycles into real-time iteration across aerospace, automotive, robotics, energy, and next-generation hardware sectors. Role Overview We are seeking a strategic, data-driven Head of Growth to own Flexcompute’s top-of-funnel engine, multi-channel demand generation, pipeline acceleration, and revenue expansion. This leader will architect and scale an integrated growth motion spanning product-led signals, outbound programs, and ecosystem/partner channels to build a predictable, repeatable pipeline across all customer segments. What Makes This Role Unique You will design and scale the growth engine powering Flexcompute’s next stage of expansion, uniting product-led signals, outbound excellence, and ecosystem growth. This role shapes how the world’s most advanced engineering organizations discover, evaluate, and adopt Flexcompute’s AI-native simulation technologies. Requirements • Own company-level growth strategy: top-of-funnel, multi-channel demand generation, pipeline acceleration, and revenue impact., • Build a predictable pipeline engine across enterprise, mid-market, and strategic segments., • Design, execute, and optimize multi-channel programs: outbound, ABM, PLG signal-based sequences, events, partner-led growth, and content engines., • Build and lead a high-performance growth organization across demand gen, digital, operations, and partner marketing., • Partner tightly with Sales, Product, and Partnerships to translate product capabilities into measurable growth levers., • Develop rigorous analytics: dashboards, funnel models, CAC/ROI analysis, and growth experimentation frameworks., • Drive alignment across GTM leadership to ensure pipeline quality, velocity, and conversion., • 5–10+ years in growth, demand generation, revenue marketing, or growth strategy in a B2B SaaS environment., • Experience scaling GTM motions in the $10–$100M ARR stage., • Proven track record building predictable, data-driven pipeline engines., • Deep familiarity with enterprise SaaS GTM: ABM, multi-threaded outbound, ecosystem-led growth, strategic events, and content development., • Strong operator with analytics fluency — funnel modeling, CAC optimization, dashboarding, and multi-channel attribution., • Highly collaborative across Product, Sales, and Partnerships with the ability to turn product insights into pipeline acceleration., • Excellent communicator capable of influencing both technical and commercial stakeholders., • Pipeline generation and contribution to revenue., • Top-of-funnel velocity, quality, and conversion rates., • CAC efficiency, ROI of growth channels, and campaign performance., • Growth engine scalability across enterprise and strategic segments. Benefits • Competitive compensation with equity of a fast-growing startup., • Medical, dental, and vision health insurance., • 401(k) Contribution., • Gym allowance., • Friendly, thoughtful, and intelligent coworkers.

Job Description MERL is seeking a motivated and qualified intern to conduct research on condition monitoring and fault diagnosis. The intern will contribute to the development of advanced monitoring and diagnostic technologies, with applications that may include electric motors and motor-driven systems. Ideal candidates should be Ph.D. students with a solid background and publication record in one or more of the following research areas: fault diagnosis, prognosis, and health management; electric machine modeling and data analysis; machine learning techniques including transfer learning and domain adaptation for fault diagnosis. Strong programming skills in Python and familiarity with frameworks such as PyTorch are required. Experience with modeling and analysis of electric machines is highly desirable. Senior Ph.D. students in related fields (e.g., Electrical Engineering, Mechanical Engineering, Applied Physics) are encouraged to apply. Start date for this internship is flexible and the duration is 3 months. The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job Description The Computational Sensing team at MERL is seeking a highly motivated intern to conduct fundamental research in radar-based perception (detection, tracking, pose/shape, segmentation) and generation (e.g., waveform/signal synthesis, differentiable radar simulators, dynamic scene generation). Previous hands-on experience with open indoor and outdoor radar datasets is a plus. Familiarity with basic radar concepts and MERL's recent work in radar perception is an asset. The intern will work closely with MERL researchers to develop novel algorithms, design experiments with MERL in-house testbed, and prepare results for patents and publication. The internship is expected to last 3 months. Required Specific Experience • Solid understanding of state-of-the-art perception and generation frameworks including transformer-based (e.g., DETR), diffusion-based (e.g., DiffusionDet), and hybrid neural-physics pipelines., • Hands-on experience with open large-scale radar datasets such as MMVR, HIBER, RT-Pose, HuPR., • Proficiency in Python and experience with job scheduling on GPU clusters using tools like Slurm., • Proven publication records in top-tier venues such as CVPR, ICCV, ECCV, NeurIPS., • Knowledge of basic radar concepts such as FMCW, MIMO, (micro-) Doppler signature, radar point clouds, heatmaps, and raw ADC waveforms. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job Description We seek a highly motivated intern to conduct original research in generative models for instructional video generation. We are interested in applications to various tasks such as video generation from text, images, and diagrams. The successful candidate will collaborate with MERL researchers to design and implement novel models, conduct experiments, and prepare results for publication. The candidate should be a PhD student (or recent graduate) in computer vision and machine learning with a strong publication record including at least one paper in a top-tier computer vision or machine learning venue such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, AAAI, or TPAMI. Strong programming skills, experience developing and implementing new models in deep learning platforms such as PyTorch, and broad knowledge of machine learning and deep learning methods are expected, including experience in the latest advances in video generation. Start date is flexible; duration should be at least 3 months. Required Specific Experience • Experience with video diffusion models, physics simulators, and large vision-and-language models, • Experience developing and implementing new models in PyTorch, • At least one paper in a top-tier computer vision or machine learning venue such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, AAAI, or TPAMI. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job Description Nanobiosym is an innovative company in Cambridge, MA that is developing novel technologies to address a broad range of diseases. Nanobiosym was founded by an MIT/Harvard alum to work at the interface of physics, nanotechnology, and biomedicine. This hypergrowth company allows for unique career opportunities with strong long-term incentives. Nanobiosym is currently seeking top notch candidates to help the company scale up its operations. Nanobiosym is looking for a Technical Supervisor for its High-Complexity Testing CLIA LAB for molecular diagnostics. The role and requirements are below. Job Responsibilities: • Selects test methodology appropriate for the clinical use of the test menu, • Verifies procedures for testing performed and establishes the laboratory's performance criteria, including accuracy and precision of each test and test system, • Enrolls the laboratory in an approved PT program commensurate with services offered, • Establishes a quality control program appropriate for the testing performed, establishes the acceptable levels of analytic performance, and ensures these levels are maintained throughout the testing process, • Resolves technical problems and ensures corrective actions are taken when- ever test systems deviate from the laboratory's established performance specifications, • Ensures patient test results are not reported until all corrective action has been taken and the test system is functioning properly, • Identifies training needs and ensures testing personnel receive regular in-service training, • Evaluates the competency of all testing personnel on an ongoing basis, • Qualified as a Director for high-complexity testing;, • OR Qualified as a Technical Supervisor for high complexity testing;, • OR Doctoral degree in clinical laboratory science or chemical, physical or biological science with 1 year training and experience in high-complexity testing;, • OR Master's degree in clinical laboratory science, medical technology or chemical, physical or biological science and 1 year training and experience in high-complexity testing;, • OR Bachelor's degree in clinical laboratory science, medical technology or chemical, physical or biological science and 1 year training and experience in high-complexity testing;, • OR Associate degree in medical laboratory technology (or pulmonary function) and 2 years laboratory (or blood gas analysis) training or experience, or both, in high complexity testing Refer to the CLIA regulation 42CFR493.1461 for additional qualifications Job Posted by ApplicantPro

Job Description Mitsubishi Electric Research Laboratories (MERL) invites applications for a Postdoctoral Research Fellow position in quantum technologies. This is a distinctive opportunity for early-career researchers to pursue independent work in a collaborative industrial research setting. The position is designed to support original research, publication in top venues, and engagement with MERL’s broader research programs. Postdoctoral Research Fellows are given substantial freedom to shape their agenda, with support and mentorship from MERL’s technical staff. The appointment is for two years, with the potential for a transition to full-time research staff for strong performers. The successful candidate will • Define and pursue an independent research agenda in quantum technologies, • Explore connections to existing MERL research initiatives, • Quantum sensing, • Quantum control, • Quantum error correction, • Quantum computation and applicationsQualifications, • PhD in Computer Science, Electrical Engineering, Physics, Applied Mathematics, or related fields, • Strong publication record in top conferences/journals, • Solid research experience in quantum-related research, • CV/resume, • Full list of publications Further information about our postdoctoral research fellowship program can be found here: . The pay range for this position at the commencement of employment is expected to be between $135,000 and $170,000 per year. Actual base pay will depend on a variety of individualized factors, including job-related knowledge, skills, and experience. In addition to base salary, the total compensation package will include an annual performance-based bonus and a comprehensive benefits program encompassing medical, dental, and vision coverage; a generous 401(k) match; commuting and home office stipends and various paid time off programs (including vacation, sick time, personal and parental leave). Specific details regarding participation in these programs will be provided upon an offer of employment. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions. PRINCIPALS ONLY. No phone calls please. Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

Job Description MERL is seeking an intern to work on physics-informed scientific machine learning algorithms for problems governed by partial differential equations (PDEs). The ideal candidate would be a PhD student in engineering, computer science, or related fields with a strong background in scientific machine learning for PDEs. Preferred skills include experience with autoencoders, transformers, or diffusion models. Strong coding abilities in Python and a deep learning framework such as Pytorch are essential. The intern will work closely with MERL researchers to develop novel algorithms, conduct numerical experiments, and prepare results for publication. The duration is expected to be at least 3 months with a flexible start date. The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job DescriptionOverviewExtropic’s hardware massively accelerates certain kinds of probabilistic inference. Our ML team works on the science of training models in the thermodynamic paradigm, and we are looking for senior research and engineering talent to derive probabilistic ML theory, empirically demonstrate its scaling properties, and deploy performant models. Senior hires will be leading their own research direction and are therefore expected to quickly become experts across our abstraction stack, including the hardware, software, physics, and math.Responsibilities • Collaborate with senior researchers, residents, engineers, and physicists to derive the theory of new probabilistic models and their learning rules, including energy-based models and diffusion models., • Scale up experimentation infrastructure and optimize over the design space of models., • Implement, visualize, and evaluate new architectures, training algorithms, and benchmarks., • Publish papers, contribute to open source, and communicate design insights to our hardware team., • Create production models for domain experts using customer data.Required Qualifications, • Experience in scientific Python and at least one deep learning framework (PyTorch, JAX, TensorFlow, Keras), • Extremely strong foundations in probability and linear algebra, • Familiarity with deep learning theory and literature, including theory of over-parameterization and scaling laws, • Publications in top ML conferences (NeurIPS, ICML, ICLR, CVPR), • Experience training high-performance models, including familiarity with infrastructure (Slurm, Ray, Weights & Biases), • Experience deploying models, including familiarity with infrastructure (Ray, AWS, ONNX)Preferred Qualifications, • Experience designing probabilistic graphical models (PGM), • Experience training energy-based models (EBMs) or diffusion models, • Experience with numerical methods in diffeq solvers, • Experience with message passing or training graph neural networks (GNNs), • Strong theoretical background in information geometry, • Strong theoretical background in random matrix theory

Job Description MERL is looking for a self-motivated intern to research on problems related to complex physical reasoning using digital twins and large vision-and-language models (VLMs). An ideal intern would be a Ph.D. student with a strong background in computer vision, machine learning, and robotics, with broad experience in using state-of-the-art physics engines. The candidate must have a strong background in 3D computer vision and machine learning (specifically in robotics and reinforcement learning), operational knowledge in using VLMs and generative AI, and experience in solving physical reasoning problems. Prior experience training VLMs would be a strong plus. The intern is expected to collaborate with researchers from multiple teams at MERL to develop algorithms and prepare manuscripts for scientific publications. Required Specific Experience • Experience with state-of-the-art physics simulators (both differentiable and non-differentiable), • Experience in neuro-physical reasoning approaches, • Experience in state-of-the-art large vision-and-language models and generative AI models, • Enrolled in a PhD program Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job Description HyperLight is at the forefront of the commercialization of thin-film lithium niobate (TFLN) integrated photonics - a material and process technology that is enabling high-performance, scalable optical components across AI/datacom infrastructure, hyperscale computing, quantum computing, sensing, and beyond. Founded in 2018 and backed by leading venture capital, we’ve built a team and a platform focused on real-world mass deployment of TFLN photonics technology. At the core of our work is the TFLN Chiplet™ platform — a modular, integrated architecture designed for scalability, manufacturability, and seamless integration into complex systems. It offers a rare combination of extraordinary performance and industrial readiness, enabling system developers across applications to deploy the technology fast and ready. We partner with our customers and suppliers from conceptualization, design, and prototyping phases, all the way through mass production to ensure smooth and rapid deployment of TFLN photonic technology. We believe our platform is the key, in the golden age of integrated photonics, to empower humanity to the next level. We assembled a world class team covering engineering, business and operations. We believe in the power of integrity, innovation, collaboration and pragmatic solutions. Our diverse team thrives on challenges and is united by a shared commitment to excellence. We take pride in tackling complex challenges with curiosity, humility, and a deep sense of care for one another. We are expanding our team and seeking a Program Manager, PIC Development to drive projects forward for our industry-leading customers. The selected candidate will be responsible for project planning, resource management, and performance tracking, and driving seamless cross-functional collaboration to produce and deliver our cutting edge chips at scale for mission critical customers and partners. In this role, you will play a key part in ensuring we execute on HyperLight's ambitious goals and accelerating our growth. Key Responsibilities: • Establish project plans and oversee product deliverables, customer engagements, product qualification efforts, and contract manufacturing and global supply chain activities and deliverables., • Collaborate closely with Product, Sales, Operations, and Engineering leaders on planning, resource allocation, and timeline management to meet product and customer milestones and ensure effective execution against project plans and expectations., • Own and improve communication and documentation among cross-functional teams including design, manufacturing, and testing to ensure seamless handoffs., • Monitor and report on project performance metrics, and adjust plans as necessary to ensure timely delivery., • Bachelor's degree in Electrical Engineering, Physics, or related field; advanced degree preferred., • 5+ years of experience in program management in the semiconductor, electro-optical components and fiber-optic tranceiver hardware development industry, with a successful track record of managing engineering projects., • Familiarity of photonic integrated circuits, semiconductor fabrication, and mass production processes., • Excellent organizational skills with the ability to manage multiple concurrent projects effectively., • Proven leadership skills and the ability to engage and motivate cross-functional teams., • Strong communication skills, capable of presenting complex technical concepts to diverse audiences., • Experience with project management tools and methodologies is essential., • Ability to thrive in a fast-paced, dynamic environment while maintaining flexibility in response to changing priorities., • Competitive market-based compensation, • Comprehensive health coverage, including medical, vision, and dental plans for individuals and families, • 401(k) retirement plans with employee matching, • Paid Parental Leave, • Life and disability insurance, • Commuter benefits and subsidies, • Professional growth and mentorship opportunities HyperLight is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.